MobChain: Three-Way Collusion Resistance in Witness-Oriented Location Proof Systems Using Distributed Consensus
| Autor: | Saif Ur Rehman Malik, Mansoor Ahmed, Carsten Maple, Faheem Zafar, Adeel Anjum, Abid Khan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
blockchain
Consensus Computer science Smart device Decentralized decision-making 02 engineering and technology location provenance TP1-1185 Computer security computer.software_genre Mathematical proof Biochemistry Article localization Analytical Chemistry law.invention location proof law 0202 electrical engineering electronic engineering information engineering Humans Electrical and Electronic Engineering Instrumentation Protocol (object-oriented programming) location-based services (LBS) Chemical technology 020206 networking & telecommunications Atomic and Molecular Physics and Optics Geolocation Identification (information) Collusion 020201 artificial intelligence & image processing computer |
| Zdroj: | Sensors, Vol 21, Iss 5096, p 5096 (2021) Sensors (Basel, Switzerland) Sensors Volume 21 Issue 15 |
| ISSN: | 1424-8220 |
| Popis: | Smart devices have accentuated the importance of geolocation information. Geolocation identification using smart devices has paved the path for incentive-based location-based services (LBS). However, a user’s full control over a smart device can allow tampering of the location proof. Witness-oriented location proof systems (LPS) have emerged to resist the generation of false proofs and mitigate collusion attacks. However, witness-oriented LPS are still susceptible to three-way collusion attacks (involving the user, location authority, and the witness). To overcome the threat of three-way collusion in existing schemes, we introduce a decentralized consensus protocol called MobChain in this paper. In this scheme the selection of a witness and location authority is achieved through a distributed consensus of nodes in an underlying P2P network that establishes a private blockchain. The persistent provenance data over the blockchain provides strong security guarantees as a result, the forging and manipulation of location becomes impractical. MobChain provides secure location provenance architecture, relying on decentralized decision making for the selection of participants of the protocol thereby addressing the three-way collusion problem. Our prototype implementation and comparison with the state-of-the-art solutions show that MobChain is computationally efficient and highly available while improving the security of LPS. |
| Databáze: | OpenAIRE |
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