• DocumentCode
    1969701
  • Title

    Swarm intelligence based key generation for text encryption in cellular networks

  • Author

    Sreelaja, N.K. ; Pai, G. A Vijayalakshmi

  • Author_Institution
    PSG Coll. of Technol., Coimbatore
  • fYear
    2008
  • fDate
    6-10 Jan. 2008
  • Firstpage
    622
  • Lastpage
    629
  • Abstract
    Encryption of data traffic in cellular network is essential since it is vulnerable to eavesdropping. This paper focuses on encrypting the data sent between the mobile stations and base stations using a stream cipher method. However, the keys for encryption are generated using a swarm intelligence approach. Swarm intelligence is the emergent collective intelligence of groups of simple autonomous agents. The novel technique termed Ant Colony Key Generation Algorithm (AKGA) employs a character code table for encoding the keys. The advantage of this approach is that it reduces the number of keys to be stored and distributed. Experimental results demonstrating AKGApsilas encrypting text of different lengths and the comparison of its performance with other stream cipher methods are presented.
  • Keywords
    cellular radio; cryptography; optimisation; telecommunication traffic; ant colony key generation algorithm; autonomous agents; base station; cellular network; data traffic; encoding; mobile station; stream cipher method; swarm intelligence; text encryption; Base stations; Character generation; Communication switching; Cryptography; Educational institutions; Intelligent agent; Land mobile radio cellular systems; Particle swarm optimization; Telecommunication traffic; Telephony; Cellular Networks; Character Code Table; Key Generation; Stream Cipher; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems Software and Middleware and Workshops, 2008. COMSWARE 2008. 3rd International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4244-1796-4
  • Electronic_ISBN
    978-1-4244-1797-1
  • Type

    conf

  • DOI
    10.1109/COMSWA.2008.4554485
  • Filename
    4554485