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A New MANET wormhole detection algorithm based on traversal time and hop count analysis.

Jonny Karlsson1, Laurence S Dooley, Göran Pulkkis

  • 1Department of Communication and Systems, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK. karlssoj@arcada.fi

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|January 17, 2012
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Summary

This study introduces Traversal Time and Hop Count Analysis (TTHCA) for detecting wormhole attacks in Mobile Ad hoc Networks (MANETs). TTHCA offers superior detection and low false positives, making it ideal for resource-constrained MANETs.

Keywords:
DelPHIMANETMANET securityMHAWAPhop countmobile networksrouting securitytraversal timewormhole attack

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Area of Science:

  • Computer Science
  • Network Security
  • Wireless Communication

Background:

  • Mobile Ad hoc Networks (MANETs) are increasingly popular due to their infrastructure-less and self-configuring nature.
  • MANET routing security is a significant challenge, with wormhole attacks posing a severe threat due to their difficulty in detection and impact on network traffic.
  • Existing wormhole detection methods often struggle with accuracy and efficiency in dynamic MANET environments.

Purpose of the Study:

  • To introduce a novel wormhole detection paradigm for MANETs.
  • To evaluate the effectiveness of the proposed Traversal Time and Hop Count Analysis (TTHCA) method against existing algorithms.
  • To provide a robust and efficient solution for securing MANET routing protocols against wormhole attacks.

Main Methods:

  • The study proposes a new detection paradigm based on Traversal Time and Hop Count Analysis (TTHCA).
  • The TTHCA model analyzes network traffic patterns to identify anomalies indicative of wormhole attacks.
  • Performance was evaluated through simulations in various network scenarios.

Main Results:

  • The TTHCA model demonstrated superior wormhole detection performance compared to existing algorithms.
  • The proposed method achieved consistently low false positive rates across different wormhole variants.
  • Simulations confirmed the robustness of TTHCA in diverse network conditions.
  • The TTHCA model incurred only a small network overhead.

Conclusions:

  • Traversal Time and Hop Count Analysis (TTHCA) presents a highly effective solution for detecting wormhole attacks in MANETs.
  • The low overhead and high accuracy of TTHCA make it suitable for resource-constrained devices common in MANETs, such as wireless sensors.
  • This paradigm enhances the security and reliability of MANET routing protocols.