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Mobile Botnet Detection Using Network Forensics

  • Ickin Vural
  • Hein Venter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6369)

Abstract

Malicious software (malware) infects large numbers of computers around the world. This malware can be used to promote unwanted products, disseminate offensive content, or provide unauthorized access to personal and financial information. Until recently mobile networks have been relatively isolated from the Internet, so there has been little need to protect them against Botnets. Mobile networks are now well integrated with the internet, so threats on the internet such as Botnets have started to migrate onto mobile networks. Botnets on mobile devices will probably appear very soon, there are already signs that this is happening. This paper studies the potential threat of Botnets based on mobile networks, and proposes the use of computational intelligence techniques to detect Botnets. We then simulate anomaly detection followed by an interpretation of the simulated values.

Keywords

Botnet mobile malware computational intelligence network forensics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ickin Vural
    • 1
  • Hein Venter
    • 1
  1. 1.Department of Computer ScienceUniversity of PretoriaPretoria

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