Guest Editors
Dr. Iftikhar Ahmad, Professor of computer science department at Mohi ud Din Islamic University, Pakistan.
Dr. Aneel Rahim, Lecturer at school of computing, Dublin Institute of Technology, Dublin, Ireland.
Dr. Mohsin Iftikhar, Lecturer in Computing at Charles Sturt University, Australia.
Summary
Nowadays Computer and Network systems are facing many security issues, one of which considered important is an intrusion. To prevent such intrusion, a mechanism for optimal intrusion detection is deemed necessary. A number of tools and techniques are available, yet most of them still face a main problem that is on performance. The performance of intrusion detection can be enhanced using soft computing techniques based on their proven effectiveness in various applications, such as pattern detection, data segmentation, data mining, adaptive control, and image processing. Based on their effectiveness, recently, soft computing techniques are widely used in intrusion detection such as feature transformation, feature extraction, feature selection, classification, and optimization. This special issue aims to bring together research work in the area of intrusion detection using soft computing techniques, investigate the novel solutions, and discuss the future trends in this field.
Warm reminder: Please select Special Issue: Soft Computing in Intrusion Detection when you submit your article in IASC submission system
Keywords
• Intrusion Detection System
• Security Attacks
• Benchmark datasets for intrusion detection
• Classification of attacks
• Feature Selection in intrusion detection and security countermeasures
Published Papers
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