Skip to main content

2024 | Buch

Modern Approaches in IoT and Machine Learning for Cyber Security

Latest Trends in AI

herausgegeben von: Vinit Kumar Gunjan, Mohd Dilshad Ansari, Mohammed Usman, ThiDieuLinh Nguyen

Verlag: Springer International Publishing

Buchreihe : Internet of Things


Über dieses Buch

This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.


IoT Design Methodology: Architectures and Protocols
Internet of Things (IoT) is the next evolutionary domain in this era as well as in the future. It is a paradigm of various and multiple devices that are connected through wired and wireless medium, accessible at any time and anywhere with any system. In the coming years, IoT will become a leading technology and is expected to bridge and synchronise the capabilities of new technologies with existing devices. The devices used in IoT depend on the full-scale computing power to make smart systems. The main objective of IoT is to automate systems by providing semantic power to devices connected to the network with less complexity. In this chapter, we emphasise to provide the schematic details of IoT design methodologies with protocol specifications and design based on the types of infrastructure and functionalities. The core functionalities of publish and subscribe model as well as request/response model are discussed with applications, quality of services (QoS), parameters for efficient communication and management, impact of scalability, interoperability of devices, issues in device interoperability with the environment, different standards or protocols in IoT, IoT working environment and related issues in understanding the standards.
Abhishek Pathak, Jitendra V. Tembhurne, C. Kalaiarasan, Tapan Jain
Communication in IoT Devices
Communication in the wireless network is a backbone for performing the network tasks. Recently, Internet of Things (IoT) devices are used to remotely monitor the system’s performance. Small-sized, smart sensing IoT devices are utilized in wireless network for this purpose. These devices are energy constrained, have less processing power, are used to sense the required environmental parameters, and communicate to the base station via Internet. Sometimes, these devices are communicating with each other for sharing the gathered information. This communication should be efficient enough to collect maximum information in the network. Hence, better communication among the devices leads to the superior performance of the network. Moreover, throughput of the network can be increased by uninterrupted and quality of service (QoS) communication among the devices. To establish a perfect communication anywhere, IoT uses communication technology. There exist various standard communication protocols for wireless network to exchange the information. This chapter provides the role and applicability of different communication protocols used in IoT devices under IoT ecosystem. Furthermore, we also present the comparison of a variety of communication protocols utilized in wireless network based on their behavior, coverage range, power consumption, and other related features. Finally, we suggest the direction and guidelines for selecting an appropriate communication protocol for IoT devices in different applications.
Dipak Wajgi, Jitendra V. Tembhurne, Rakhi Wajgi, Tapan Jain
IoT Security and Privacy
Internet of Things (IoT) is one of the dominating technologies in today’s era and is adopted in a wide range of domains such as industry, business, healthcare, smart grid, vigilance system and autonomous vehicles. The advancement of IoT devices and their speedy growth present numerous challenges such as standards for communication protocol, policies, security, privacy, design and deployment. Recently, IoT is investigated and applied by various researchers in different areas; IoT is considered as an internet’s future, and IoT will change the perspective of business, standards and life-style in the near future. Communication is the major concern amongst the IoT devices to exchange the information. In communication, privacy and security are the non-trivial challenges in IoT networks due to large amount of IoT devices and their susceptibility to security attacks. Inadequate updates of device, incompetent security protocols, lack of privacy and secure device monitoring are the major problems in IoT ecosystem. In this chapter, we explore the relevant IoT systems, privacy and security challenges such as issues in privacy and security, security attacks, techniques to secure IoT ecosystem, existing security methods, and efficient privacy and security models suited for IoT. We also categorize, identify and discuss different privacy and security challenges specific to IoT applications specifically healthcare and smart home and propose the solution to resolve these challenges by state-of-the-art techniques. Moreover, an application of machine learning and deep learning in IoT privacy and security is presented to build robust model to provide enhanced security and privacy.
