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Related Experiment Video

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SGO: Semantic Group Obfuscation for Location-Based Services in VANETS.

Ikram Ullah^1,2, Munam Ali Shah³

¹Department of Computer Science, City University of Science and Information Technology, Peshawar 25000, Pakistan.

Sensors (Basel, Switzerland)

|February 24, 2024

Summary

This summary is machine-generated.

Vehicular ad hoc networks face location privacy risks. The Semantic Group Obfuscation (SGO) technique enhances vehicle privacy by grouping similar vehicles and using random coordinates, significantly reducing overheads and improving anonymization.

Keywords:

VANETs anonymizations location obfuscation location privacy location-based services pseudonyms

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Area of Science:

Vehicular communication networks
Cybersecurity and privacy

Background:

Vehicular ad hoc networks (VANETs) require location privacy for services.
Location-Based Services (LBS) servers can compromise vehicle identity and track future movements.
Existing privacy methods inadequately use semantic location and pseudonym changes, increasing network overhead.

Purpose of the Study:

To propose a Semantic Group Obfuscation (SGO) technique for enhanced location privacy in VANETs.
To address limitations of existing methods in utilizing location semantics and pseudonym management.
To reduce network overheads associated with dummy location messages.

Main Methods:

Developed the Semantic Group Obfuscation (SGO) technique.
Grouped vehicles with similar statuses on the road.
Utilized random position coordinates for LBS communication.
Formally modeled SGO using High-Level Petri Nets (HLPNs).

Main Results:

SGO improves vehicle anonymization and entropy.
The technique reduces location traceability and network overheads (computation and communication costs) by 55% to 65%.
HLPN modeling confirmed the correctness and appropriateness of the SGO scheme.

Conclusions:

SGO offers a robust solution for location privacy in VANETs.
The proposed method effectively balances privacy protection with network efficiency.
SGO enhances security against adversaries by obfuscating vehicle location data.