More and more advanced persistent threat attacks has happened since 2009. This kind of attacks usually use more than one zero-day exploit to achieve its goal. Most of the times, the target computer will execute malicious program after the user open an infected compound document. The original detection method becomes inefficient as the attackers using a zero-day exploit to structure these compound documents. Inspired by the detection method based on structural entropy, we apply wavelet analysis to malicious document detection system. In our research, we use wavelet analysis to extract features from the raw data. These features will be used todetect whether the compound document was embed malicious code.
['Binjie Gu', 'Yong Fang', 'P. Jia', 'Liang Liu', 'Lei Zhang', 'Meilin Wang']
A New Static Detection Method of Malicious Document Based on Wavelet Package Analysis