Internet of things (IoT) security dataset evolution: Challenges and future directions

B Kaur, S Dadkhah, F Shoeleh, ECP Neto, P **ong… - Internet of Things, 2023 - Elsevier
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …

Zero-day attack detection: a systematic literature review

R Ahmad, I Alsmadi, W Alhamdani… - Artificial Intelligence …, 2023 - Springer
With the continuous increase in cyberattacks over the past few decades, the quest to
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …

A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions

S Arisdakessian, OA Wahab, A Mourad… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In the past several years, the world has witnessed an acute surge in the production and
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …

Machine learning enabled techniques for protecting wireless sensor networks by estimating attack prevalence and device deployment strategy for 5G networks

P Kumar, A Baliyan, KR Prasad… - Wireless …, 2022 - Wiley Online Library
A number of disadvantages of traditional networks may be attributed to the close relationship
that exists between the control plane and the data plane inside proprietary hardware …

Machine learning approaches for combating distributed denial of service attacks in modern networking environments

A Aljuhani - IEEE Access, 2021 - ieeexplore.ieee.org
A distributed denial of service (DDoS) attack represents a major threat to service providers.
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …

[HTML][HTML] A hybrid deep learning-driven SDN enabled mechanism for secure communication in Internet of Things (IoT)

D Javeed, T Gao, MT Khan, I Ahmad - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) has emerged as a new technological world connecting billions of
devices. Despite providing several benefits, the heterogeneous nature and the extensive …

[PDF][PDF] DDoS attack intrusion detection system based on hybridization of CNN and LSTM

ASA Issa, Z Albayrak - Acta Polytechnica Hungarica, 2023 - epa.niif.hu
A distributed denial-of-service (DDoS) attack is one of the most pernicious threats to network
security. DDoS attacks are considered one of the most common attacks among all network …

A comprehensive deep learning benchmark for IoT IDS

R Ahmad, I Alsmadi, W Alhamdani, L Tawalbeh - Computers & Security, 2022 - Elsevier
The significance of an intrusion detection system (IDS) in networks security cannot be
overstated in detecting and responding to malicious attacks. Failure to detect large-scale …

[HTML][HTML] Refined LSTM based intrusion detection for denial-of-service attack in Internet of Things

KO Adefemi Alimi, K Ouahada… - Journal of sensor and …, 2022 - mdpi.com
The Internet of Things (IoT) is a promising technology that allows numerous devices to be
connected for ease of communication. The heterogeneity and ubiquity of the various …

[HTML][HTML] Robust DDoS attack detection using piecewise Harris hawks optimizer with deep learning for a secure internet of things environment

M Ragab, S M. Alshammari, LA Maghrabi, D Alsalman… - Mathematics, 2023 - mdpi.com
The Internet of Things (IoT) refers to the network of interconnected physical devices that are
embedded with software, sensors, etc., allowing them to exchange and collect information …