Malicious Pdf Document Detection Based on Feature Extraction and Entropy
Himanshu Pareek · International Journal of Security Privacy and Trust Management · 2013
In this paper we present a machine learning based approach for detection of malicious PDF documents.We identify various features in PDF documents which are used by malware authors to construct a malicious file.Based on these feature set we arrive on models which is used to detect malicious PDF documents.Based on these feature sets, detection rate is high as compared to approaches which depends on analysis of JavaScript embedded in the PDF document.