Presentation | 2019-07-04 Android Malware Detection Scheme Based on Level of SSL Server Certificate 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) | In this paper, in order to detect Android malwares which encrypt packets, we propose an Android malware detection scheme based on level of SSL server certificate. Attackers tend to use an untrusted certificate to encrypt malicious payloads in many cases because passing rigorous examination is required to get a trusted certificate. Thus, we utilize SSL server certificate based features for detection since their certificates tend to be untrusted. Furthermore, in order to obtain the more exact features, we introduce required permission based weight values because malwares inevitably require permissions regarding malicious actions. By computer simulation with real dataset, we show our scheme achieves an accuracy of 92.7 %. Our scheme can cope with encrypted malicious payloads and 89 malwares which are not detected by the previous scheme. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Android malwares / SSL / Machine Learning |
Paper # | CS2019-15 |
Date of Issue | 2019-06-27 (CS) |
Conference Information | |
Committee | CS |
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Conference Date | 2019/7/4(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Amami City Social Welfare Center |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc. |
Chair | Hidenori Nakazato(Waseda Univ.) |
Vice Chair | Jun Terada(NTT) |
Secretary | Jun Terada(Waseda Univ.) |
Assistant | Kazutaka Hara(NTT) / Hiroyuki Saito(OKI) |
Paper Information | |
Registration To | Technical Committee on Communication Systems |
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Language | ENG-JTITLE |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Android Malware Detection Scheme Based on Level of SSL Server Certificate |
Sub Title (in English) | |
Keyword(1) | Android malwares |
Keyword(2) | SSL |
Keyword(3) | Machine Learning |
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 | 2019-07-04 |
Paper # | CS2019-15 |
Volume (vol) | vol.119 |
Number (no) | CS-101 |
Page | pp.pp.13-18(CS), |
#Pages | 6 |
Date of Issue | 2019-06-27 (CS) |