Jitendra V. Tembhurne, Tausif Diwan, Tapan Kumar Jain
Learning Approaches for Security and Privacy in Internet of Things
The Internet of Things (IoT) is an evolving pattern that concentrates on the links between machine, “things,” the internet, and users. One of the core technologies to achieve Internet of things is Cyber-Physical System (CPS). A new paradigm that pursues the convergence of the physical and cyber spaces in which people live is the cyber-physical system. It is tightly integrated with different cyber and physical systems in terms of scale and level. Consequently, the CPS suffers from some CPS problems that could threaten the lives directly, while the CPS environment, including its various layers, is related to threats on the spot that require studying the safety of CPS. Hence, this survey is based on cybersecurity-based machine learning on Internet of things. This addresses the survey based on various attacks, security, and privacy authentication in cybersecurity, and finally, analyzes the privacy based on future research in cybersecurity.
T. Daniya, M. Geetha, Velliangiri Sarveshwaran, Ch. Madhu Babu
Blockchain Security for the Internet of Things
Blockchain is immutable and shared distributed ledgers for storing the transaction in distributed ledgers. Blockchain technology provides impossibility to change or modify the information that is recorded in distributed ledgers. Blockchain technology can be applied in the real-time IoT operating system, voting model, real estate management platform, and supply chain management. The Internet of Things (IoT) also has similar topologies that we have used in Blockchain (peer to peer network). However, it still suffered from privacy and security vulnerabilities. The combination of Blockchain and IoT is more powerful, and we have to use different applications. This book chapter discusses the blockchain application in different areas. The areas include advertising, insurance and social applications, blockchain music, energy financing, automotive, and agriculture.
N. Nasurudeen Ahamed, P. Karthikeyan, S. Velliangiri, Vinit Kumar Gunjan
IoT and Blockchain-Enabled Charging Station for Electric Vehicles
Transportation and pollution together are the major issues in the present-day scenario. The burning of fossil fuels constitutes a major part of global warming, which in turn influences climatic change. A suitable replacement for fossil fuels could be from renewable sources. But the introduction of electric vehicles is the best-suited alternate in the field of transportation. Switching to an electric model of transportation has a few problems. One of them is the availability of charging stations to charge the vehicle’s battery. This is mainly because there is a lot of background work that needs to be done by a company to set up a charging station and the cost that is involved. Setting up of Blockchain-Based Electric Vehicle Charging Station (EVCS) is the proposed idea. This proposed integrated system connects all the charging stations within a particular cell. The electric vehicles are routed to the allotted charging station inside that cell using a blockchain-based algorithm. This blockchain-based algorithm allocates a charging station to a particular vehicle that has the charging requirements depending on certain factors. Since blockchain is a distributed ledger, it also helps in the futuristic analysis and development of charging stations over a particular area considering factors like peak demand, profit, etc. The proposed system is not entirely based on blockchain but is an integration of blockchain with IoT.
J. Shanmugapriyan, N. Karuppiah, Velliangiri Sarveshwaran, S. Muthubalaji
Human Activity Recognition: Approaches, Datasets, Applications, and Challenges
Human Activity Recognition (HAR) has been such a demanding problem that needs to be solved. The main focus area of HAR is in healthcare, providing assisted living, especially to elderly people and physically disabled people. This field is getting so much importance as this technique can avoid long hospitalization by monitoring the patients at their residents only. This is done with the help of some other technologies like the Internet of Things (IoT). HAR is made possible by the use of sensors (wearable and non-wearable), smartphones, and images. The data collected by these sensors are stored in the form of a dataset. Then data pre-processing, feature extraction, and classification algorithms are applied to these datasets to get the desired outcome. In this chapter, different publicly available datasets are discussed along with the approaches that can be used to deal with HAR, then its different applications and the challenges that are being faced in the proper execution of HAR systems have been discussed.
