[HTML][HTML] Machine learning and deep learning methods for intrusion detection systems: A survey

H Liu, B Lang - applied sciences, 2019 - mdpi.com
Networks play important roles in modern life, and cyber security has become a vital research
area. An intrusion detection system (IDS) which is an important cyber security technique …

[HTML][HTML] A survey of CNN-based network intrusion detection

L Mohammadpour, TC Ling, CS Liew, A Aryanfar - Applied Sciences, 2022 - mdpi.com
Over the past few years, Internet applications have become more advanced and widely
used. This has increased the need for Internet networks to be secured. Intrusion detection …

[HTML][HTML] A hybrid intrusion detection model using ega-pso and improved random forest method

AK Balyan, S Ahuja, UK Lilhore, SK Sharma… - Sensors, 2022 - mdpi.com
Due to the rapid growth in IT technology, digital data have increased availability, creating
novel security threats that need immediate attention. An intrusion detection system (IDS) is …

A hybrid intrusion detection system based on sparse autoencoder and deep neural network

KN Rao, KV Rao, PR PVGD - Computer Communications, 2021 - Elsevier
A large number of attacks are launched daily in the era of the internet and with a large
number of users. Nowadays, effective detection of numerous attacks using the Intrusion …

A comprehensive survey of databases and deep learning methods for cybersecurity and intrusion detection systems

D Gümüşbaş, T Yıldırım, A Genovese… - IEEE Systems …, 2020 - ieeexplore.ieee.org
This survey presents a comprehensive overview of machine learning methods for
cybersecurity intrusion detection systems, with a specific focus on recent approaches based …

A deep learning approach for effective intrusion detection in wireless networks using CNN

B Riyaz, S Ganapathy - Soft Computing, 2020 - Springer
Security is playing a major role in this Internet world due to the rapid growth of Internet users.
The various intrusion detection systems were developed by many researchers in the past to …

[HTML][HTML] Advancing network security with AI: SVM-based deep learning for intrusion detection

KM Abuali, L Nissirat, A Al-Samawi - Sensors, 2023 - mdpi.com
With the rapid growth of social media networks and internet accessibility, most businesses
are becoming vulnerable to a wide range of threats and attacks. Thus, intrusion detection …

An intrusion detection system using optimized deep neural network architecture

M Ramaiah, V Chandrasekaran… - Transactions on …, 2021 - Wiley Online Library
Internet usage became increasingly ubiquitous. The concern regarding security and privacy
has become essential for Internet users. As the usage of the Internet increases the number …

Effective network intrusion detection by addressing class imbalance with deep neural networks multimedia tools and applications

M Rani, Gagandeep - Multimedia Tools and Applications, 2022 - Springer
Abstract The Intrusion Detection System plays a significant role in discovering malicious
activities and provides better network security solutions than other conventional defense …

Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study

M Catillo, A Del Vecchio, A Pecchia, U Villano - Software Quality Journal, 2022 - Springer
Intrusion detection is a primary concern in any modern computer system due to the ever-
growing number of intrusions. Machine learning represents an effective solution to detect …