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» A semantics-based approach to malware detection
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DIMVA
2010
14 years 11 months ago
HookScout: Proactive Binary-Centric Hook Detection
Abstract. In order to obtain and maintain control, kernel malware usually makes persistent control flow modifications (i.e., installing hooks). To avoid detection, malware develope...
Heng Yin, Pongsin Poosankam, Steve Hanna, Dawn Xia...
ESORICS
2011
Springer
13 years 9 months ago
Who Wrote This Code? Identifying the Authors of Program Binaries
Program authorship attribution—identifying a programmer based on stylistic characteristics of code—has practical implications for detecting software theft, digital forensics, a...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller
SOCIALCOM
2010
14 years 4 months ago
A Multi-factor Approach to Securing Software on Client Computing Platforms
Protecting the integrity of software platforms, especially in unmanaged consumer computing systems is a difficult problem. Attackers may attempt to execute buffer overflow attacks ...
Raghunathan Srinivasan, Vivek Iyer, Amit Kanitkar,...
RAID
2010
Springer
14 years 8 months ago
Kernel Malware Analysis with Un-tampered and Temporal Views of Dynamic Kernel Memory
Dynamic kernel memory has been a popular target of recent kernel malware due to the difficulty of determining the status of volatile dynamic kernel objects. Some existing approach...
Junghwan Rhee, Ryan Riley, Dongyan Xu, Xuxian Jian...
RAID
2010
Springer
14 years 7 months ago
BotSwindler: Tamper Resistant Injection of Believable Decoys in VM-Based Hosts for Crimeware Detection
We introduce BotSwindler, a bait injection system designed to delude and detect crimeware by forcing it to reveal during the exploitation of monitored information. The implementati...
Brian M. Bowen, Pratap V. Prabhu, Vasileios P. Kem...