Alisha Banga, Ravinder Ahuja, S. C. Sharma
Deep Learning for IoT
Internet of Things (IoT) is considered as a huge network of objects or things, capable to communicate data among these things or from one object to any other device/system connected through internet. The term “thing” may contain a sensor, is run through software, or is influenced by any other tools through which it can capture, process, or analyse the data. The generated data in any IoT device or network is enormous, structured or unstructured, unimodal or multimodal, and temporal or sequential, and it should be processed effectively and efficiently for capturing and transmitting the meaningful information rapidly to any other device/thing. Deep Learning can be considered as a branch of Machine Learning, heavily adopted by the research communities due to its huge data handling and processing capability. Various deep learning models such as Convolutional Neural Networks, Recurrent Neural Networks, and its architectural variants such as Long Short-Term Memory and Gated Recurrent Unit are useful for better feature extraction from unimodal or multimodal data. Due to enhanced computational capabilities of various devices with the help of high-end computers or accelerators, it has become useful to run the aforementioned deep models on this huge amount of data. With the advent of Deep Learning and IoT, breakthrough achievements by various IoT applications have been observed using deep learning models in various domains such as healthcare, smart homes, smart cities, smart transportation, and many more. Herein, we present issues, challenges, role, and applicability of deep learning models in various IoT devices and applications in the aforementioned domains with an emphasis on healthcare domain. However, other domains are also covered in brief. Moreover, in addition to the aforementioned mainstream deep models, we also brief the role and applicability of other deep models such as Auto encoders, Recursive Boltzmann Machine, and Adversarial Networks in various IoT applications. In addition, we present the architectural advancements of mainstream deep models as the future research direction to leverage the performance improvements in various IoT devices and applications.
Tausif Diwan, Jitendra V. Tembhurne, Tapan Kumar Jain, Pooja Jain
Internet of Everything: Applications
Internet of Things (IoT) is a network of physical things, which includes variety of smart sensing devices connected over the internet. These devices continuously monitor their surrounding parameters such as temperature, humidity, pressure, healthcare information, etc.; moreover, communication takes place among the devices thereby substantiating an intelligent IoT system. The benefit of this system is to convert raw data into meaningful information. It helps in taking involuntary decisions for the specific purpose for which the system is designed. Abundant ingenious applications have been developed in the past using IoT, which are completely solitary. These applications provide efficiency and flexibility to the manual work, which were initially carried out without an application of IoT. Research community is continuously striving for automation, and thereby better solution is being provided by IoT. Moreover, an availability of varieties of IoT devices makes the IoT systems more intelligent and smarter day-by-day. It is predicted that, in the near future, everything around us will use an internet for communication and will become an Internet of Everything (IoE). The future will be de facto steered by IoE where people, data, process, and things will be tied together to provide more relevant and valuable information than ever before. It is an upcoming distributed technology, providing great experience and groundbreaking opportunities in the business. This chapter presents diverse applications of IoT by adopting IoE in different domains such as agriculture, security, medical, industry, domestic, wearable, etc. with the emphasis on issues, challenges, and applicability.
Rakhi Wajgi, Jitendra V. Tembhurne, Dipak Wajgi, Tapan Jain
Artificial Intelligence and Machine Learning with IoT
For decades, humans have been intrigued by the concept of an intelligent and independent self-learning machine. The idea behind Machine Learning (ML) is to simplify the development of analytical models such that, with the help of available data, algorithms can learn continuously. Internet of Things (IoT)-enabled devices are the major sources of data generation for creating all the data in a variety of ways. Making smart IoT applications involves intelligent processing and analysis of this generated data (Big Data). ML may be used in cases where the desired effect is defined (supervised learning) or where data itself is not defined beforehand (unsupervised learning) or where learning is the outcome of the interaction among the learning model and the environment (reinforcing learning). In this chapter, we present and discuss a classification of machine learning algorithms, which can be used in conjunction with IoT. Furthermore, how different machine learning techniques are applied to derive higher-level information from the data is illustrated. Lastly, we investigate the real-world IoT data characteristics that involve an interpretation of the data.
