[HTML][HTML] Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection …
Abstract Intrusion Detection Systems (IDS) have become pivotal in safeguarding information
systems against evolving threats. Concurrently, Concept Drift presents a significant …
systems against evolving threats. Concurrently, Concept Drift presents a significant …
Investigation on datasets toward intelligent intrusion detection systems for Intra and inter-UAVs communication systems
AB Mohammed, LC Fourati - Computers & Security, 2024 - Elsevier
UAVs, commonly known as drones, are increasingly utilized in various fields such as military
operations, surveillance, agriculture, and delivery services. Given their expanding roles …
operations, surveillance, agriculture, and delivery services. Given their expanding roles …
A Network Intrusion Detection Model Based on BiLSTM with Multi-Head Attention Mechanism
J Zhang, X Zhang, Z Liu, F Fu, Y Jiao, F Xu - Electronics, 2023 - mdpi.com
A network intrusion detection tool can identify and detect potential malicious activities or
attacks by monitoring network traffic and system logs. The data within intrusion detection …
attacks by monitoring network traffic and system logs. The data within intrusion detection …
A Hybrid Modified Deep Learning Architecture for Intrusion Detection System with Optimal Feature Selection
N Kumar, S Sharma - Electronics, 2023 - mdpi.com
With the exponentially evolving trends in technology, IoT networks are vulnerable to serious
security issues, allowing intruders to break into networks without authorization and …
security issues, allowing intruders to break into networks without authorization and …
[HTML][HTML] Network-Based Intrusion Detection for Industrial and Robotics Systems: A Comprehensive Survey
In the face of rapidly evolving cyber threats, network-based intrusion detection systems
(NIDS) have become critical to the security of industrial and robotic systems. This survey …
(NIDS) have become critical to the security of industrial and robotic systems. This survey …
Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security
IS NA, A Haldorai, N Naik - IEEE Access, 2024 - ieeexplore.ieee.org
In order to stay current with technology, in-vehicle communication has been enhanced daily.
Control area network (CAN) is widely adopted due to the exceptional efficiency and …
Control area network (CAN) is widely adopted due to the exceptional efficiency and …
Advancing healthcare 5.0 through federated learning: Opportunity for security enforcement using blockchain
As Healthcare 5.0 becomes more widely accepted, the healthcare industry in general is
changing, leading to better patient care and more system efficiency. The degree of digital …
changing, leading to better patient care and more system efficiency. The degree of digital …
A distributed and cooperative signature-based intrusion detection system framework for multi-channel man-in-the-middle attacks against protected Wi-Fi networks
Abstract A Multi-Channel Man-in-the-Middle (MC-MitM) attack is an advanced form of MitM
attack, characterized by its ability to manipulate encrypted wireless communications …
attack, characterized by its ability to manipulate encrypted wireless communications …
Deep Learning Algorithms Used in Intrusion Detection Systems--A Review
R Kimanzi, P Kimanga, D Cherori… - arXiv preprint arXiv …, 2024 - arxiv.org
The increase in network attacks has necessitated the development of robust and efficient
intrusion detection systems (IDS) capable of identifying malicious activities in real-time. In …
intrusion detection systems (IDS) capable of identifying malicious activities in real-time. In …
Optimizing Intrusion Detection Systems in Three Phases on the CSE-CIC-IDS-2018 Dataset
This article examines intrusion detection systems in depth using the CSE-CIC-IDS-2018
dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory …
dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory …