Investigating Use of Kinds of Deep Learning Methods in Internet of Things Networks Security

Message:
Article Type:
Review Article (دارای رتبه معتبر)
Abstract:

The development of smart devices in many aspects of our daily lives is accompanied by the increasing use of appropriate mechanisms to counter them against various attacks and applications in the Internet of Things environment. In this context, it is emerging as one of the most successful and suitable techniques for use in various aspects of IoT security. The aim of this is to systematically review and analyze research studies on research eyes conducted in different Internet of Things security scenarios. The reviewed researches are classified according to different perspectives in a coherent and structured classification to identify the gap in this research area. This research has been published on articles related to the keywords "concept learning", "security" and "Internet of Things" in the four main databases IEEEXplore, ScienceDirect, SpringerLink, and ACM Digital Library. In the end, 90 articles have been selected and reviewed. These studies are conducted according to three main research questions, i.e. the security aspects involved, the network architectures used, and the datasets used in IoT security. The final discussion explores the research gaps and acknowledges the outstanding flaws and vulnerabilities in the IoT security scenario.

Language:
Persian
Published:
Journal of Technovations of Electrical Engineering in Green Energy System, Volume:4 Issue: 2, 2024
Pages:
35 to 66
https://www.magiran.com/p2799159  
سامانه نویسندگان
  • Soltanaghaei، Mohammad Reza
    Corresponding Author (2)
    Soltanaghaei, Mohammad Reza
    (1391) دکتری مهندسی کامپیوتر، دانشگاه آزاد اسلامی واحد اصفهان (خوراسگان)
  • Esmaeili، Mahdi
    Author (3)
    Esmaeili, Mahdi
    (1403) دکتری تولید و عملیات، دانشگاه علامه طباطبائی
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