TY - GEN
T1 - Malware profiler based on innovative behavior-awareness technique
AU - Dai, Shih Yao
AU - Fyodor, Yarochkin
AU - Kuo, Sy Yen
AU - Wu, Ming Wei
AU - Huang, Yennun
PY - 2011
Y1 - 2011
N2 - In order to steal valuable data, hackers are uninterrupted research and development new techniques to intrude computer systems. Opposite to hackers, security researchers are uninterrupted analysis and tracking new malicious techniques for protecting sensitive data. There are a lot of existing analyzers can be used to help security researchers to analyze and track new malicious techniques. However, these existing analyzers cannot provide sufficient information to security researchers to perform precise assessment and deep analysis. In this paper, we introduce a behavior-based malicious software profiler, named Holography platform, to assist security researchers to obtain sufficient information. Holography platform analyzes virtualization hardware data, including CPU instructions, CPU registers, memory data and disk data, to obtain high level behavior semantic of all running processes. High level behavior semantic can provide sufficient information to security researchers to perform precise assessment and deep analysis new malicious techniques, such as malicious advertisement attack(malvertising attack).
AB - In order to steal valuable data, hackers are uninterrupted research and development new techniques to intrude computer systems. Opposite to hackers, security researchers are uninterrupted analysis and tracking new malicious techniques for protecting sensitive data. There are a lot of existing analyzers can be used to help security researchers to analyze and track new malicious techniques. However, these existing analyzers cannot provide sufficient information to security researchers to perform precise assessment and deep analysis. In this paper, we introduce a behavior-based malicious software profiler, named Holography platform, to assist security researchers to obtain sufficient information. Holography platform analyzes virtualization hardware data, including CPU instructions, CPU registers, memory data and disk data, to obtain high level behavior semantic of all running processes. High level behavior semantic can provide sufficient information to security researchers to perform precise assessment and deep analysis new malicious techniques, such as malicious advertisement attack(malvertising attack).
KW - complete resource topology
KW - dynamic analysis
KW - malvertising
KW - malware
KW - virtual machine
UR - https://www.scopus.com/pages/publications/84863241555
U2 - 10.1109/PRDC.2011.53
DO - 10.1109/PRDC.2011.53
M3 - 会议稿件
AN - SCOPUS:84863241555
SN - 9780769545905
T3 - Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
SP - 314
EP - 319
BT - Proceedings - 2011 17th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2011
T2 - 17th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2011
Y2 - 12 December 2011 through 14 December 2011
ER -