Title :
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
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;
Conference_Titel :
Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4577-2077-2
DOI :
10.1109/ICCICT.2012.6398191
