A systematic and comprehensive survey of recent advances in intrusion detection systems using machine learning: deep learning, datasets, and attack taxonomy

A Momand, SU Jan, N Ramzan - Journal of Sensors, 2023 - Wiley Online Library
Recently, intrusion detection systems (IDS) have become an essential part of most
organisations' security architecture due to the rise in frequency and severity of network …

The intrusion detection system by deep learning methods: Issues and challenges

O Surakhi, A García, M Jamoos, M Alkhanafseh - 2022 - fada.birzeit.edu
Intrusion Detection Systems (IDS) are one of the major research application problems in the
computer security domain. With the increasing number of advanced network attacks, the …

[HTML][HTML] A New Data-Balancing Approach Based on Generative Adversarial Network for Network Intrusion Detection System

M Jamoos, AM Mora, M AlKhanafseh, O Surakhi - Electronics, 2023 - mdpi.com
An intrusion detection system (IDS) plays a critical role in maintaining network security by
continuously monitoring network traffic and host systems to detect any potential security …

Enhanced Network Intrusion Detection System Using PCGSO-Optimized BI-GRU Model in AI-Driven Cybersecurity

PM Kumar, K Vedantham, J Selvaraj… - 2024 IEEE 3rd …, 2024 - ieeexplore.ieee.org
The detection of complex attacks by Network Intrusion Detection Systems (NIDS) is hindered
by evasion strategies including encrypted traffic and polymorphic malware. Attackers …

Performance Evaluation of Intrusion Detection System Using Machine Learning and Deep Learning Algorithms

MS Hossain, D Ghose, AM Partho… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Now that Internet access is so widely used, our society has a greater number of networked
technologies. Data travels between them because of their daily activities. Due to the server's …

[PDF][PDF] Investigating Recent Advances In Coded Diffraction Patterns using Deep Learning

AA Pise, S Singh, K Hemachandran, S Gadilkar… - Full Length …, 2024 - researchgate.net
With the use of deep learning algorithms, we provide in this work a novel approach, called"
DeepDiffNet," to investigate the most recent advancements in the comprehension of coded …

Efficient malicious packet detection in software defined networks

P Amangele - 2022 - repository.essex.ac.uk
The emergence of software defined networking is proving to be a strong platform for future
networks due to its advantages with regards to management of enterprise networks. One of …

[PDF][PDF] DETECTION OF FALSE DATA INJECTION ATTACKS IN SMART GRIDS

EV Chukwuemeka - 2024 - researchbank.swinburne.edu.au
The smart grid is an electricity network that consists of the traditional power grid and
advanced digital technology that allows bidirectional communication and intelligent transfer …