Shailendra W. Shende, Jitendra V. Tembhurne, Tapan Kumar Jain
Performance Analysis of Cellular Internet of Things Using Cognitive Radio
Cognitive radio is a promising technique for cellular Internet of Things including 4G/5G in next generation wireless systems. The challenges of the next generation wireless networks include reducing the overall latency of the cellular networks and enhancing the spectral efficiency without compromising reliability and computational complexity. The feasible solution is the existence of networks operating over different frequency bands. However, the major challenges are data bandwidth support and spectrum availability. Cognitive radio networks are the best option available to meet all these challenges for cellular IoT and 5G beyond networks. The main objective of cognitive radio is to sense the spectrum for empty slots. In this chapter, an algorithm based on spectrum sensing is presented. The algorithm senses the spectrum using multiple sequences of primary and secondary users and empty slots are filled. Cognitive radio technology is implemented for enhancing the detection probability of the target. Thus, overall spectral efficiency increases.
Priyanka Mishra, Prabhat Thakur, G. Singh
IOT for Healthcare
In today’s modern environment of networking, with the growth of the Internet of Things (IoT), both individuals are linked to one another through some kind of interaction. The IoT regarding diagnostic instruments will generate information that can help to improve not just equipment reliability and furthermore patient welfare. The IoT is becoming recognized worldwide across industry and various providers, especially in healthcare. This article addresses the numerous IoT-facilitated technologies and procedures in the field of healthcare for toddlers, infants, chronic treatment, patient’s medical surveillance, operating rooms, and drug dispensers; in addition, it is going to study how the IoT transition is reshaping traditional medical services, with exciting technological, fiscal, and social implications. This article discusses developments in IoT-based healthcare technology and examines state-of-the-art infrastructure frameworks, implementations, and technological patterns in IoT-based medical care strategies.
G. Suryanarayana, L. N. C. Prakash K, Mohd Dilshad Ansari, Vinit Kumar Gunjan
Landslide Monitoring System Using an IoT Wireless Sensor Network
Landslides are a common phenomenon globally and also in Vietnam. The damage significantly affects people’s lives and property. However, its predictions and warnings are still sketchy. Continuous landslide warning monitoring systems were built to minimize the damage caused by such landslides. A landslide monitoring system using wireless sensor networks can detect soil movement, measure movement, and send an alert level and position landslide or in danger of landslides for the center. All causes and factors related to this dangerous phenomenon will be automatically recorded and archived and give accurate warnings. Wireless sensor network (WSN) is an energy-saving technology solution such as sensor selection, changing sampling frequency, and switching network configuration based on operating scenarios. Furthermore, micro electro-mechanical system (MEMS) sensors with low power consumption are used to receive ground displacement information instead of traditional measuring sensors. This chapter will focus on surveying and evaluating landslide monitoring systems using a wireless sensor network.
Gian Quoc Anh, Tran Binh Duong, Vijender Kumar Solanki, Duc-Tan Tran
Precision Livestock Farming Systems Based on Accelerometer Technology and Machine Learning
Livestock production systems play a key role in improving human food demand in terms of quality and quantity. It is essential to monitor well health, reproductive and other issues, activities of cattle and poultry to take timely measures when problems occur. In the animal husbandry industry, cow cattle breeding is an important part and is being invested and thrived with the support of high technology. Cow behavior classification has been reported as a way of early detection of diseases, and interactions in the herd that affect health. Behavior changed when the cow is sick may include decreased daily activities such as eating, drinking, walking, standing, or lying down. Surveillance of cows is centralized in the three most common directions, monitoring and classification of cows’ behavior, injury detection, and determination of the time of reproduction. An operational monitoring system supporting livestock usually consists of a central processor, a computer tasked with receiving information and processing information according to behavior classification algorithms, through information cattle activity. The units gather information about cow activity through sensors and send it to the central processor. In addition, the system can store data and upload data to the internet, which is convenient for monitoring cow’s behavior, managing, and processing information. The main objective of this review is to discuss a methodology to implement precision livestock farming (PLF) sensor systems based on accelerometer technology and machine learning. This methodology uses a feature set and data window to describe leg-mounted or collar-mounted acceleration data to improve the performance of behavior classification.
