Malware Detection
Shared resources, such as the Internet, have created a highly interconnected cyber-infrastructure. Many malicious attacks on critical infrastructures are achieved by malicious code or malware, such as viruses and worms. This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.
ISBN: | 9780387327204 |
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Sprache: | Englisch |
Seitenzahl: | 312 |
Produktart: | Gebunden |
Herausgeber: | Christodorescu, Mihai Jha, Somesh Maughan, Douglas Song, Dawn Wang, Cliff |
Verlag: | Springer US |
Veröffentlicht: | 31.10.2006 |
Schlagworte: | Binary software analysis Cooperative detection Detection Information Malware Obfuscated and stealthy malware SQL Security Software Integrity and Assurance Trustworthy systems |