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The wireless epidemic

Author

Listed:
  • Jon Kleinberg

    (Cornell University, Ithaca, New York 14853, USA. kleinber@cs.cornell.edu)

Abstract

As wireless communication technologies spread, so the potential for viruses to exploit them grows. Biological models of virus transmission will assume new relevance for assessing the emerging threat.

Suggested Citation

  • Jon Kleinberg, 2007. "The wireless epidemic," Nature, Nature, vol. 449(7160), pages 287-288, September.
    • Handle: RePEc:nat:nature:v:449:y:2007:i:7160:d:10.1038_449287a
    DOI: 10.1038/449287a
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    Citations

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    Cited by:

    1. Nimrod Serok & Efrat Blumenfeld-Lieberthal, 2015. "A Simulation Model for Intra-Urban Movements," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-15, July.
    2. Rhodes, C.J. & Nekovee, M., 2008. "The opportunistic transmission of wireless worms between mobile devices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6837-6844.
    3. Fagiolo, Giorgio & Santoni, Gianluca, 2015. "Human-mobility networks, country income, and labor productivity," Network Science, Cambridge University Press, vol. 3(3), pages 377-407, September.
    4. Esmeralda Kadëna, 2017. "Password Based Cryptography," Proceedings- 11th International Conference on Mangement, Enterprise and Benchmarking (MEB 2017),, Óbuda University, Keleti Faculty of Business and Management.
    5. Chen, Zhuo & Gao, Jianxi & Cai, Yunze & Xu, Xiaoming, 2011. "Evolution of cooperation among mobile agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1615-1622.

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