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Erschienen in:
Software-Defined Networking Framework Securing Internet of Things Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

A Systematic Literature Survey: Development of Smart City Based on Various Internet of Things Architectures

verfasst von : Kirti, Gagandeep, Anshu Singla

Erschienen in: Integration of WSN and IoT for Smart Cities

Verlag: Springer International Publishing

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Abstract

The Internet of Things is emerging out as the revolution in research world. IoT has the capability to make the human life smart. Since IoT is in its dawn stage, there is plethora of things that is required to be scrutinized in this high-tech field. Sensors being omnipresent in mobiles to smart homes, smart agricultural fields to smart retail stores, and smart cars to smart cities all are getting connected to each other and acquaint using the Internet. Even the security systems are moving toward smart security systems. In addition to CCTVs, sensors and the Internet can be used to achieve inclined level of sharp security structure of the warehouse. Physical intrusion detection system (IDS), which is a smart security system, can be used to detect the encroachers in zone where humans are prohibited. In this paper, the authors have implemented the physical intrusion detector as the security guard for cold storages. The authors reviewed the IoT-based architectures that are employed to move from urban cities to smart cities. In this paper, the authors thoroughly reviewed the work implemented in the last 7 years to convert urban cities into smart cities.

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Vorheriges Kapitel Caching Policies in NDN-IoT Architecture
Nächstes Kapitel Integration of WSN with IoT Applications: A Vision, Architecture, and Future Challenges
Literatur
1.
Arasteh, H., Hosseinnezhad, V., Loia, V., Tommasetti, A., Troisi, O., Shafie-Khah, M., Siano, P.: Iot-based smart cities: a survey. In: 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), pp. 1–6. IEEE (2016)
2.
Kyriazis, D., Varvarigou, T., White, D., Rossi, A., Cooper, J.: Sustainable smart city IoT applications: heat and electricity management & eco-conscious cruise control for public transportation. In: 2013 IEEE 14th International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM), pp. 1–5. IEEE (2013)
3.
Vlacheas, P., Giaffreda, R., Stavroulaki, V., Kelaidonis, D., Foteinos, V., Poulios, G., et al.: Enabling smart cities through a cognitive management framework for the internet of things. IEEE Commun. Mag. 51(6), 102–111 (2013)CrossRef
4.
Sanchez, L., Muñoz, L., Galache, J.A., Sotres, P., Santana, J.R., Gutierrez, V., et al.: SmartSantander: IoT experimentation over a smart city testbed. Comput. Netw. 61, 217–238 (2014)CrossRef
5.
Gaur, A., Scotney, B., Parr, G., Mcclean, S.: Smart city architecture and its applications based on IoT. Procedia Comput. Sci. 52(Iupt), 1089–1094 (2015)CrossRef
6.
Chakrabarty, S., Engels, D.W.: A secure IoT architecture for smart cities. In: 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 812–813. IEEE (2016)
7.
Latre, S., Leroux, P., Coenen, T., Braem, B., Ballon, P., Demeester, P.: City of things: an integrated and multi-technology testbed for IoT smart city experiments. In: 2016 IEEE International Smart Cities Conference (ISC2), pp. 1–8. IEEE (2016)
8.
Gope, P., Amin, R., Islam, S.H., Kumar, N., Bhalla, V.K.: Lightweight and privacy-preserving RFID authentication scheme for distributed IoT infrastructure with secure localization services for smart city environment. Futur. Gener. Comput. Syst. 83, 629–637 (2018)CrossRef
9.
Memos, V.A., Psannis, K.E., Ishibashi, Y., Kim, B.G., Gupta, B.B.: An efficient algorithm for media-based surveillance system (EAMSuS) in IoT smart city framework. Futur. Gener. Comput. Syst. 83, 619–628 (2018)CrossRef
10.
Dutta, J., Roy, S., Chowdhury, C.: Unified framework for IoT and smartphone based different smart city related applications. Microsyst. Technol. 25(1), 83–96 (2019)CrossRef
11.
Hernández-Vega, J.I., Varela, E.R., Romero, N.H., Hernández-Santos, C., Cuevas, J.L.S., Gorham, D.G.P.: Internet of Things (IoT) for monitoring air pollutants with an Unmanned Aerial Vehicle (UAV) in a smart city. In: Smart Technology, pp. 108–120. Springer, Cham (2018)CrossRef
