Behavior-based Spyware Detection

15th USENIX Security Symposium; Pp. 273–288 of the Proceedings Engin Kirda and Christopher Kruegel; Secure Systems Lab Technical University Vienna Greg Banks, Giovanni Vigna, and Richard A. Kemmerer; Department of Computer Science University of California, Santa Barbara Spyware is rapidly becoming a major security issue. Spyware programs are surreptitiously installed on a user’s workstation to … Читать далее Behavior-based Spyware Detection

Automating Malware Detection by Inferring Intent

Weidong Cui, Electrical Engineering and Computer Sciences University of California at Berkeley, Technical Report No. UCB/EECS-2006-115 An increasing variety of malware like worms, spyware and adware threatens both personal and business computing. Modern malware has two features: (1) malware evolves rapidly; (2) selfpropagating malware can spread very fast. These features lead to a strong need … Читать далее Automating Malware Detection by Inferring Intent

Fileprint analysis for Malware Detection

Salvatore J. Stolfo, Ke Wang, Wei-Jen Li, Columbia University Abstract Malcode can be easily hidden in document files and embedded in application executables. We demonstrate this opportunity of stealthy malcode insertion in several experiments using a standard COTS Anti-Virus (AV) scanner. In the case of zero-day malicious exploit code, signature-based AV scanners would fail to … Читать далее Fileprint analysis for Malware Detection