Security and Privacy in Mobile Information and Communication Systems. First International ICST Conference, MobiSec 2009, Turin, Italy, June 3-5, 2009, Revised Selected Papers

Research Article

On Modeling Viral Diffusion in Heterogeneous Wireless Networks

Download270 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-04434-2_21,
        author={Hoai-Nam Nguyen and Yoichi Shinoda},
        title={ On Modeling Viral Diffusion in Heterogeneous Wireless Networks },
        proceedings={Security and Privacy in Mobile Information and Communication Systems. First International ICST Conference, MobiSec 2009, Turin, Italy, June 3-5, 2009, Revised Selected Papers},
        proceedings_a={MOBISEC},
        year={2012},
        month={5},
        keywords={},
        doi={10.1007/978-3-642-04434-2_21}
    }
    
  • Hoai-Nam Nguyen
    Yoichi Shinoda
    Year: 2012
    On Modeling Viral Diffusion in Heterogeneous Wireless Networks
    MOBISEC
    Springer
    DOI: 10.1007/978-3-642-04434-2_21
Hoai-Nam Nguyen1,*, Yoichi Shinoda1,*
  • 1: Japan Advanced Institute of Science and Technology
*Contact email: namnh@jaist.ac.jp, shinoda@jaist.ac.jp

Abstract

Smart phones and computers now are able to co-work in a wireless environment where malware can propagate. Although many investigations have modeled the spread of malware, little has been done to take into account different characteristics of items to see how they affect disease diffusion in an ad hoc network. We have therefore developed a novel framework, consisting of two models, which consider diversity of objects as well as interactions between their different classes. Our framework is able to produce a huge result space thus makes it appropriate to describe many viral proliferating scenarios. Additionally, we have developed a formula to calculate the possible average number of newly infected devices in the considered system. An important contribution of our work is the comprehension of item diversity, which states that a mixture of device types causes a bigger malware spread as the number of device types in the network increases.