Deep learning algorithms for IoT security(survey)

The Internet of Things and applications of Internet of thing (IoT) are becoming popular among various users nowadays, because it makes their life more easy. Because of its spread, attacks that target these various devices have increased dramatically, that may cause the unavailable of entire system....

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Bibliographic Details
Main Authors: Ali, Hiba Hameed, Naif, Jolan Rokan, Humood, Waleed Rasheed
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Cybersecurity
Deep learning
Denial of service attacks
Internet of Things
Machine learning
Online Access:Get full text
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Summary:The Internet of Things and applications of Internet of thing (IoT) are becoming popular among various users nowadays, because it makes their life more easy. Because of its spread, attacks that target these various devices have increased dramatically, that may cause the unavailable of entire system. Some types of these attacks are man in the middle attack, sybil attack, denial of service attack, and replay attack. So, whenever the attacks have increased, solutions of the detection of malware in the internet of thing have also increased. one of the current solutions is a deep learning algorithms, In many research fields, deep learning techniques have demonstrated their capacity to detect anomalies accurately.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0181698