ENGLISH

Automatic Malware Analysis: An Emulator Based Approach

By Heng Yin , Dawn Song (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2013
ISBN
978-1-4614-5523-3, 1461455235, 978-1-4614-5522-6
DOI
10.1007/978-1-4614-5523-3
Language
english
Format
PDF
Filesize
4 MB (3946412 bytes)
Series
SpringerBriefs in computer science
Edition
1
Pages
73\82
Time added
2014-06-12 06:00:00
Cryptology and Information Theory; Information SysSystems and Data Security; Data Encryption; Data S

Description

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.

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