Supervised Machine Learning Methods for Cyber Threat Detection Using Genetic Algorithm

DK Gasu, W Yaokumah, JK Appati - AI and Its Convergence With …, 2023 - igi-global.com
Security threats continue to pose enormous challenges to network and applications security,
particularly with the emerging IoT technologies and cloud computing services. Current …

A comprehensive intrusion detection framework using boosting algorithms

IF Kilincer, F Ertam, A Sengur - Computers and Electrical Engineering, 2022 - Elsevier
Abstract Intrusion Detection Systems are one of the most effective technologies that protect
systems against cyber-attacks. In this study, a new Comprehensive Cyber Security Intrusion …

Study of Machine Learning Classifiers for Intrusion Detection System

A Mishra, A Thakur - … Engineering and Applications: Select Proceedings of …, 2022 - Springer
Intrusion detection systems are an important part of our network security system.
Furthermore, with the development in technologies, new attacks have been developed and …

Improving the performance of intrusion detection system through finding the most effective features

A Al-Bakaa, B Al-Musawi - 2021 International Congress of …, 2021 - ieeexplore.ieee.org
In recent years, we witnessed the ensuing surge in massive numbers and types of attacks.
The future years will continue these trends but at a faster pace as a result of increasing the …

Artificial Neural Network-based Intrusion Detection in Cloud Computing using CSE-CIC-IDS2018 Datasets

M Khan, M Haroon - 2023 3rd Asian Conference on Innovation …, 2023 - ieeexplore.ieee.org
Securing digital information is vital for several applications. However, attackers are attacking
digital information in numerous ways. Traditional methods still uncover several types of …

Machine Learning Methods for Enhanced Cyber Security Intrusion Detection System

M Satheesh Kumar, J Ben-Othman… - Advances in Computing …, 2022 - Springer
In the ever-changing world of information security, networks had expanded in scale and
complexity that integrates wide range of business functions, intrusion threats have increased …

Analysis of Intrusion Detection Systems: Techniques, Datasets and Research Opportunity

CT Dhumal, DSV Pingale - Datasets and Research Opportunity …, 2024 - papers.ssrn.com
In the year of 2022, all over glob 42% cyber-attacks are increased as compared to the
previous year 2021. Due to this growing number of cyber-attacks, there is necessary to …

[PDF][PDF] Intrusion detection in the Internet of Things using fusion of GRU-LSTM deep learning model

MS Al-kahtani, Z Mehmood, T Sadad… - … Automation & Soft …, 2023 - researchgate.net
Cybersecurity threats are increasing rapidly as hackers use advanced techniques. As a
result, cybersecurity has now a significant factor in protecting organizational limits. Intrusion …

A Brief Analysis on Machine Learning Classifiers for Intrusion Detection to Enhance Network Security

S Mande, N Ramachandran, CK Kumar… - 2022 International …, 2022 - ieeexplore.ieee.org
Network-based applications present new threats and necessitate new security measures,
which necessitate greater attention to speed and accuracy. The rapid expansion of …

Implementation of intrusion detection system using various machine learning approaches with ensemble learning

PV Pandit, S Bhushan, PV Waje - … International Conference on …, 2023 - ieeexplore.ieee.org
recent years have seen an increase in advanced threat attacks, yet feature filtering-based
network intrusion detection systems have a number of shortcomings that make it challenging …