Duc-Nghia Tran, Phung Cong Phi Khanh, Tran Binh Duong, Vijender Kumar Solanki, Duc-Tan Tran
Smart IoT-Based Greenhouse Monitoring System 
Greenhouses are managed space setting to grow plants. In order to understand the majority of plant growth, continuous monitoring and control of environmental parameters such as temperature, humidity, soil moisture, and light are crucial for the greenhouse system. Main theme of this project is to observe and measure the various parameters such as temperature, humidity, light intensity, and soil moisture of the crop/plants. Maintaining constant/specific environment is requirement of a particular crop or plants. Temperature, humidity, light intensity, and soil moist are measured with the help DHT11, light dependent resistor (LDR), and soil moisture sensor, respectively. All environmental parameters are dispatched to android cell phone via online. Using cloud, we can observe and store the parameter details. All farmers can control their greenhouses from any place by understanding the status of their greenhouse parameters at any time and so they can control actuators (cooling fan, exhaust fan, water pump, artificial gentle, and motor pump) to regulate environmental parameters. So, the person can monitor parameters by cloud.
Agilesh Saravanan . R, Gowri Priya, Sai Nishanth, Praveen Sai, Vasanth Kumar
Automatic Water Irrigation System Using IoT
Indian horticulture is different going from devastated ranch towns to created ranches using current rural advancements. Office farming region in China is growing, and it is driving throughout the world. Notwithstanding, the biological system that controls innovation is as yet youthful, with a low degree of insight. Advancing the utilization of present-day data innovation in agribusiness will tackle a progression of issues looking by ranchers. The absence of careful data and correspondence prompts the misfortune underway. Our paper is intended to defeat these issues. This framework provides an astute observation stage structure and framework structure for an Internet of Things (IoT)-dependent office farming setting. This will act as a catalyst for the transition from traditional to modern agriculture. This also provides an opportunity for fresh innovation and management development in IoT application development. The IoT makes everything associated. More than a long time since autonomy, India has gained gigantic ground for food efficiency. The Indian population has significantly increased, yet food grain creation more than quadrupled there has accordingly, generous expansion in accessible food grain per capita. Current agribusiness rehearses have an extraordinary guarantee for the financial advancement of a country.
P. Sanjan Miller, B. Sai Bhaskar Reddy, M. Govardhan Reddy, M. Sridhar, Surendra Kumar Bitra
Development of Safety Monitoring for an IoT-Enabled Smart Environment
With the increased utilization of reconnaissance mission cameras, a library is proffered in this paper that is employed to try to image preparing victimization programming languages such as Python. This task uses Open CV Library to show the gap between the article and the camera for the eudaimonia checking of the IoT climate. We have added two modules to the reconnaissance mission camera. The first is to understand the items that area unit falling or unit victimization object space detector, once the factor has been recognized, then the client will get a caution message and for that it should have a tendency to victimize Global System for Mobile communication module. Second, there are various prospects to urge an upgrade of the observation camera thanks to deluge or water for the popularity of water precipitation board module and management module that includes an LM393 comparator on the off-chance that the appliance known the precipitation, at the time it sends the message to the consumer. Results gained through screen captures of the examinations show the suitability of the planned plot.
