Detection of encrypted executable files based on entropy analysis to determine the randomness measure of byte sequences

被引:3
|
作者
Alekseev I.V. [1 ]
Platonov V.V. [1 ]
机构
[1] Peter the Great St. Petersburg Polytechnic University, St. Petersburg
关键词
detection of potentially malicious software; encoder; entropy; statistical tests;
D O I
10.3103/S0146411617080041
中图分类号
学科分类号
摘要
A method has been proposed for identifying malicious programs that use encryption as a disguise. In this paper, a modification of the statistical spectral test based on entropy analysis has been described. © 2017, Allerton Press, Inc.
引用
收藏
页码:915 / 920
页数:5
相关论文
共 50 条
  • [1] IoT-Malware Detection Based on Byte Sequences of Executable Files
    Wan, Tzu-Ling
    Ban, Tao
    Lee, Yen-Ting
    Cheng, Shin-Ming
    Isawa, Ryoichi
    Takahashi, Takeshi
    Inoue, Daisuke
    [J]. 2020 15TH ASIA JOINT CONFERENCE ON INFORMATION SECURITY (ASIAJCIS 2020), 2020, : 143 - 150
  • [2] Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files
    Wan, Tzu-Ling
    Ban, Tao
    Cheng, Shin-Ming
    Lee, Yen-Ting
    Sun, Bo
    Isawa, Ryoichi
    Takahashi, Takeshi
    Inoue, Daisuke
    [J]. IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY, 2020, 1 : 262 - 275
  • [3] Detection of Malicious Executable Files Based on Clustering of Activities
    Ognev, R. A.
    Zhukovskii, E., V
    Zegzhda, D. P.
    [J]. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2021, 55 (08) : 1092 - 1098
  • [4] Detection of Malicious Executable Files Based on Clustering of Activities
    R. A. Ognev
    E. V. Zhukovskii
    D. P. Zegzhda
    [J]. Automatic Control and Computer Sciences, 2021, 55 : 1092 - 1098
  • [5] A Malware Variant Detection Method Based on Byte Randomness Test
    Qi, Shuhui
    Xu, Ming
    Zheng, Ning
    [J]. JOURNAL OF COMPUTERS, 2013, 8 (10) : 2469 - 2477
  • [6] Construction and evaluation of the new heuristic malware detection mechanism based on executable files static analysis
    Kozachok, A. V.
    Kozachok, V. I.
    [J]. JOURNAL OF COMPUTER VIROLOGY AND HACKING TECHNIQUES, 2018, 14 (03) : 225 - 231
  • [7] An Experimental Analysis on Malware Detection in Executable Files using Machine Learning
    Sharma, Anurag
    Mohanty, Suman
    Islam, Md Ruhul
    [J]. 2021 8TH INTERNATIONAL CONFERENCE ON SMART COMPUTING AND COMMUNICATIONS (ICSCC), 2021, : 178 - 182
  • [8] A survey on machine learning-based malware detection in executable files
    Singh, Jagsir
    Singh, Jaswinder
    [J]. JOURNAL OF SYSTEMS ARCHITECTURE, 2021, 112
  • [9] Analysis of the entropy randomness index for machining chatter detection
    Perez-Canales, Daniel
    Vela-Martinez, Luciano
    Carlos Jauregui-Correa, Juan
    Alvarez-Ramirez, Jose
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2012, 62 : 39 - 45
  • [10] Clustering of Malicious Executable Files Based on the Sequence Analysis of System Calls
    Ognev, R. A.
    Zhukovskii, E. V.
    Zegzhda, D. P.
    [J]. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2019, 53 (08) : 1045 - 1055