A behavioural in-depth analysis of ransomware infection

被引:15
|
作者
Lemmou, Yassine [1 ]
Lanet, Jean-Louis [2 ]
Souidi, El Mamoun [1 ]
机构
[1] Mohammed V Univ Rabat, Fac Sci, Rabat, Morocco
[2] INRIA, LHS, PEC, Rennes, France
关键词
D O I
10.1049/ise2.12004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Ransomware is a type of malware that has spread rapidly over the last 4 years, causing significant damage, especially in Windows environments. It is designed to encrypt or block victim's data, including documents, backups, and databases, unless a ransom is paid. In this study, the authors present the results of their research on Windows crypto-ransomware during the last 3 years by exploring and discussing the relevant ransomware behaviours. The results of this study can be used to identify or to detect the ransomware. Indeed, these behaviours were extracted from in-depth manual analysis of more than 20 ransomware families, including the known and the recent families. In addition, some extracted behaviours were automatically searched for more than 200 different ransomware collected during 2019.
引用
收藏
页码:38 / 58
页数:21
相关论文
共 50 条
  • [1] Avaddon ransomware: An in-depth analysis and decryption of infected systems
    Yuste, Javier
    Pastrana, Sergio
    COMPUTERS & SECURITY, 2021, 109
  • [2] An in-Depth Study of the Jisut Family of Android Ransomware
    Martin, Alejandro
    Hernandez-Castro, Julio
    Camacho, David
    IEEE ACCESS, 2018, 6 : 57205 - 57218
  • [3] Ransomware behavioural analysis on windows platforms
    Hampton, Nikolai
    Baig, Zubair
    Zeadally, Sherali
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2018, 40 : 44 - 51
  • [5] In-depth analysis
    Wilks, N
    PROFESSIONAL ENGINEERING, 2000, 13 (06) : 20 - 21
  • [6] An In-Depth Analysis of Original Antigenic Sin in Dengue Virus Infection
    Midgley, Claire M.
    Bajwa-Joseph, Martha
    Vasanawathana, Sirijitt
    Limpitikul, Wannee
    Wills, Bridget
    Flanagan, Aleksandra
    Waiyaiya, Emily
    Tran, Hai Bac
    Cowper, Alison E.
    Chotiyarnwon, Pojchong
    Grimes, Jonathan M.
    Yoksan, Sutee
    Malasit, Prida
    Simmons, Cameron P.
    Mongkolsapaya, Juthathip
    Screaton, Gavin R.
    JOURNAL OF VIROLOGY, 2011, 85 (01) : 410 - 421
  • [7] Crypto-Ransomware Detection Using Behavioural Analysis
    Goyal, Parth S.
    Kakkar, Akshat
    Vinod, Gopika
    Joseph, Gigi
    RELIABILITY, SAFETY AND HAZARD ASSESSMENT FOR RISK-BASED TECHNOLOGIES, 2020, : 239 - 251
  • [8] The In-Depth Analysis of Addiction
    Bedir, Emel
    ADDICTA-THE TURKISH JOURNAL ON ADDICTIONS, 2016, 3 (03): : 476 - 479
  • [9] Behavioural analysis and results of malware and ransomware using optimal behavioural feature set
    Bhagwat, Laxmi B.
    Patil, Balaji M.
    INTERNATIONAL JOURNAL OF INFORMATION AND COMPUTER SECURITY, 2024, 23 (01) : 57 - 78
  • [10] Strengthening Fungal Infection Diagnosis and Treatment: An In-depth Analysis of Capabilities in Honduras
    Ortiz, Bryan
    Varela, Diana
    Fontecha, Gustavo
    Torres, Karla
    Cornely, Oliver A.
    Salmanton-Garcia, Jon
    OPEN FORUM INFECTIOUS DISEASES, 2024, 11 (10):