A. Harshitha, Ch. Manikanta Uma Srinivas, M. Eswar Sai, Krishnaveni Kommuri, P. Gopi Krishna
Design of a Corn Seed Sowing Machine for Uniform Distribution of Corn Seeds Using Optimum Seed Distribution Algorithm
With the increase in population, improving the food production is essential. The advancement of technology is imperative to the agriculture sector in order to minimize the conventional tedious cultivation process and to produce quality food products for better welfare of the human basic food needs and prognosis rate improvement. This chapter proposed triple modular redundancy (TMR) at each sensing stage of the corn seed sowing machine in order to achieve the redundancy and to improve the functional efficiency. The machine is supervised remotely by the operator for monitoring the functional efficiency. Highway addressable remote transducer (HART) communication protocol is used to communicate between remote and local controller. In order to improve the production rate, equal corn seed distribution is the primary objective for optimum corn seed utilization and distribution. The essential design parameters are estimated theoretically. The fault analysis at both sensing and communication stages is monitored with the local and remote controllers. This will improve the functional efficiency of the machine. The designed corn seed sowing machine will reduce the human intervention and improve the production rate.
A. Bhujangarao, K. Vidyasagar, B. Surya Prasad Rao, G. Suryaprakash
IoT-Based Wastebin-Monitoring and -Tracking System Using GSM and GPS
The Internet of Things (IoT) could take advantage of the results of a large number of systems while offering open accessibility to specific statistics for the development of a plethora of digital answers. Building a user-friendly architecture for the IoT is a complex task because of the large variety of devices, the web link layer of modern-day technology, and the different services required for each device. India relies on a dependable choice for tracking the waste levels for its waste treatment facilities: The entire system is IoT based. The ultrasonic sensors inside the wastebin continuously monitor the level of waste, and the system relays that information to the control office. This IoT-based wastebin surveillance system prevents the overflowing of wastebins, which keeps cities clean, reduces unwanted odors, and minimizes health problems. Its first feature detects the movement of a human hand via its infrared sensor, at which point the wastebin lid opens up. Its second feature seals the lid to the wastebin, which guarantees that no odor will be emitted from the wastebasket while the lid is down.
Khode Mounika, E. N. V. Purna Chandar Rao, Sudha
Implementation of Secure Health Care Application Using IoT
The main focus of this chapter is on the health care application using the Blowfish and ECC algorithms for providing security to the data.
In the current evolving and technophiles world, providing security for healthcare applications is one of the hectic tasks. Security is one of the crucial parameters and it plays an incredible role in IoT to secure details of patients and their health status. As we are having many cryptography algorithms, we have chosen lightweight cryptography algorithms such as Blowfish from symmetric and elliptical curve cryptography from asymmetric. Moreover, a dataset is taken, which consists of details of patients and includes many parameters based on their heart. Our main problem these days is to secure personal details from cyber attacks so using this, we can solve this problem. Furthermore, the reason behind choosing two algorithms is we also want to compare both algorithms by considering the size (plain text and cipher text) of the text and time (encrypt time and decrypt time) taken for whole process while running the code in python and at last, we not only give a solution for securing but also we compare and show, which is best.
Hema Sai Sree Gullapalli, Deepika Lakshmi Gunnam, Gopi Krishna Popuri, Kiran Kumar Anumandla, Shaik Razia
Air- and Sound-Quality Monitoring with Alert System Using Node MCU
The primary objective of the Noise and Air Quality Measurement System is to address the escalating issues of sound and air pollution in contemporary times. It is imperative to continually monitor air pollution levels and maintain them within acceptable limits for the sake of our future well-being. The versatility and convenience of the Internet of Things (IoT) have made this monitoring task more feasible. The rapid urbanization and the proliferation of industries, coupled with the increase in vehicular traffic, have significantly impacted our environmental conditions. The detrimental effects of pollution range from mild allergic reactions such as throat, eye, and nose irritation to severe health problems like bronchitis, heart diseases, pneumonia, lung disorders, and aggravated asthma. Monitoring activities provide us with data on air pollutant and noise pollution concentrations, which can then be analyzed, interpreted, and presented. This information serves various purposes. The analysis of monitoring data allows us to assess the daily severity of air and noise pollution, offering valuable insights into their fluctuating levels.
