An optimized gradient boost decision tree using enhanced African buffalo optimization method for cyber security intrusion detection

S Mishra - Applied Sciences, 2022 - mdpi.com
The cyber security field has witnessed several intrusion detection systems (IDSs) that are
critical to the detection of malicious activities in network traffic. In the last couple of years …

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 …

Hybrid optimization and deep learning based intrusion detection system

SK Gupta, M Tripathi, J Grover - Computers and Electrical Engineering, 2022 - Elsevier
Abstract Today, Smart City projects and their initiatives are continuously developing with the
vast deployment of the Internet of Things (IoT) devices. Smart cities efficiently manage …

Optimizing a new intrusion detection system using ensemble methods and deep neural network

A Rai - 2020 4th International Conference on Trends in …, 2020 - ieeexplore.ieee.org
In the previous, not many years, digital assaults have become a significant issue in
cybersecurity. Researchers are taking a shot at the intrusion detection framework from the …

[PDF][PDF] Improved intrusion detection algorithm based on TLBO and GA algorithms.

M Al-Janabi, MA Ismail - Int. Arab J. Inf. Technol., 2021 - ccis2k.org
Optimization algorithms are widely used for the identification of intrusion. This is attributable
to the increasing number of audit data features and the decreasing performance of human …

Optimization of intrusion detection using likely point PSO and enhanced LSTM-RNN hybrid technique in communication networks

AAEB Donkol, AG Hafez, AI Hussein… - IEEE Access, 2023 - ieeexplore.ieee.org
The intrusion detection system (IDS) is considered an essential sector in maintaining
communication network security and has been desirably adopted by all network …

Intrusion detection using hybridized meta-heuristic techniques with Weighted XGBoost Classifier

G Mohiuddin, Z Lin, J Zheng, J Wu, W Li, Y Fang… - Expert Systems with …, 2023 - Elsevier
Due to the widespread global internet services, service providers and users face a primary
problem defending their systems, specifically from a new category of attacks and breaches …

Hybrid intrusion detection using mapreduce based black widow optimized convolutional long short-term memory neural networks

PR Kanna, P Santhi - Expert Systems with Applications, 2022 - Elsevier
The recent advancements in information and communication technologies have led to an
increasing number of online systems and services. These online systems can utilize …

Deep learning methods applied to intrusion detection: survey, taxonomy and challenges

O Lifandali, N Abghour - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Because of the popularity of the Internet of Things (IoT), the rapid expansion of computer
networks, and the vast number of important applications, cyber security has lately garnered …

Feature selection‐integrated classifier optimisation algorithm for network intrusion detection

H Güney - Concurrency and Computation: Practice and …, 2023 - Wiley Online Library
In the era of technology, information security has gained significant importance, as intruders
constantly conduct attacks to breach information systems. Intelligent network intrusion …