Network intrusion detection system based on recursive feature addition and bigram technique

T Hamed, R Dara, SC Kremer - computers & security, 2018 - Elsevier
Network and Internet security is a critical universal issue. The increased rate of cyber
terrorism has put national security under risk. In addition, Internet attacks have caused …

[PDF][PDF] A subset feature elimination mechanism for intrusion detection system

H Nkiama, SZM Said, M Saidu - International Journal of …, 2016 - pdfs.semanticscholar.org
several studies have suggested that by selecting relevant features for intrusion detection
system, it is possible to considerably improve the detection accuracy and performance of the …

Building lightweight intrusion detection system using wrapper-based feature selection mechanisms

Y Li, JL Wang, ZH Tian, TB Lu, C Young - Computers & security, 2009 - Elsevier
Intrusion Detection System (IDS) is an important and necessary component in ensuring
network security and protecting network resources and network infrastructures. How to build …

A feature selection approach to find optimal feature subsets for the network intrusion detection system

SH Kang, KJ Kim - Cluster Computing, 2016 - Springer
The performance of network intrusion detection systems based on machine learning
techniques in terms of accuracy and efficiency largely depends on the selected features …

Performance analysis of intrusion detection systems using a feature selection method on the UNSW-NB15 dataset

SM Kasongo, Y Sun - Journal of Big Data, 2020 - Springer
Computer networks intrusion detection systems (IDSs) and intrusion prevention systems
(IPSs) are critical aspects that contribute to the success of an organization. Over the past …

Mutual information-based feature selection for intrusion detection systems

F Amiri, MMR Yousefi, C Lucas, A Shakery… - Journal of network and …, 2011 - Elsevier
As the network-based technologies become omnipresent, threat detection and prevention
for these systems become increasingly important. One of the effective ways to achieve …

[HTML][HTML] Feature selection for intrusion detection using random forest

MAM Hasan, M Nasser, S Ahmad, KI Molla - Journal of information security, 2016 - scirp.org
An intrusion detection system collects and analyzes information from different areas within a
computer or a network to identify possible security threats that include threats from both …

Firefly algorithm based feature selection for network intrusion detection

B Selvakumar, K Muneeswaran - Computers & Security, 2019 - Elsevier
Network intrusion detection is the process of identifying malicious activity in a network by
analyzing the network traffic behavior. Data mining techniques are widely used in Intrusion …

Feature selection techniques for intrusion detection using non-bio-inspired and bio-inspired optimization algorithms

VR Balasaraswathi, M Sugumaran, Y Hamid - Journal of Communications …, 2017 - Springer
As Internet access widens, IDS (Intrusion Detection System) is becoming a very important
component of network security to prevent unauthorized use and misuse of data. An IDS …

[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 …