A kind of Malicious Code Detection Scheme based on Fuzzy Reasoning

被引：1
|
作者：
Gang, Guo [1 ]
Chen Zhongquan [1 ]
机构：
[1] Beijing Inst Technol, Sch Comp Sci, Beijing 100081, Peoples R China
来源：
2014 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA) | 2014年
关键词：
malicious code detection; fuzzy reasoning; artificial neural network;
D O I：
10.1109/ICICTA.2014.12
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This thesis presents a malicious-degree decision system based on dynamic fuzzy neural network. Integrated with fuzzy reasoning and neural network in artificial intelligence, this system gives a comprehensive evaluation such as malicious-degree by analyzing the behaviors of unknown code. This method is compared with simple and multiple Bayes in the end. The experimental results and comparison show that this decision system can achieve good results in detecting polymorphic and unknown viruses
引用
收藏
页码：19 / 22
页数：4
相关论文
共 50 条
  • [1] Malicious Code Utilization Chain Detection Scheme based on Abstract Syntax Tree
    Si, Guanlin
    Zhang, Yue
    Li, Min
    Jing, Sen
    [J]. 2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 1108 - 1111
  • [2] Malicious Code Detection Based on Code Semantic Features
    Zhang, Yu
    Li, Binglong
    [J]. IEEE ACCESS, 2020, 8 : 176728 - 176737
  • [3] A Full-Lifecycle Malicious Code Detection Scheme Based on RASP and Random Forest
    Cheng, Jiameng
    Zhang, Chenhao
    Zhang, Hongwei
    Wang, Cong
    Wang, Jinsong
    [J]. ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT II, ICIC 2024, 2024, 14876 : 281 - 293
  • [4] Detection technology of malicious code based on semantic
    Lu, Qingmei
    Wang, Yulin
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (19) : 19543 - 19555
  • [5] Malicious Code Detection Based on Software Fingerprint
    Yin, Zhimin
    Yu, Xiangzhan
    Niu, Linhua
    [J]. PROCEEDINGS OF THE 2013 THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (ICAISE 2013), 2013, 37 : 212 - 216
  • [6] Detection technology of malicious code based on semantic
    Qingmei Lu
    Yulin Wang
    [J]. Multimedia Tools and Applications, 2017, 76 : 19543 - 19555
  • [7] Unknown Malicious Code Detection Based on Bayesian
    Lai, Yingxu
    Liu, Zhenghui
    [J]. CEIS 2011, 2011, 15
  • [8] Design of malicious code detection system based on binar code slicin
    Zhang, Zhiyuan
    Zhang, Zhenjiang
    Li, Wei
    Zhou, Hongde
    Shen, Bo
    [J]. Journal of Computers (Taiwan), 2021, 32 (04) : 225 - 238
  • [9] Immunity-Based Model for Malicious Code Detection
    Zhang, Yu
    Wu, Lihua
    Xia, Feng
    Liu, Xiaowen
    [J]. ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, 2010, 6215 : 399 - 406
  • [10] The Algorithm of Malicious Code Detection Based on Data Mining
    Yang, Yubo
    Zhao, Yang
    Liu, Xiabi
    [J]. GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I, 2017, 1864
12345