Machine Learning for Application-Layer Intrusion Detection

Machine Learning for Application-Layer Intrusion Detection

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This book is concerned with the automatic detection of unknown attacks in network communication. Based on concepts of machine learning, a framework for self-learning intrusion detection is proposed which enables accurate and efficient identification of attacks in the application layer of network communication. The book is a doctoral thesis and targets researchers and postgraduate students in the area of computer security and machine learning.To withstand the increasing threat of network attacks, security systems need to counteract novel attacks as early as possible. Signature-based detection as employed in current security products fails to provide adequate protection, as it relies on the manual generation of signatures and ... In particular, we have presented a machine learning framework which embeds network payloads in vector spacesanbsp;...

Title:Machine Learning for Application-Layer Intrusion Detection
Author: Konrad - 2011-09-21

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