Javascript Malware Detection Using A High-Level Fuzzy Petri Net
Victor R.L. Shen, Chin-Shan Wei, Tony Tong-Ying Juang · 2018
JavaScript is a scripting language for web pages that allows website creators to run any code they want when users visit their website. Therefore, malicious JavaScript is the greatest threats within the cyber world. This paper proposes a novel method of detecting the JavaScript malware by using a high-level fuzzy Petri net (HLFPN). Firstly, the web pages are crawled to get JavaScript files. Secondly, the malicious features are extracted from JavaScript code. Finally, an HLFPN is used to determine the malicious code. The experimental results can support the effectiveness of our approach.