Publication Date
2010
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Malware is a serious threat to the security of the system. With the widespread use of the World Wide Web, there has been a tremendous increase in virus attacks, making computer security an essential for every personal computer. The rat-race between virus writers and detectors has led to improved viruses and detection techniques. In recent years, metamorphic malwares have posed serious challenge to anti-virus writers. Current signature based detection techniques, heuristic based techniques are not comprehensive solutions. A formidable solution to detection of metamorphic malware is void. This paper investigates the problem of malware detection, specifically metamorphic malwares. The paper proposes a statistical based detection technique as a viable candidate for comprehensive detection of metamorphic malwares. Related work, experimental results and analysis of the results are presented in this paper.
Recommended Citation
Govindaraju, Aditya, "Exhaustive Statistical Analysis for Detection of Metamorphic Malware" (2010). Master's Projects. 66.
DOI: https://doi.org/10.31979/etd.ucv9-qd8t
https://scholarworks.sjsu.edu/etd_projects/66
