A Survey on Key Agreement and Authentication Protocol for Internet of Things Application

MK Hasan, Z Weichen, N Safie, FRA Ahmed… - IEEE …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) represents a dynamic infrastructure, leveraging sensing and
network communication technology to establish ubiquitous connectivity among people …

Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey

QA Al-Haija, S Altamimi, M AlWadi - Expert Systems with Applications, 2024 - Elsevier
The ever-increasing interconnectedness of our world, fueled by technological
advancements across industries, has made network security a paramount concern. This …

An explainable multi-modal model for advanced cyber-attack detection in industrial control systems

S Bahadoripour, H Karimipour, AN Jahromi, A Islam - Internet of Things, 2024 - Elsevier
Abstract The convergence of Industrial Control Systems (ICS) and intelligent Internet of
Things (IoT) technologies has rendered ICS more vulnerable to a growing range of cyber …

Deep Learning-Assisted Security and Privacy Provisioning in the Internet of Medical Things Systems: A Survey on Recent Advances

R Pakrooh, A Jabbari, C Fung - IEEE Access, 2024 - ieeexplore.ieee.org
Internet of Medical Things (IoMT) are a kind of Internet of Things (IoT) systems which are
used in the healthcare domain. Nowadays, there are an abundance of wearable smart …

Secure AI for 6G Mobile Devices: Deep Learning Optimization Against Side-Channel Attacks

AA Ahmed, MK Hasan, I Memon… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Deep learning-driven side-channel analysis (SCA) is a promising approach to side-channel
analytic profiling. Recent studies have shown that neural networks can successfully attack …

An integrated system of energy generation, storages, and appliances consumption based on machine learning techniques and internet of things

H Meng, S Feng, C Li - Journal of Energy Storage, 2024 - Elsevier
In the swiftly evolving micro-grid landscape, this paper explores the pivotal role of residential
consumers and their active engagement. The primary focus is on revolutionizing customer …

Unveiling anomalies: a survey on XAI-based anomaly detection for IoT

E EREN, F YILDIRIM OKAY… - Turkish Journal of …, 2024 - journals.tubitak.gov.tr
In recent years, the rapid growth of the Internet of Things (IoT) has raised concerns about the
security and reliability of IoT systems. Anomaly detection is vital for recognizing potential …

Demystifying IoT Network Intrusion Detection: Assessing ML Algorithms with the Aid of Explainable AI

T Zaima, T Ibnat Ena, T Ikbal… - … of Computing and …, 2024 - journal.uob.edu.bh
Intrusion Detection Systems (IDSs) are pivotal for network security; while machine learning
based IDSs surpass traditional models in effectiveness, their growing complexity poses …

An Explainable Deep Learning Intrusion Detection in IoT-Enabled Transportation Networks

A Barthwal, S Raheja - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Cities are becoming sophisticated ecosystems that increase production and efficiency
because to a notable increase in the Internet of Things (IoT). These technological …

Two-Step Data Clustering for Improved Intrusion Detection System Using Ciciot2023 Dataset

HQ Gheni, WL Al-Yaseen - Available at SSRN 4762201 - papers.ssrn.com
The issue of network security is an important and delicate issue when it comes to the privacy
of organizations and individuals, especially when important and sensitive information is …