TY  - BOOK
AU  - Yin,Heng
AU  - Song,Dawn
ED  - SpringerLink (Online service)
TI  - Automatic Malware Analysis: An Emulator Based Approach 
T2  - SpringerBriefs in Computer Science,
SN  - 9781461455233
AV  - QA76.9.A25 
U1  - 005.8 23
PY  - 2013///
CY  - New York, NY
PB  - Springer New York, Imprint: Springer
KW  - Computer science
KW  - Computer security
KW  - Data structures (Computer science)
KW  - Data encryption (Computer science)
KW  - Computers
KW  - Computer Science
KW  - Systems and Data Security
KW  - Data Encryption
KW  - Data Structures, Cryptology and Information Theory
KW  - Information Systems and Communication Service
KW  - Information Systems Applications (incl. Internet)
N1  - Introduction -- Dynamic Binary Analysis Platform -- Hidden Code Extraction -- Privacy-breaching Behavior Analysis -- Hooking Behavior Analysis -- Analysis of Trigger Conditions and Hidden Behaviors -- Concluding Remarks
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4614-5523-3
ER  -