12.
Arasteh, H., Hosseinnezhad, V., Loia, V., Tommasetti, A., Troisi, O., Shafie-Khah, M., Siano, P.: Iot-based smart cities: a survey. In: 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), pp. 1–6. IEEE (2016, June)
13.
Badii, C., Bellini, P., Difino, A., Nesi, P.: Sii-Mobility: an IoT/IoE architecture to enhance smart city mobility and transportation services. Sensors. 19(1), 1 (2019)CrossRef
14.
Addabbo, T., Fort, A., Mugnaini, M., Panzardi, E., Pozzebon, A., Vignoli, V.: A city-scale IoT architecture for monumental structures monitoring. Measurement. 131, 349–357 (2019)CrossRef
15.
Zhao, Q., Jiang, Z.: Insect Intelligent Building (I 2 B): a new architecture of building control systems based on Internet of Things (IoT). In: International Conference on Smart City and Intelligent Building, pp. 457–466. Springer, Singapore (2018)
16.
Anand, A., Patel, B.: An overview on intrusion detection system and types of attacks it can detect considering different protocols. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(8), (2012)
17.
Gupta, A., Pandey, O.J., Shukla, M., Dadhich, A., Mathur, S., Ingle, A.: Computational intelligence based intrusion detection systems for wireless communication and pervasive computing networks. In: 2013 IEEE International Conference on Computational Intelligence and Computing Research, pp. 1–7. IEEE (2013)
18.
Jun, C., Chi, C.: Design of complex event-processing IDS in internet of things. In: 2014 Sixth International Conference on Measuring Technology and Mechatronics Automation, pp. 226–229. IEEE (2014)
19.
Pongle, P., Chavan, G.: Real time intrusion and wormhole attack detection in internet of things. Int. J. Comput. Appl. 121(9), 1 (2015)
20.
Cervantes, C., Poplade, D., Nogueira, M., Santos, A.: Detection of sinkhole attacks for supporting secure routing on 6LoWPAN for Internet of Things. In: 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp. 606–611. IEEE (2015)
21.
Arrington, B., Barnett, L., Rufus, R., Esterline, A.: Behavioral modeling intrusion detection system (bmids) using internet of things (iot) behavior-based anomaly detection via immunity-inspired algorithms. In: 2016 25th International Conference on Computer Communication and Networks (ICCCN), pp. 1–6. IEEE (2016)
22.
Roux, J., Alata, E., Auriol, G., Nicomette, V., Kaâniche, M.: Toward an intrusion detection approach for IoT based on radio communications profiling. In: 2017 13th European Dependable Computing Conference (EDCC), pp. 147–150. IEEE (2017)
23.
Pacheco, J., Hariri, S.: Anomaly behavior analysis for IoT sensors. Trans. Emerg. Telecommun. Technol. 29(4), e3188 (2018)CrossRef
24.
Mehmood, A., Mukherjee, M., Ahmed, S.H., Song, H., Malik, K.M.: NBC-MAIDS: Naïve Bayesian classification technique in multi-agent system-enriched IDS for securing IoT against DDoS attacks. J. Supercomput. 74(10), 5156–5170 (2018)CrossRef
25.
Subasi, A., Al-Marwani, K., Alghamdi, R., Kwairanga, A., Qaisar, S.M., Al-Nory, M., Rambo, K.A.: Intrusion detection in smart grid using data mining techniques. In: 2018 21st Saudi Computer Society National Computer Conference (NCC), pp. 1–6. IEEE (2018)
26.
Li, D., Deng, L., Lee, M., Wang, H.: IoT data feature extraction and intrusion detection system for smart cities based on deep migration learning. Int. J. Inf. Manag. 49, 533 (2019)CrossRef
27.
Larijani, H., Ahmad, J., Mtetwa, N.: A heuristic intrusion detection system for Internet-of-Things (IoT). In: Intelligent Computing-Proceedings of the Computing Conference, pp. 86–98. Springer, Cham (2019)
28.
Mansour, A., Azab, M., Rizk, M.R., Abdelazim, M.: Biologically-inspired SDN-based intrusion detection and prevention mechanism for heterogeneous IoT networks. In: 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 1120–1125. IEEE (2018)
Metadaten
Titel
A Systematic Literature Survey: Development of Smart City Based on Various Internet of Things Architectures
verfasst von
Kirti
Gagandeep
Anshu Singla
Copyright-Jahr
2020
Buch
Integration of WSN and IoT for Smart Cities

Print ISBN: 978-3-030-38515-6

Electronic ISBN: 978-3-030-38516-3

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-38516-3_4

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