Captcha Your Location Proof—A Novel Method for Passive Location Proofs in Adversarial Environments

Bucher, Dominik; Rudi, David; Buffat, René

doi:10.1007/978-3-319-71470-7_14

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…Zugenmaier et al [ 37 ] have introduced the “location stamps” concept utilizing cell phones. Dominik et al [ 38 ] have proposed a secure and tamper-resistance location proof system based on visual features and image recognition without overburdening the user.…”

Section: Related Workmentioning

confidence: 99%

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

Zafar

Khan

Malik

et al. 2021

Sensors

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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.

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Section: Related Workmentioning

confidence: 99%

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

Zafar

Khan

Malik

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…More recently, multiple blockchain-based location proof systems have been proposed [24,25]. Bucher et al [46] proposed a secure and tamper-resistant location proof system based on visual features and image recognition provision without over-burdening the user.…”

Section: Evolution Timeline Of Location Proof Systemsmentioning

confidence: 99%

Location Proof Systems for Smart Internet of Things: Requirements, Taxonomy, and Comparative Analysis

et al. 2020

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In the current hyper-connected, data-driven era, smart devices are providing access to geolocation information, enabling a paradigm shift in diverse domains. Location proof systems utilize smart devices to provide witnessed proof of location to enable secure location-based services (LBS). Applications of location proof systems include safety, asset management and operations monitoring in health care, supply chain tracking, and Internet-of-Things (IoT)-based location intelligence in businesses. In this paper, we investigate the state of the art in location proof systems, examining design challenges and implementation considerations for application in the real world. To frame the analysis, we have developed a taxonomy of location proof systems and performed a comparative analysis over the common attributes, highlighting their strength and weaknesses. Furthermore, we have identified future trends for this increasingly important area of investigation and development.

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PASPORT: A Secure and Private Location Proof Generation and Verification Framework

Nosouhi

Sood

et al. 2020

IEEE Trans. Comput. Soc. Syst.

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Captcha Your Location Proof—A Novel Method for Passive Location Proofs in Adversarial Environments

Cited by 3 publications

References 22 publications

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

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

Location Proof Systems for Smart Internet of Things: Requirements, Taxonomy, and Comparative Analysis

PASPORT: A Secure and Private Location Proof Generation and Verification Framework

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