Intelligent feature selection and classification techniques for intrusion detection in networks: a survey

S Ganapathy, K Kulothungan, S Muthurajkumar… - EURASIP Journal on …, 2013 - Springer
Rapid growth in the Internet usage and diverse military applications have led researchers to
think of intelligent systems that can assist the users and applications in getting the services …

Intelligent network intrusion prevention feature collection and classification algorithms

D Selva, B Nagaraj, D Pelusi, R Arunkumar, A Nair - Algorithms, 2021 - mdpi.com
Rapid Internet use growth and applications of diverse military have managed researchers to
develop smart systems to help applications and users achieve the facilities through the …

A hybrid network intrusion detection system using simplified swarm optimization (SSO)

YY Chung, N Wahid - Applied soft computing, 2012 - Elsevier
The network intrusion detection techniques are important to prevent our systems and
networks from malicious behaviors. However, traditional network intrusion prevention such …

Attack classification using feature selection techniques: a comparative study

A Thakkar, R Lohiya - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
The goal of securing a network is to protect the information flowing through the network and
to ensure the security of intellectual as well as sensitive data for the underlying application …

An efficient feature selection based Bayesian and Rough set approach for intrusion detection

M Prasad, S Tripathi, K Dahal - Applied Soft Computing, 2020 - Elsevier
The exponential growth of network size leads to increase attacks and intrusions. Detection of
these attacks from the network has turned into a noteworthy issue of security. An intrusion …

A GA-LR wrapper approach for feature selection in network intrusion detection

C Khammassi, S Krichen - computers & security, 2017 - Elsevier
Intrusions constitute one of the main issues in computer network security. Through malicious
actions, hackers can have unauthorised access that compromises the integrity, the …

[PDF][PDF] Improving intrusion detection system by developing feature selection model based on firefly algorithm and support vector machine

WL Al-Yaseen - IAENG International Journal of Computer Science, 2019 - researchgate.net
The nowadays growing of threads and intrusions on networks make the need for developing
efficient and effective intrusion detection systems a necessity. Powerful solutions of intrusion …

Intrusion detection system using hybrid classifiers with meta-heuristic algorithms for the optimization and feature selection by genetic algorithm

N Kunhare, R Tiwari, J Dhar - Computers and Electrical Engineering, 2022 - Elsevier
An intrusion detection system (IDS) is considered critical for detecting threats, intrusions, and
unauthorized access. IDS monitors massive network traffic that includes irrelevant and …

[PDF][PDF] Intrusion detection using machine learning: A comparison study

SK Biswas - International Journal of pure and applied mathematics, 2018 - academia.edu
With the advancement of internet over years, the number of attacks over internet has also
increased. A powerful Intrusion Detection System (IDS) is required to ensure the security of a …

A wrapper‐based feature selection for improving performance of intrusion detection systems

M Samadi Bonab, A Ghaffari… - International Journal …, 2020 - Wiley Online Library
Along with expansion in using of Internet and computer networks, the privacy, integrity, and
access to digital resources have been faced with permanent risks. Due to the unpredictable …