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Malware Detection

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Springer US,
Buch
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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, and it analyzes current trends in malware activity online.

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Hauptbeschreibung

Titel: Malware Detection
Autoren/Herausgeber: Mihai Christodorescu, Somesh Jha, Douglas Maughan, Dawn Song, Cliff Wang (Hrsg.)
Aus der Reihe: Advances in Information Security
Ausgabe: Softcover reprint of hardcover 1st ed. 2007

ISBN/EAN: 9781441940957

Seitenzahl: 312
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 498 g
Sprache: Englisch

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. Many malicious attacks are achieved by malicious code or malware, such as viruses and worms. 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, i.e., the good guys are falling behind in the arms race.
Malware Detection captures the state of the art research in the area of malicious code detection, prevention and mitigation.

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