Name
Title | ||
|---|---|---|
Detecting Obfuscated Suspicious JavaScript Based on Information-Theoretic Measures and Novelty Detection. |
Abstract | ||
|---|---|---|
It is common for attackers to launch famous Drive-by-download attacks by using malicious JavaScript on the Internet. In a typical case, attackers compromise legitimate websites and inject malicious JavaScript which is used to bounce the visitors to other pre-set malicious pages and infect them. In order to evade detectors, attackers obfuscate their malicious JavaScript so that the maliciousness can be hidden. In this paper, we propose a new approach for detecting suspicious obfuscated JavaScript based on information-theoretic measures and the idea of novelty detection. According to results of experiments, it can be seen the new system improves several potential weaknesses of previous systems. |
Year | Venue | Field |
|---|---|---|
2015 | ICISC | Novelty detection,World Wide Web,Computer science,Obfuscation,The Internet,JavaScript |
DocType | Citations | PageRank |
Conference | 1 | 0.41 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia-Wei Su | 1 | 162 | 8.30 |
| Katsunari Yoshioka | 2 | 147 | 22.92 |
| Junji Shikata | 3 | 209 | 34.44 |
| Tsutomu Matsumoto | 4 | 1156 | 197.58 |