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» A semantics-based approach to malware detection
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KDD
2007
ACM
566views Data Mining» more  KDD 2007»
15 years 10 months ago
IMDS: intelligent malware detection system
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye
RAID
2010
Springer
14 years 8 months ago
Detecting the Onset of Infection for Secure Hosts
Abstract. Software flaws in applications such as a browser may be exploited by attackers to launch drive-by-download (DBD), which has become the major vector of malware infection....
Kui Xu, Qiang Ma, Danfeng (Daphne) Yao
CLEF
2010
Springer
14 years 10 months ago
Fuzzy Semantic-Based String Similarity for Extrinsic Plagiarism Detection - Lab Report for PAN at CLEF 2010
This report explains our plagiarism detection method using fuzzy semantic-based string similarity approach. The algorithm was developed through four main stages. First is pre-proce...
Salha Alzahrani, Naomie Salim
CCS
2010
ACM
14 years 9 months ago
AccessMiner: using system-centric models for malware protection
Models based on system calls are a popular and common approach to characterize the run-time behavior of programs. For example, system calls are used by intrusion detection systems...
Andrea Lanzi, Davide Balzarotti, Christopher Krueg...
WISTP
2010
Springer
15 years 4 months ago
A Probabilistic Diffusion Scheme for Anomaly Detection on Smartphones
Widespread use and general purpose computing capabilities of next generation smartphones make them the next big targets of malicious software (malware) and security attacks. Given ...
Tansu Alpcan, Christian Bauckhage, Aubrey-Derrick ...