JAVA']JAVASCRIPT MALWARE DETECTION USING A HIGH-LEVEL FUZZY PETRI NET

被引：0
|
作者：
Shen, Victor R. L. [1 ]
Wei, Chin-Shan [1 ]
Juang, Tony Tong-Ying [1 ]
机构：
[1] Natl Taipei Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 2 | 2018年
关键词：
Cyber security; !text type='Java']Java[!/text]Script; Mal ware detection. High-level fuzzy Petri net;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
JavaScript is a scripting language for web pages that allows website creators to run any code they want when users visit their website. Therefore, malicious JavaScript is the greatest threats within the cyber world. This paper proposes a novel method of detecting the JavaScript malware by using a high-level fuzzy Petri net (HLFPN). Firstly, the web pages are crawled to get JavaScript files. Secondly, the malicious features are extracted from JavaScript code. Finally, an HLFPN is used to determine the malicious code. The experimental results can support the effectiveness of our approach.
引用
收藏
页码：511 / 514
页数：4
相关论文
共 50 条
  • [1] Novel Java']JavaScript malware detection based on fuzzy Petri nets
    Lin, Yi-Nan
    Wang, Sheng-Kuan
    Yang, Cheng-Ying
    Shen, Victor R. L.
    Juang, Tony Tong-Ying
    Wei, Chin -Shan
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (01) : 249 - 261
  • [2] Automatic Video Shot Boundary Detection of News Stream Using a High-Level Fuzzy Petri Net
    Shen, Victor R. L.
    Tseng, Hsin-Yi
    Hsu, Chan-Hao
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2014, : 1342 - 1347
  • [3] The implementation of a smartphone-based fall detection system using a high-level fuzzy Petri net
    Shen, Victor R. L.
    Lai, Horng-Yih
    Lai, Ah-Fur
    [J]. APPLIED SOFT COMPUTING, 2015, 26 : 390 - 400
  • [4] Generalized net representation of fuzzy-timing high-level petri nets
    Gochev, V
    Kodogiannis, V
    [J]. CONCURRENT ENGINEERING: ADVANCED DESIGN, PRODUCTION AND MANAGEMENT SYSTEMS, 2003, : 1087 - 1090
  • [5] APPLICATION OF HIGH-LEVEL FUZZY PETRI NETS TO FALL DETECTION SYSTEM USING SMARTPHONE
    Shen, Victor R. L.
    Lai, Horng-Yih
    Lai, Ah-Fur
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4, 2013, : 1429 - 1435
  • [6] Knowledge representation using high-level fuzzy Petri nets
    Shen, Victor R. L.
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2006, 36 (06): : 1220 - 1227
  • [7] ON THE ANALYSIS OF STOCHASTIC HIGH-LEVEL PETRI NET MODELS
    LIN, C
    MARINESCU, DC
    [J]. MICROELECTRONICS AND RELIABILITY, 1991, 31 (04): : 747 - 767
  • [8] High-level Petri net approach for supervisory control
    Zouari, B
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 1161 - 1166
  • [9] Analysis of assembly operations' difficulty using enhanced expert high-level colored fuzzy Petri net model
    Ben-Arieh, D
    Kumar, RR
    Tiwari, MK
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2004, 20 (05) : 385 - 403
  • [10] High-Level Petri Net Model Checking with AlPiNA
    Hostettler, Steve
    Marechal, Alexis
    Linard, Alban
    Risoldi, Matteo
    Buchs, Didier
    [J]. FUNDAMENTA INFORMATICAE, 2011, 113 (3-4) : 229 - 264
12345