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Source Anonymity in WSNs against Global Adversary Utilizing Low Transmission Rates with Delay Constraints
Anas Bushnag1, Abdelshakour Abuzneid2, Ausif Mahmood3
1Computer Science and Engineering Department, University of Bridgeport, Bridgeport, CT 06604, USA. abushnag@my.bridgeport.edu.
Sensors (Basel, Switzerland)
|June 30, 2016
Summary
This study introduces three new methods (DUD, DAD, CAD) to enhance source location privacy in wireless sensor networks (WSN). These techniques improve anonymity by confusing adversaries about the real event
Area of Science:
- Computer Science
- Network Security
- Information Theory
Background:
- Wireless Sensor Networks (WSN) are crucial for applications like species tracking and military operations.
- Maintaining Source Location Privacy (SLP) is essential to prevent unauthorized tracing of event origins in WSNs.
- Existing SLP methods, like Fortified Anonymous Communication Protocol (FACP), are often inefficient due to high packet transmission rates.
Purpose of the Study:
- To develop novel techniques for enhancing Source Location Privacy (SLP) in Wireless Sensor Networks (WSN).
- To address the limitations of current SLP approaches by introducing more efficient anonymity strategies.
- To protect against global adversaries capable of monitoring the entire network.
Main Methods:
- Introduction of three new techniques: Dummy Uniform Distribution (DUD), Dummy Adaptive Distribution (DAD), and Controlled Dummy Adaptive Distribution (CAD).
- These methods focus on confusing adversaries about the existence of real events by introducing low-rate fake messages.
- Performance evaluation through simulations, analysis models, data visualization, neural network analysis, and a steganography model.
Main Results:
- The proposed DUD, DAD, and CAD techniques achieve a high level of anonymity against global adversaries.
- These methods maintain a reasonable delivery ratio, delay, and overhead for real event packets.
- Simulation results and various analysis models confirm the effectiveness and anonymity preservation of the proposed techniques.
Conclusions:
- The developed techniques (DUD, DAD, CAD) offer an efficient and effective solution for Source Location Privacy in WSNs.
- These methods provide a robust defense against adversaries by obfuscating the presence of real events.
- The study validates the proposed techniques through rigorous simulations and analytical models, confirming their ability to preserve SLP.
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