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The detection of security-related events using machine learning approaches has been extensively investigated. In particular, machine learning applied to network intrusion detection systems (NIDS) has attracted a lot of attention due to its good generalization and unknown attack detection capabilities. A number of classification techniques have been used for this purpose, revealing good generalization...
Anomaly-based intrusion detection systems (IDS) have the ability of detecting previously unknown attacks, which is important since new vulnerabilities and attacks are constantly appearing. Software as a service web applications are currently much targeted by attacks, so they are an obvious application for such IDSs. The paper presents a study of the use of anomaly-based IDSs with data from a production...
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