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Using Incentives to Reduce Active Network Privacy Threats and Vulnerabilities

  • Conference paper
Book cover Signal Processing and Multimedia (MulGraB 2010, SIP 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 123))

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Abstract

This paper scrutinize an active network scenario and proposes an efficient dual authentication key exchanged. The scheme protects personal privacy of identity information. It also provides an effective method to protect against DOS attacks with the scope information of initiator’s random number table sent by the responder.

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Author information

Authors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Maricel Balitanas & Tai-hoon Kim

Authors
  1. Maricel Balitanas
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  2. Tai-hoon Kim
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Editor information

Editors and Affiliations

  1. Hannam University, Daejeon, South Korea

    Tai-hoon Kim

  2. Indian Statistical Institute, Kolkata, India

    Sankar K. Pal

  3. Department of Computer and Information Science, University of Michigan – Dearborn, 4901 Evergreen Road, 48128, Dearborn, MI, USA

    William I. Grosky

  4. Florida International University, EC 2910, 10555 W. Flagler Street, 33174, Miami, FL, USA

    Niki Pissinou

  5. National Taipei University of Education, No.134, Sec. 2, Heping E. Rd., Da-an District, 106, Taipei City, Taiwan (R.O.C.)

    Timothy K. Shih

  6. University of Warsaw & Infobright Inc., Poland

    Dominik Ślęzak

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Balitanas, M., Kim, Th. (2010). Using Incentives to Reduce Active Network Privacy Threats and Vulnerabilities. In: Kim, Th., Pal, S.K., Grosky, W.I., Pissinou, N., Shih, T.K., Ślęzak, D. (eds) Signal Processing and Multimedia. MulGraB SIP 2010 2010. Communications in Computer and Information Science, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17641-8_36

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  • DOI: https://doi.org/10.1007/978-3-642-17641-8_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17640-1

  • Online ISBN: 978-3-642-17641-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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