Ch. Bhupati, J. Rajasekhar, T. Mohan Kumar, Ch. Nagendra, A. Bhanu Chand
IoT-Enabled Patient Assisting Device Using Ubidots Webserver
This project is to design a new medical device, which helps to monitor medications for aged and disable people to take medicine at correct time. For better assisted living, a device is used, which is called as MEDIBOX. Through this gadget, the limits like temperature and moisture can be estimated. Using IoT-empowered sensors and important equipment, it helps people in taking as much time as necessary maintaining a strategic distance from future outcomes. The principal objective of proposed framework is to make an easy-to-understand plan that the patients can use as an update caution to take as much time as is needed. The gadget consolidates three principal parts: hardware, cooling framework, and force supply. The hardware fuses numerous sensors joined with the necessary equipment parts. The cooling system consists of a cooling module and dispersal units. It consolidates a Peltier contraption, exhaust fans, and warmth sink. This is a power supply used for our proposed system.
Chella Santhosh, P. Kanakaraja, M. Ravi Kumar, C. H. Sai Sravani, V. Ramjee, Y. Asish
Smart Home-Based Smoke Detection with Image Surveillance System
Smoke detection senses smoke, which is typically an indicator/upcoming indicator of fire to be aware in order to prevent the loss of life, infrastructure, etc. In real time, a certain owner may face some difficulties to know the exact current situation of their infrastructure, either they leave for a short or long period of time, especially in the incident of smoke. If the smoke occurs without any notice for longer durations which may result in the fire, then the owner might suffer a lot of losses, especially the destruction of property and human life. In order to avoid this problem, we designed a smoke detection system using ESP32 that detects the smoke or gas leakage and then, notifies the house owners by using a Telegram Bot through a mobile phone by sending the alerts, followed by real-time images. Hence, the presence of a smoke detection system is necessary for avoiding fire hazards and helps in keeping our family safe. In the house, we have air pollution through the form of dust, smoke, or any leakage of LPG gas from cylinder or leakage of fire extinguisher. Predominantly, here, the major hazardous situation is leakage of LPG gas from cylinders and causes heavy damage to us and our surrounding. So, we are focusing on the gas leakage and also smoke emitted by the fire accidents.
K. Kiran Kumar, P. S. G. Aruna Sri, G. Vijay Kumar, G. Murali
IoT-Based Smart Irrigation System
Farmers typically deal with huge segments of land to develop various kinds of harvests. It is not generally feasible for one individual to have the option to monitor the whole farmland constantly. Here and there, it is happened as the certain patch of land gets more water prompting waterlogging, or it may get even less water. In both the cases, the yields can get harmed and farmer may endure misfortunes. So, to tackle this issue, in our proposed model client can screen sensed values from a distant area. The circuit continues checking the moisture substance of the soil by methods for a moisture sensor and updates the “moisture content.” The end user will have access to the measured data remotely. Sensors sense the moisture content in the soil and then transmit the data remotely with the help of Wi-Fi module in NodeMCU. It is a microcontroller that collects data from remote sensors, processes it, and transmits it using a Message Queue Telemetry Transport protocol that enables them to track agricultural land using their remote application.
P. S. G. Aruna Sri, K. Kiran Kumar, B. B. V. S. V. Prasad, G. Vijay Kumar
Agricultural Monitoring and Control of a System Using Smart IoT Devices
Our objective is to improve modern arable practices by using cutting-edge technology in agriculture to modernize the agricultural system with better performance and analysis. The Internet of Things (IoT) plays a vital role in smart agriculture. Our work intends to help small farmers use smart irrigation in their agricultural practices. It also intends to reduce the cost of irrigation. Smart irrigation is an experimental solution that uses the IoT sensors that can record agricultural data on cultivation fields and automatically send those data via the Internet. These data include temperature, humidity, and pH values that are stored on the cloud.
