CVPD: A tool based on a social network analysis to combating viruses propagation

Author

Mishra, Shivakant ; Agrawal, Urvashi ; Nandi, Gora Chand

Author_Institution

Robot. & Artificial Intell. Lab., Indian Inst. of Inf. Technol., Allahabad, India

fYear

2012

fDate

19-20 Oct. 2012

Firstpage

1

Lastpage

5

Abstract

It has been seen that Social network analysis is gaining its applicability in several areas like business, marketing, biology, disease modeling, and anti-terrorism. In this paper, we have discussed its practical application in the domain of computer network to identify distribution of computer viruses flowing through the network. To the best of our knowledge this is a novel idea and is based on the gSpan (Graph based substructure Pattern Mining) algorithm for identifying frequent pattern of viruses flowing in a particular region of connected nodes. This crusades make analysist enabled to deal with the problems and deploy more efficient antivirus in that region of nodes.

Keywords

computer network security; computer viruses; data mining; graph theory; pattern classification; social networking (online); CVPD; computer network domain; computer virus distribution identification; connected nodes; frequent virus pattern identification; gSpan; gSpan algorithm; graph based substructure pattern mining algorithm; social network analysis based tool; virus propagation; Computational modeling; Computer networks; Computer viruses; Computers; Organizations; Social network services; Viruses (medical); CVPD algorithm; Computer virus propagation; Social network analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication, Information & Computing Technology (ICCICT), 2012 International Conference on

Conference_Location

Mumbai

Print_ISBN

978-1-4577-2077-2

Type

conf

DOI

10.1109/ICCICT.2012.6398191

Filename

6398191