• DocumentCode
    2127900
  • Title

    MPeersim: Simulation environment for mobile P2P networks

  • Author

    Adeel, Muhammad ; Tokarchuk, Laurissa N.

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
  • fYear
    2011
  • fDate
    15-17 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In understanding technical aspects of technology, simulation environments play a very important role. Emergence of mobile P2P networks and their widespread adoption has accentuated the need for development of a simulation platform for modeling and analysis of these networks. This paper presents MPeersim, a simulation environment capable of modeling mobile P2P networks by incorporating configurable node and network related parameters to attain various statistics for subsequent analysis. MPeersim presents a novel concept of mobile P2P network monitoring. It not only provides with a pivotal platform for conducting propagation analysis of legitimate mobile P2P traffic but also of 13 mobile P2P malware families that encompass around 25% of the total discovered mobile malware. 3-tier statistics collection model of MPeersim enables it to collect generic mobile and network statistics on network and community levels while behaviour statistics on agent nodes. These statistics help detect network and community based mobile P2P threats and malware families.
  • Keywords
    invasive software; mobile computing; peer-to-peer computing; telecommunication traffic; 3-tier statistics collection model; MPeersim; agent nodes; mobile P2P malware family; mobile P2P network monitoring; mobile P2P threats; mobile P2P traffic; simulation environment; Batteries; Bluetooth; Communities; Malware; Mobile communication; Mobile computing; Peer to peer computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software, Telecommunications and Computer Networks (SoftCOM), 2011 19th International Conference on
  • Conference_Location
    Split
  • Print_ISBN
    978-1-4577-1439-9
  • Type

    conf

  • Filename
    6064422