Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Soft Computing

16.05.2023 | Focus

Cloud data transmission based on security and improved routing through hybrid machine learning techniques

verfasst von: Shamimul Qamar, Mohd Amaan, Mohammed Inamur Rahman, Ibrahim Aqeel, Mohammed Shuaib, Ibrahim Mohsen Khormi, Shadab Alam

Erschienen in: Soft Computing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

A shared environment and the computer paradigm are combined in cloud computing (CC), enabling multiple users to access services and resources. This ecosystem is not only globally accessible via the Internet, but it can also be shared at all levels. All levels of resources, platforms, and infrastructure can be traded with a variety of clients. This research propose novel method in cloud data transmission with security and enhance routing by hybrid machine learning techniques. Here, the cryptographic-based cloud architecture and routing for data analysis is carried out using hybrid of support auto-encoder gradient neural networks. The experimental analysis in terms of data transmission ratio, specificity, training accuracy, validation accuracy, security analysis. Proposed technique attained data transmission ratio of 65%, specificity of 78%, training accuracy of 93%, validation accuracy of 83%, and security analysis of 65%.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
Almaiah MA, Ali A, Hajjej F, Pasha MF, Alohali MA (2022) A lightweight hybrid deep learning privacy preserving model for FC-based industrial Internet of Medical Things. Sensors 22(6):2112CrossRef
Bal PK, Mohapatra SK, Das TK, Srinivasan K, Hu YC (2022) A joint resource allocation, security with efficient task scheduling in cloud computing using hybrid machine learning techniques. Sensors 22(3):1242CrossRef
Chen JIZ, Smys S (2020) Social multimedia security and suspicious activity detection in SDN using hybrid deep learning technique. J Inf Technol 2(02):108–115
Deebak BD, Al-Turjman F (2020) A hybrid secure routing and monitoring mechanism in IoT-based wireless sensor networks. Ad Hoc Netw 97:102022CrossRef
Haseeb K, Ahmad I, Awan II, Lloret J, Bosch I (2021) A machine learning SDN-enabled big data model for IoMT systems. Electronics 10(18):2228CrossRef
Haseeb K, Jan Z, Alzahrani FA, Jeon G (2022) A secure mobile wireless sensor networks based protocol for smart data gathering with cloud. Comput Electr Eng 97:107584CrossRef
Lira LAN, Kumari KA, Raman R, Kurniullah AZ, Morales SAG, Cordero TDCE (2022) Data security enhancement in 4G vehicular networks based on reinforcement learning for satellite edge computing. Int J Commun Netw Inf Secur 14(3):59–72CrossRef
Magaia N, Fonseca R, Muhammad K, Segundo AHFN, Neto AVL, de Albuquerque VHC (2020) Industrial internet-of-things security enhanced with deep learning approaches for smart cities. IEEE Internet Things J 8(8):6393–6405CrossRef
Marwah GPK, Jain A, Malik PK, Singh M, Tanwar S, Safirescu CO, Alkhayyat A (2022) An improved machine learning model with hybrid technique in VANET for robust communication. Mathematics 10(21):4030CrossRef
Mayuranathan M, Saravanan SK, Muthusenthil B, Samydurai A (2022) An efficient optimal security system for intrusion detection in cloud computing environment using hybrid deep learning technique. Adv Eng Softw 173:103236CrossRef
Nelson SC, Singh RK, Prakash GL (2022) Hybrid deep learning model based on Intelligent Microbat Routing (IMR) and popularity content caching (PCC) for an effective caching and routing in vehicular edge networks. Comput Electr Eng 103:108353CrossRef
Seyfollahi A, Taami T, Ghaffari A (2023) Towards developing a machine learning-metaheuristic-enhanced energy-sensitive routing framework for the internet of things. Microprocess Microsyst 96:104747CrossRef
Sharma VK, Mohapatra SK, Shitharth S, Yonbawi S, Yafoz A, Alahmari S (2022) An optimization-based machine learning technique for smart home security using 5G. Comput Electr Eng 104:108434CrossRef
Sirajuddin M, Rupa C, Iwendi C, Biamba C (2021) TBSMR: a trust-based secure multipath routing protocol for enhancing the qos of the mobile ad hoc network. Secur Commun Netw 2021:1–9CrossRef
Sugadev M, Rayen SJ, Harirajkumar J, Rathi R, Anitha G, Ramesh S, Ramaswamy K (2022) Implementation of combined machine learning with the big data model in IoMT systems for the prediction of network resource consumption and improving the data delivery. Comput Intell Neurosci 2022:1–12CrossRef
Vanitha CN, Malathy S, Dhanaraj RK, Nayyar A (2022) Optimized pollard route deviation and route selection using Bayesian machine learning techniques in wireless sensor networks. Comput Netw 216:109228CrossRef
Metadaten
Titel
Cloud data transmission based on security and improved routing through hybrid machine learning techniques
verfasst von
Shamimul Qamar
Mohd Amaan
Mohammed Inamur Rahman
Ibrahim Aqeel
Mohammed Shuaib
Ibrahim Mohsen Khormi
Shadab Alam
Publikationsdatum
16.05.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-023-08417-0

Premium Partner

    Bildnachweise