Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review

M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …

Internet of Things intrusion detection systems: a comprehensive review and future directions

A Heidari, MA Jabraeil Jamali - Cluster Computing, 2023 - Springer
Abstract The Internet of Things (IoT) is a paradigm that connects objects to the Internet as a
whole and enables them to work together to achieve common objectives, such as innovative …

Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey

PLS Jayalaxmi, R Saha, G Kumar, M Conti… - IEEE Access, 2022 - ieeexplore.ieee.org
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …

[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

IoT Security Based on Machine Learning

RK Vanakamamidi, L Ramalingam… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
The protection of user privacy and mitigation of threats like spoofing, DoS, jamming, and
eavesdropping are essential for the Internets of Things (IoT) to fulfill its promise of bringing …

Hybrid chain: Blockchain enabled framework for bi-level intrusion detection and graph-based mitigation for security provisioning in edge assisted IoT environment

AAM Sharadqh, HAM Hatamleh, SS Saloum… - IEEE …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging technology and its applications are flattering amidst
many users, as it makes everything easier. As a consequence of its massive growth, security …

A hybrid deep learning model with self-improved optimization algorithm for detection of security attacks in IoT environment

A Sagu, NS Gill, P Gulia, JM Chatterjee, I Priyadarshini - Future Internet, 2022 - mdpi.com
With the growth of the Internet of Things (IoT), security attacks are also rising gradually.
Numerous centralized mechanisms have been introduced in the recent past for the detection …

Hybrid intrusion detection system for wireless IoT networks using deep learning algorithm

J Simon, N Kapileswar, PK Polasi… - Computers and Electrical …, 2022 - Elsevier
The intense growth of wireless communication and the digital revolution have increased the
utilization of Internet of Things (IoT) applications. The number of internet users increase …

Discover botnets in IoT sensor networks: A lightweight deep learning framework with hybrid self-organizing maps

S Khan, AB Mailewa - Microprocessors and Microsystems, 2023 - Elsevier
In recent years, we have witnessed a massive growth of intrusion attacks targeted at Internet
of things (IoT) devices. Due to inherent security vulnerabilities, it has become an easy target …

The possibility of combining and implementing deep neural network compression methods

B Predić, U Vukić, M Saračević, D Karabašević… - Axioms, 2022 - mdpi.com
In the paper, the possibility of combining deep neural network (DNN) model compression
methods to achieve better compression results was considered. To compare the advantages …