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MobChain: Three-Way Collusion Resistance in Witness-Oriented Location Proof Systems Using Distributed Consensus.

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Summary
This summary is machine-generated.

MobChain introduces a decentralized consensus protocol to secure location proof systems (LPS). This blockchain-based approach prevents three-way collusion, enhancing the reliability of location-based services (LBS) on smart devices.

Keywords:
blockchainlocalizationlocation prooflocation provenancelocation-based services (LBS)

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Distributed Systems

Background:

  • Smart devices necessitate reliable geolocation information for location-based services (LBS).
  • Existing witness-oriented location proof systems (LPS) are vulnerable to three-way collusion attacks.
  • Tampering of location proof by users compromises the integrity of LBS.

Purpose of the Study:

  • To introduce a novel decentralized consensus protocol, MobChain, to address three-way collusion in LPS.
  • To enhance the security and reliability of geolocation identification in smart devices.
  • To provide a robust architecture for secure location provenance.

Main Methods:

  • Developed MobChain, a decentralized consensus protocol utilizing a private blockchain.
  • Implemented a P2P network for distributed consensus on witness and location authority selection.
  • Leveraged persistent provenance data on the blockchain for tamper-proof location records.

Main Results:

  • MobChain effectively mitigates three-way collusion attacks by decentralizing participant selection.
  • The blockchain architecture ensures persistent and immutable location provenance data.
  • Prototype implementation demonstrates computational efficiency and high availability.

Conclusions:

  • MobChain offers a secure and practical solution for location proof systems, overcoming limitations of existing schemes.
  • Decentralized decision-making in MobChain enhances the trustworthiness of LBS.
  • The proposed system significantly improves the security of geolocation identification against manipulation.