[HTML][HTML] A deep learning-based novel hybrid CNN-LSTM architecture for efficient detection of threats in the IoT ecosystem

A Nazir, J He, N Zhu, SS Qureshi, SU Qureshi… - Ain Shams Engineering …, 2024 - Elsevier
Abstract The Internet of Things (IoT) landscape is witnessing rapid growth, driven by
continuous innovation and a simultaneous increase in cybersecurity threats. As these …

Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems

A Gueriani, H Kheddar… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Protecting Internet of things (IoT) devices against cyber attacks is imperative owing to
inherent security vulnerabilities. These vulnerabilities can include a spectrum of …

Towards SDN-enabled, intelligent intrusion detection system for internet of things (IoT)

MSA Muthanna, R Alkanhel, A Muthanna, A Rafiq… - IEEE …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has established itself as a multibillion-dollar business in recent
years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and …

A novel intrusion detection framework for optimizing IoT security

A Qaddos, MU Yaseen, AS Al-Shamayleh, M Imran… - Scientific Reports, 2024 - nature.com
The emerging expanding scope of the Internet of Things (IoT) necessitates robust intrusion
detection systems (IDS) to mitigate security risks effectively. However, existing approaches …

Deep AI-powered cyber threat analysis in IIoT

I Bibi, A Akhunzada, N Kumar - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Distributed Industrial Internet of Things (IIoT) has entirely revolutionized the industrial sector
that varies from autonomous industrial processes to automation of processes without human …

DeepLG SecNet: Utilizing deep LSTM and GRU with secure network for enhanced intrusion detection in IoT environments

M Nanjappan, K Pradeep, G Natesan, A Samydurai… - Cluster …, 2024 - Springer
The rapid proliferation of the Internet of Things (IoT) has led to a significant surge in
interconnected devices across diverse domains, ranging from smart homes and healthcare …

A long short-term memory based approach for detecting cyber attacks in IoT using CIC-IoT2023 dataset

AI Jony, AKB Arnob - Journal of Edge Computing, 2024 - acnsci.org
The growth of Internet of Things (IoT) gadgets has ushered in a new era of connectedness
and convenience, but it has also sparked worries about security flaws. Long Short-Term …

A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey

A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System

SA Bakhsh, MA Khan, F Ahmed, MS Alshehri, H Ali… - Internet of Things, 2023 - Elsevier
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …

Ensemble-Based Deep Learning Models for Enhancing IoT Intrusion Detection

A Odeh, A Abu Taleb - Applied Sciences, 2023 - mdpi.com
Cybersecurity finds widespread applications across diverse domains, encompassing
intelligent industrial systems, residential environments, personal gadgets, and automobiles …