Worm propagation model in mobile network

被引:3
|
作者
Chen, Zhide [1 ]
Wang, Meng [1 ]
Xu, Li [1 ]
Wu, Wei [1 ]
机构
[1] Fujian Normal Univ, Sch Math & Comp Sci, Key Lab Network Secur & Cryptog, Fuzhou, Fujian Province, Peoples R China
来源
关键词
mobile environment; worm propagation; km model; control factors;
D O I
10.1002/cpe.3566
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
With the popularity of mobile smart devices and functional diversification, the infection ways of mobile smartphones worm also become diverse. In mobile networks, mobile devices are suffering from the threat of worms all the time. Once the worm outbreaks, it will bring huge losses to mobile phone users and mobile network operators. Researches on mobile worm propagation model allow us to control and detect potential worm threat, according to the characteristics of worm's outbreak. In the paper, we put forward a worm propagation model based on the mobile network environment. After analyzing the model, we then give the simulation for controlling factors affecting worm propagation. This model allows us to have a certain understanding for the spread on the size and speed of the mobile worm and provide effective methods to control the spread of the mobile worm. Copyright (c) 2015John Wiley & Sons, Ltd.
引用
收藏
页码:1134 / 1144
页数:11
相关论文
共 50 条
  • [31] Dynamics of a delayed worm propagation model with quarantine
    Zhang, Zizhen
    Song, Limin
    ADVANCES IN DIFFERENCE EQUATIONS, 2017,
  • [32] Active worm propagation model with discrete time
    Li, ZT
    Jiang, HJ
    Li, HJ
    Proceedings of the 11th Joint International Computer Conference, 2005, : 122 - 125
  • [33] A Discrete Dynamic Model for Computer Worm Propagation
    Liu, Wanping
    Liu, Chao
    Liu, Xiaoyang
    DIFFERENCE EQUATIONS, DISCRETE DYNAMICAL SYSTEMS AND APPLICATIONS, 2015, 150 : 119 - 131
  • [34] Research on Adaptive Propagation Model for System Optimization in Mobile Communication Network
    Chen, Qi
    Zhao, Tong
    INTERNATIONAL CONFERENCE ON REMOTE SENSING AND WIRELESS COMMUNICATIONS (RSWC 2014), 2014, : 39 - 44
  • [35] Fault Propagation Model in Mobile Ad Hoc Network Based on Random Walk Model
    Hong, Sheng
    Yang, Hongqi
    Huang, Ning
    Li, Daqing
    Cao, Genqian
    Wu, Zhitao
    2014 IEEE 4TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2014, : 434 - 439
  • [36] A four-step method for investigating network worm propagation
    Tafazzoli, Tala
    Sadeghiyan, Babak
    2019 7TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSICS AND SECURITY (ISDFS), 2019,
  • [37] Modeling and Stability Analysis of Worm Propagation in Wireless Sensor Network
    Feng, Liping
    Song, Lipeng
    Zhao, Qingshan
    Wang, Hongbin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [38] Global stability of VEISV propagation modeling for network worm attack
    Yang, Yu
    APPLIED MATHEMATICAL MODELLING, 2015, 39 (02) : 776 - 780
  • [39] Fuzzy VEISV Epidemic Propagation Modeling for Network Worm Attack
    Kumar, Muthukrishnan Senthil
    Veeramani, C.
    COMPUTATIONAL INTELLIGENCE, CYBER SECURITY AND COMPUTATIONAL MODELS, 2014, 246 : 293 - 303
  • [40] Stability analysis of VEISV propagation modeling for network worm attack
    Toutonji, Ossama A.
    Yoo, Seong-Moo
    Park, Moongyu
    APPLIED MATHEMATICAL MODELLING, 2012, 36 (06) : 2751 - 2761