Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Information Security

San Jose State University

Theses/Dissertations

2016

Javascript Malware Detection N-grams

Articles 1 - 1 of 1

Full-Text Articles in Physical Sciences and Mathematics

Malicious Javascript Detection Using Statistical Language Model, Anumeha Shah May 2016

Malicious Javascript Detection Using Statistical Language Model, Anumeha Shah

Master's Projects

The Internet has an immense importance in our day to day life, but at the same time, it has become the medium of infecting computers, attacking users, and distributing malicious code. As JavaScript is the principal language of client side pro- gramming, it is frequently used in conducting such attacks. Various approaches have been made to overcome the JavaScript security issues. Some advanced approaches utilize machine learning technology in combination with de-obfuscation and emula- tion. Many methods of analysis incorporate static analysis and dynamic analysis. Our solution is entirely based on static analysis, which avoids unnecessary runtime overhead.

The central …