Abstract: The Internet and computer networks are exposed to an increasing number of security threats. With new types of attacks appearing continually, developing flexible and adaptive security oriented approaches is a severe challenge. In this context, anomaly-based network intrusion detection techniques are a valuable technology to protect target systems and networks against malicious activities. However, despite the variety of such methods described in the literature in recent years, security tools incorporating anomaly detection functionalities are just starting to appear, and several important problems remain to be solved. This paper explored the back ground, taxonomy and review of benchmarking anomaly based intrusion detection. Further the paper is concluded possible research issues, challenges and constraints in anomaly-based intrusion detection.
Keywords: Network security, Threat, Intrusion detection, Anomaly detection, High-speed Networks, Flow-Based Intrusion Detection, Legal Inspection
| DOI: 10.17148/IARJSET.2022.91203