Modeling the spreading behavior of passive worms in mobile social networks

• Published in: 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering Vol. 1; pp. 380 - 383
• Main Authors: Adu-Gyamfi, D., Yong Wang, Fengli Zhang, Domenic, M. Kamenyi, Memon, Imran, Gustav, Yankson H.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-11-2013
• Subjects: Grippers; Mathematical model; Mobile communication; Mobile computing; Mobile Social Networks; Network Security; Passive Worms; Peer-to-peer computing; Security; Social network services; Spreading Model; User Behavior
• ISBN: 9781479939855; 1479939854
• ISSN: 2155-1456; 2155-1472
• DOI: 10.1109/ICIII.2013.6702953

Spreading behavior of passive worms, in mobile social networks has raised a lot of concerns for malicious worms researchers in network security for some time now. However, as a result of dynamic and complex nature of mobile social networks, studies are still evolving. This paper introduces the spreading behavior of passive worms in mobile social networks, to contribute find effective antidote to fight against the spreading of especially, passive worms in mobile social networks. To study its effectiveness in mobile social networks, this paper tackles the peers that constitute the mobile topology in social networks and user behavior as consideration and puts forward a five-state spreading model for passive worms spreading. The model also simplified the fact that, size of a mobile social network is large enough, but devices have limited resources like memory, processor, battery etc. The simulation result has also not only validated the effectiveness of our passive worms behavior spreading model, but closely evaluated the efficient performance of the model compared to similar recent researches.