• DocumentCode
    62254
  • Title

    Modeling the Propagation of Worms in Networks: A Survey

  • Author

    Yini Wang ; Sheng Wen ; Yang Xiang ; Wanlei Zhou

  • Author_Institution
    Sch. of Inf. Technol., Deakin Univ., Melbourne, VIC, Australia
  • Volume
    16
  • Issue
    2
  • fYear
    2014
  • fDate
    Second Quarter 2014
  • Firstpage
    942
  • Lastpage
    960
  • Abstract
    There are the two common means for propagating worms: scanning vulnerable computers in the network and spreading through topological neighbors. Modeling the propagation of worms can help us understand how worms spread and devise effective defense strategies. However, most previous researches either focus on their proposed work or pay attention to exploring detection and defense system. Few of them gives a comprehensive analysis in modeling the propagation of worms which is helpful for developing defense mechanism against worms´ spreading. This paper presents a survey and comparison of worms´ propagation models according to two different spreading methods of worms. We first identify worms characteristics through their spreading behavior, and then classify various target discover techniques employed by them. Furthermore, we investigate different topologies for modeling the spreading of worms, analyze various worms´ propagation models and emphasize the performance of each model. Based on the analysis of worms´ spreading and the existing research, an open filed and future direction with modeling the propagation of worms is provided.
  • Keywords
    computer network security; invasive software; comprehensive analysis; defense mechanism; defense system; detection system; effective defense strategy; spreading behavior identification; target classification; topological neighbors; vulnerable computer scanning; worm spreading method; worms characteristics identification; worms propagation modeling; Analytical models; Computers; Electronic mail; Grippers; IP networks; Network topology; Topology; Modeling; Network security; Propagation; Worms;
  • fLanguage
    English
  • Journal_Title
    Communications Surveys & Tutorials, IEEE
  • Publisher
    ieee
  • ISSN
    1553-877X
  • Type

    jour

  • DOI
    10.1109/SURV.2013.100913.00195
  • Filename
    6644336