Detecting Obfuscated Suspicious JavaScript Based on Information-Theoretic Measures and Novelty Detection-Reference-Cited by-同舟云学术

Detecting Obfuscated Suspicious JavaScript Based on Information-Theoretic Measures and Novelty Detection

Published:2016 Issue: Volume: Page:278-293
ISSN:0302-9743
Container-title:Information Security and Cryptology - ICISC 2015
language:
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Author:

Su Jiawei,Yoshioka Katsunari,Shikata Junji,Matsumoto Tsutomu

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-30840-1_18

Reference17 articles.

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2. Likarish, P., Jung, E.J., Jo, I.: Obfuscated malicious JavaScript detection using classification techniques. In: 4th International Conference on Malicious and Unwanted Software, pp. 47–53. IEEE (2009)

3. Wang, W., Lv, Y., Chen, H., Fang, Z.: A static malicious JavaScript detection using SVM. In: 2nd International Conference on Computer Science and Electronics Engineering (2013)

4. Kim, B., Im, C., Jung, H.: Suspicious malicious web site detection with strength analysis of a JavaScript obfuscation. Int. J. Adv. Sci. Technol. 26, 19–32 (2011)

5. Nishida, M., et al.: Obfuscated malicious JavaScript detection using machine learning with character frequency. In: Information processing society of Japan SIG Technical report, No.21 (2014)

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