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What is Process Anomaly Detection

Handbook of Research on Information Security and Assurance
A method of detecting intrusions on computer systems. The aim is to detect misbehaving processes, as this could be a sign of an intrusions. The detection is based on syscalls (i.e., activities by the processes), and context signals (e.g., CPU load, memory usage, or network activity).
Published in Chapter:
An Immune-Inspired Approach to Anomaly Detection
Jamie Twycross (University of Nottingham, UK)
Copyright: © 2009 |Pages: 13
DOI: 10.4018/978-1-59904-855-0.ch010
Abstract
The immune system provides a rich metaphor for computer security: anomaly detection that works in nature should work for machines. However, early artificial immune system approaches for computer security had only limited success. Arguably, this was due to these artificial systems being based on too simplistic a view of the immune system. We present here a second generation artificial immune system for process anomaly detection. It improves on earlier systems by having different artificial cell types that process information. Following detailed information about how to build such second generation systems, we find that communication between cells types is key to performance. Through realistic testing and validation, we show that second generation artificial immune systems are capable of anomaly detection beyond generic system policies. The chapter concludes with a discussion and outline of the next steps in this exciting area of computer security.
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