SpringerBriefs in Computer Science: An Emulator Based Approach

Yin, Heng; Song, Dawn

Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. 

Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.

Details

Published by: Springer

Publication Date: 2012-09-14

Format: Paperback

ISBN-13: 9781461455226

DOI: 10.1007/978-1-4614-5523-3

Dimensions: 235cm x155cm

Pages: 73