A comprehensive survey and taxonomy of the SVM-based intrusion detection systems

M Mohammadi, TA Rashid, SHT Karim… - Journal of Network and …, 2021 - Elsevier
The increasing number of security attacks have inspired researchers to employ various
classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection …

A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things

SVN Santhosh Kumar, M Selvi… - Computational …, 2023 - Wiley Online Library
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …

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 …

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 …

Review on anomaly based network intrusion detection system

R Samrin, D Vasumathi - 2017 international conference on …, 2017 - ieeexplore.ieee.org
In computer system and network, Intrusion detection is an important research area. A lot of
mechanisms are available for detect the network intrusion, but that is not able to identify the …

Improving security using SVM-based anomaly detection: issues and challenges

M Hosseinzadeh, AM Rahmani, B Vo, M Bidaki… - Soft Computing, 2021 - Springer
Security is one of the main requirements of the current computer systems, and recently it
gains much importance as the number and severity of malicious attacks increase …

Multi-objective PSO based feature selection for intrusion detection in IoT based wireless sensor networks

S Subramani, M Selvi - Optik, 2023 - Elsevier
Abstract Internet of Things (IoT) utilization is increasing every day in both industry and other
applications recently. However, the IoT communication is under security threats from …

Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions

W Wang, S Jian, Y Tan, Q Wu, C Huang - Computers & Security, 2022 - Elsevier
Network intrusion detection system is an important cyber defence tool to protect a system
from illegal attacks. Building an effective network intrusion detection system that makes good …

Fuzzy based intrusion detection systems in MANET

EV Balan, MK Priyan, C Gokulnath, GU Devi - Procedia Computer Science, 2015 - Elsevier
Mobile adhoc network (MANET) is an infrastructure less wireless network and self-
organized. During communication mobile adhoc network do not use any proper …

A content recommendation system for effective e-learning using embedded feature selection and fuzzy DT based CNN

L Antony Rosewelt… - Journal of Intelligent & …, 2020 - content.iospress.com
This paper proposes a new content recommendation system which combines the newly
proposed embedded feature selection method and the new Fuzzy Temporal Logic based …