[HTML][HTML] Res-TranBiLSTM: An intelligent approach for intrusion detection in the Internet of Things
S Wang, W Xu, Y Liu - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT), as the information carrier of the Internet and
telecommunications networks, is a new network technology comprising physical entities …
telecommunications networks, is a new network technology comprising physical entities …
An intrusion detection system for edge-envisioned smart agriculture in extreme environment
The deployment of Internet of Things (IoT) systems in Smart Agriculture (SA) operates in
extreme environments including wind, snowfall, flooding, landscape, and so on for collecting …
extreme environments including wind, snowfall, flooding, landscape, and so on for collecting …
Breaking alert fatigue: Ai-assisted siem framework for effective incident response
Contemporary security information and event management (SIEM) solutions struggle to
identify critical security incidents effectively due to the overwhelming number of false alerts …
identify critical security incidents effectively due to the overwhelming number of false alerts …
Enhanced Active Eavesdroppers Detection System for Multi-hop WSNs in Tactical IoT Applications
M Abedini, I Al-Anbagi - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In tactical Internet of Things (IoT) applications, the broadcast nature of wireless sensor
networks (WSNs) makes it easy to eavesdrop on their traffic. Furthermore, adversaries can …
networks (WSNs) makes it easy to eavesdrop on their traffic. Furthermore, adversaries can …
Deep Learning for IoT Security: Applications and Challenges
The term internet of things (IoT) denotes the advanced phase of the internet, wherein a
worldwide communication infrastructure is established between individuals and machines …
worldwide communication infrastructure is established between individuals and machines …
MAC protocol based IoT network intrusion detection using improved efficient shuffle bidirectional COOT channel attention network
NKS Nayak, B Bhattacharyya - IEEE Access, 2023 - ieeexplore.ieee.org
The IoT networks are customized to work under various smart environments, utilizing diverse
sensors. However, they are vulnerable to several cyberattacks because of their finite …
sensors. However, they are vulnerable to several cyberattacks because of their finite …
An application of the khumbelo function on the camellia algorithm to prevent attacks in iot devices
KD Muthavhine, M Sumbwanyambe - IEEE Access, 2023 - ieeexplore.ieee.org
Camellia is an encryption algorithm implemented in many Internet of Things (IoT) devices.
However, intruders attack the Camellia cipher using Substitution Box (S-Box) distinguishers …
However, intruders attack the Camellia cipher using Substitution Box (S-Box) distinguishers …
Intrusion Detection System for Wireless Sensor Networks: A Machine Learning based Approach
In this era, plenty of wireless devices are being used with the support of WI-FI (Wireless
Fidelity) and need to be maintained and authorized. Wireless Sensor Networks (WSN), a …
Fidelity) and need to be maintained and authorized. Wireless Sensor Networks (WSN), a …
Deep Learning-Based Network Intrusion Detection Systems: A Systematic Literature Review
Abstract Machine Learning algorithms have been used to develop models in different fields
like banking, healthcare, transportation, cybersecurity, and others. Many studies have shown …
like banking, healthcare, transportation, cybersecurity, and others. Many studies have shown …
[HTML][HTML] A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems
M Samantaray, RC Barik, AK Biswal - Decision Analytics Journal, 2024 - Elsevier
The rapid increase in online risks is a reflection of the exponential growth of Internet of
Things (IoT) networks. Researchers have proposed numerous intrusion detection …
Things (IoT) networks. Researchers have proposed numerous intrusion detection …