The processed data from the sensors are uploaded via Wi-Fi transmission to a website that acts as a database. Each operation can be controlled with a mobile smart device or a Wi-Fi-connected laptop, depending on the operation. We have improved performance by using sensors that interface with IFTT applications, an agriculture app, Raspberry Pi, and Wi-Fi.
Y. Padma, M. Sailaja, Shaik Razia, Mohammed Ali Hussain
An IoT Framework to Support Rural Population with Diabetic Related Issues via Optimization Algorithms
Currently, image processing and IoT technologies are notable in unravelling various challenges for medical imaging. The use of the proposed method is known to include high-risk disorders such as diabetic cardiomyopathy and diabetic myonecrosis. This research aims to study the development and segmentation of the cross-sectional image of the capillary blood of a diabetic’s right coronary artery picture and also to use IoT sensors. There are restrictions on clinical diagnosis and analysis of medical images collected by different testing methods that are currently available in a given problem. This medical image analysis is to be done in a new way by changing the algorithm based on both image processing and IoT systems.
Vinit Kumar Gunjan, Fahimuddin Shaik, Rashmi Pathak
IoT-Based Heart Disease Prediction System
Health is wealth and it cannot be discarded. Among the many diseases, we see heart disease as the major cause of deaths. Advancement in technology and its impact on people have led to a healthy lifestyle among people. Medical services monitoring frameworks have emerged as possibly the most important framework and have become a source of innovation during the last years. People are coping with the issue of sudden death due to various illnesses because of a lack of clinical concern for the patients at the appropriate moment. The main goal was to create a strong patient noticing structure based on IoT so that clinical consideration professionals can screen their patients, who are either hospitalized or at home, utilizing an IoT-based facilitated clinical benefits system with the goal of assuring patients are truly centered around better environment. Sensors, information securing unit, a microcontroller, and a product were used to construct a cell phone-based remote medical care observing framework that can provide constant online data about a patient’s physiological states. The patient’s temperature, heart rate, and EEG data are all reviewed, displayed, and saved by the framework before being sent to the specialist’s portable with the program. As a result, IoT-based patient monitoring frameworks successfully check patients’ well-being state and save lives on time.
Vemula Manvitha, Syed Musthak Ahmed, P. Ramchandar Rao, Vinit Kumar Gunjan
Smart Agriculture Monitoring System Using IoT
Agriculture plays an important role in the development of any country. Around 70–75% of the Indian population depend on agriculture and 1/3rd of the capital of the country comes through farming. There have been several issues in concern with agriculture that were hindering the growth and development of the country due to migration of the people from rural to urban. To overcome this problem, the paradigm is toward smart agriculture using several techniques like Internet of Things and big data analysis. These technologies have emerged and modified the cultivation system. By incorporating sensors that study the environment humidity, temperature make cultivation possible by saving farmers time and effort by adding sensors. With the application of IoT, it is anticipated that 28 billion things are going to be connected through Internet and one such being agriculture. The present system is implemented for smart farming using Internet of Things (IoT) sensors, thereby gathering information about the conditions of the crop needs and automatically controlling resulting in improved yield and efficient crop, and the work is implemented using Arduino Uno along with temperature, moisture, soil dryness, and rainfall detector. Using this system, one can monitor from any location and carry out cultivation.
Erra Thirupathi, Chakradhar Adupa, P. Ramchandar Rao, Vinith Kumar Gunjan, Syed Musthak Ahmed
Modern Approaches in IoT and Machine Learning for Cyber Security
herausgegeben von
Vinit Kumar Gunjan
Mohd Dilshad Ansari
Mohammed Usman
ThiDieuLinh Nguyen
Electronic ISBN
Print ISBN