| Presentation | 2017-03-13 Malicious PDF Detection Scheme using Keywords Feature based on Fuzzy inference Hiroya Kato, Shuichiro Haruta, Iwao Sasase, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Detecting malicious PDFs (Portable Document Format) is imperative. In several malicious PDF detection schemes, the scheme that focuses on the difference of internal components called "keyword" among malicious and legitimate is gathering attention. That scheme uses the number of occurrence of the keywords that appear frequently in files of the training dataset as features. However, since keywords which are not adopted as features are ignored, it might miss the useful keywords. In this paper, we propose Malicious PDF Detection Scheme using Keywords Feature based on Fuzzy inference. By computer simulation with real dataset, we demonstrate our scheme can reduce both false positive and false negative. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | PDF / Machine Learning / Fuzzy Inference / JavaScript |
| Paper # | ICSS2016-54 |
| Date of Issue | 2017-03-06 (ICSS) |
| Conference Information | |
| Committee | ICSS / IPSJ-SPT |
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| Conference Date | 2017/3/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | University of Nagasaki |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System Security, etc. |
| Chair | Yutaka Miyake(KDDI R&D Labs.) |
| Vice Chair | Yoshiaki Shiraishi(Kobe Univ.) / Takeshi Ueda(Mitsubishi Electric) |
| Secretary | Yoshiaki Shiraishi(NII) / Takeshi Ueda(Yokohama National Univ.) |
| Assistant | Kazunori Kamiya(NTT) / Takahiro Kasama(NICT) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication System Security / Special Interest Group on Security Psychology and Trust |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Malicious PDF Detection Scheme using Keywords Feature based on Fuzzy inference |
| Sub Title (in English) | |
| Keyword(1) | |
| Keyword(2) | Machine Learning |
| Keyword(3) | Fuzzy Inference |
| Keyword(4) | JavaScript |
| 1st Author's Name | Hiroya Kato |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Shuichiro Haruta |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| 3rd Author's Name | Iwao Sasase |
| 3rd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2017-03-13 |
| Paper # | ICSS2016-54 |
| Volume (vol) | vol.116 |
| Number (no) | ICSS-522 |
| Page | pp.pp.85-90(ICSS), |
| #Pages | 6 |
| Date of Issue | 2017-03-06 (ICSS) |