Malware Detection
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Beschreibung
Many malicious attacks are achieved by malicious code or malware, such as viruses and worms. Shared resources, such as the Internet, have created a highly interconnected cyber-infrastructure. Critical infrastructures in domains such as medical, power, telecommunications, and finance are highly dependent on information systems. These two factors have exposed our critical infrastructures to malicious attacks and accidental failures. Given the deleterious affects of malware on our cyber infrastructure, identifying malicious programs is an important goal. Unfortunately, malware detectors have not kept pace with the evasion techniques commonly used by hackers--the good guys are falling behind in the arms race.
Malware Detection, based on the Special ARO/DHS Workshop on Malware Detection at Rosslyn, VA, in 2005, captures the state of the art research in the area of malicious code detection, prevention and mitigation.
This edited volume is intended for researchers and developers working on malicious code (malware) detection, prevention and mitigation. In addition it can be used for a senior level undergraduate course, or for a graduate course in the area of computer and software security.
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.
Cutting-edge behavior-based techniques to analyze & detect obfuscated malware Analyzes current trends in malware activity online, including botnets and malicious code for profit Proposes effective models for detection & prevention of attacks using cooperation & collaboration between detectors Introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage Includes supplementary material: sn.pub/extras
Autor*in
Mihai Christodorescu
Themen in »Malware Detection«
Binary software analysis Cooperative detection Detection Information Malware Obfuscated and stealthy malware SQL Security Software Integrity and Assurance Trustworthy systems code communication data structures