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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Mahalanobis Distance Map Approach For Anomaly Detection, Aruna Jamdagnil, Zhiyuan Tan, Priyadarsi Nanda, Xiangjian He, Ren Ping Liu
Mahalanobis Distance Map Approach For Anomaly Detection, Aruna Jamdagnil, Zhiyuan Tan, Priyadarsi Nanda, Xiangjian He, Ren Ping Liu
Australian Information Security Management Conference
Web servers and web-based applications are commonly used as attack targets. The main issues are how to prevent unauthorised access and to protect web servers from the attack. Intrusion Detection Systems (IDSs) are widely used security tools to detect cyber-attacks and malicious activities in computer systems and networks. In this paper, we focus on the detection of various web-based attacks using Geometrical Structure Anomaly Detection (GSAD) model and we also propose a novel algorithm for the selection of most discriminating features to improve the computational complexity of payload-based GSAD model. Linear Discriminant method (LDA) is used for the feature reduction …
Anomaly Detection Over User Profiles For Intrusion Detection, Grant Pannell, Helen Ashman
Anomaly Detection Over User Profiles For Intrusion Detection, Grant Pannell, Helen Ashman
Australian Information Security Management Conference
Intrusion detection systems (IDS) have often been used to analyse network traffic to help network administrators quickly identify and respond to intrusions. These detection systems generally operate over the entire network, identifying “anomalies” atypical of the network’s normal collective user activities. We show that anomaly detection could also be host-based so that the normal usage patterns of an individual user could be profiled. This enables the detection of masquerading intruders by comparing a learned user profile against the current session’s profile. A prototype behavioural IDS applies the concept of anomaly detection to user behaviour and compares the effects of using …