Divided into two major parts, Enhancing Computer Security with Smart Technology introduces the problems of computer security to researchers with a machine learning background, then introduces machine learning concepts to computer security professionals.
Realizing the massive scope of these subjects, the author concentrates on problems related to the detection of intrusions through the application of machine learning methods and on the practical algorithmic aspects of machine learning and its role in security.
A collection of tutorials that draw from a broad spectrum of viewpoints and experience, this volume is made up of chapters written by specialists in each subject field. It is accessible to any professional with a basic background in computer science. Following an introduction to the issue of cyber-security and cyber-trust, the book offers a broad survey of the state-of-the-art in firewall technology and of the importance of Web application security. The remainder of the book focuses on the use of machine learning methods and tools and their performance.
Cyber-security and cyber-trust. Network firewalls. Web application security: the next battleground. Relevance of machine learning. Machine learning in intrusion detection. Cyber-security challenges: Designing efficient intrusion detection systems and anti-virus tools. Artificial immune systems in intrusion detection. Application of wavelets in network security. Application of exploratory multivariate analysis for network security.