Computer virus propagation models: A mathematical review

被引:0
|
作者
Prakash, Om [1 ]
Kumar, Avadhesh [1 ]
Bharti, Sunil Kumar [2 ]
机构
[1] Galgotias Univ, Sch Comp Sci & Engn, Greater Noida, Uttar Pradesh, India
[2] Galgotias Coll Engn & Technol, Dept Informat Technol, Greater Noida, Uttar Pradesh, India
关键词
Delay differential equation; Epidemic model; Network model; SIR model; SIS model; Stochastic model; CHALLENGES; INTERNET;
D O I
10.47974/JIOS-1426
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
The physical world has come together by the connection of devices on an extra ordinary level through internet of things. This forms a very complex and dynamic network system and number of heterogeneous device are connected with each other. Physical objects connected in a network, interchange data with other connected devices via communication networks. The data interchange is very helpful in a number of domains in day-to-day life of human beings. Security of connection and data is one of the major challenges for this connection and communication. A computer virus is a potential threat resulting into the damage of connected devices into a network and the data. Epidemic models, similar with biological virus spread models, are widely studied to investigate the behaviour of computer viruses. The primary objective of the article is to categorize a number of computer virus propagation model, so that their comparative studies becomes easier. This article contains a qualitative review and categorization of computer virus propagation models into three categories, namely, compartment model, network model and stochastic model. The study is helpful to further investigate the virus propagation mechanism and to control them optimally.
引用
收藏
页码:1043 / 1055
页数:13
相关论文
共 50 条
  • [1] Modeling of Computer Virus Propagation with Fuzzy Parameters
    Alhebshi, Reemah M.
    Ahmed, Nauman
    Baleanu, Dumitru
    Fatima, Umbreen
    Dayan, Fazal
    Rafiq, Muhammad
    Raza, Ali
    Ahmad, Muhammad Ozair
    Mahmoud, Emad E.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 74 (03): : 5663 - 5678
  • [2] Analysis of a SEIR-KS Mathematical Model For Computer Virus Propagation in a Periodic Environment
    Coronel, Anibal
    Huancas, Fernando
    Hess, Ian
    Lozada, Esperanza
    Novoa-Munoz, Francisco
    MATHEMATICS, 2020, 8 (05)
  • [3] Mathematical modeling of the propagation of malware: a review
    Martin del Rey, Angel
    SECURITY AND COMMUNICATION NETWORKS, 2015, 8 (15) : 2561 - 2579
  • [4] Mathematical Model to Study Propagation of Computer Worm in a Network
    Sricharan, K. Gowtham
    Kisore, N. Raghu
    2015 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2015, : 772 - 777
  • [5] DYNAMICALLY CONSISTENT NONSTANDARD NUMERICAL SCHEMES FOR SOLVING SOME COMPUTER VIRUS AND MALWARE PROPAGATION MODELS
    Hoang, Manh Tuan
    Ngo, Thi Kim Quy
    Hurg Tran, Dini
    MATHEMATICAL FOUNDATIONS OF COMPUTING, 2023, 6 (04): : 704 - 727
  • [6] Optimal control in models of virus propagation
    Liu X.
    Gubar E.
    EAI Endorsed Transactions on Pervasive Health and Technology, 2024, 10
  • [7] Mathematical Model on Attack of Worm and Virus in Computer Network
    Mishra, Binay Kumar
    INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING, 2016, 9 (06): : 245 - 254
  • [8] Global Bifurcation of a Novel Computer Virus Propagation Model
    Ren, Jianguo
    Xu, Yonghong
    Liu, Jiming
    ABSTRACT AND APPLIED ANALYSIS, 2014,
  • [9] A propagation model of computer virus with nonlinear vaccination probability
    Gan, Chenquan
    Yang, Xiaofan
    Liu, Wanping
    Zhu, Qingyi
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2014, 19 (01) : 92 - 100
  • [10] A novel computer virus propagation model and its dynamics
    Yang, Lu-Xing
    Yang, Xiaofan
    Wen, Luosheng
    Liu, Jiming
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2012, 89 (17) : 2307 - 2314