2022
DOI: 10.1155/2022/4016073
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Deep Learning for Intrusion Detection and Security of Internet of Things (IoT): Current Analysis, Challenges, and Possible Solutions

Abstract: In the last decade, huge growth is recorded globally in computer networks and Internet of Things (IoT) networks due to the exponential data generation, approximately zettabyte to a petabyte. Consequently, security issues have also been arisen with the network growth. However, intrusion detection in such big data is challenging. Smart homes, cities, grids, devices, objects, e-commerce, e-banking, e-government, etc., are different advanced applications of the evolving networks. Many Intrusion Detection Systems (… Show more

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Cited by 53 publications
(16 citation statements)
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“…Durga et al suggested that a risk compensation mechanism should be established to make users aware of the defects of blockchain technology, and then implement supervision in a controllable scenario [22]. Khan et al believe that the healthy development of digital currency needs to speed up the expansion of digital currency's application scope and improve the financial supervision system on the premise of keeping pace with the development of digital technologies such as blockchain, so as to keep the forward-looking technology such as blockchain [23].…”
Section: Related Workmentioning
confidence: 99%
“…Durga et al suggested that a risk compensation mechanism should be established to make users aware of the defects of blockchain technology, and then implement supervision in a controllable scenario [22]. Khan et al believe that the healthy development of digital currency needs to speed up the expansion of digital currency's application scope and improve the financial supervision system on the premise of keeping pace with the development of digital technologies such as blockchain, so as to keep the forward-looking technology such as blockchain [23].…”
Section: Related Workmentioning
confidence: 99%
“…Due to its fuzzy nature, it was able to successfully smooth the boundary between regular and IoT-BotNet traffic, and it was able to create the appropriate IDS warning in the case that the knowledge-based representation failed. Intrusion Detection Systems (IDS) are widely used to handle abnormal traffic and block illegal access to an IoT device [11,12]. For instance, in [13], the authors proposed a three-layer IDS that detects a variety of prominent network-based cyber-attacks on IoT networks using a supervised method.…”
Section: Related Workmentioning
confidence: 99%
“… Recently, the IDS in the Internet of Things (IoT) have been reviewed, and some solutions are suggested to overcome the issues [14].…”
Section: Introductionmentioning
confidence: 99%