I Am Alice, I Was in Wonderland: Secure Location Proof Generation and Verification Protocol

2016 ◽  
Author(s):  
Chitra Javali ◽  
Girish Revadigar ◽  
Kasper B. Rasmussen ◽  
Wen Hu ◽  
Sanjay Jha
Keyword(s):  
Location Proof

Privacy-preserving distributed location proof generating system

2016 ◽  
Vol 13 (3) ◽  
pp. 203-218 ◽  
Author(s):  
Liu Mengjun ◽  
Liu Shubo ◽  
Zhang Rui ◽  
Li Yongkai ◽  
Wang Jun ◽  
...  
Keyword(s):  
Privacy Preserving ◽  
Generating System ◽  
Location Proof

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

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1776
Author(s):  
Faheem Zafar ◽  
Abid Khan ◽  
Adeel Anjum ◽  
Carsten Maple ◽  
Munam Ali Shah
Keyword(s):  
Comparative Analysis ◽  
Internet Of Things ◽  
Asset Management ◽  
Location Based Services ◽  
Smart Devices ◽  
Proof Systems ◽  
Health Care Supply ◽  
The Common ◽  
Health Care Supply Chain ◽  
Location Proof

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.

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

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5096
Author(s):  
Faheem Zafar ◽  
Abid Khan ◽  
Saif Ur Rehman Malik ◽  
Mansoor Ahmed ◽  
Carsten Maple ◽  
...  
Keyword(s):  
Location Based Services ◽  
Smart Devices ◽  
Smart Device ◽  
Distributed Consensus ◽  
Consensus Protocol ◽  
Collusion Attacks ◽  
Proof Systems ◽  
Decentralized Decision Making ◽  
Selection Of ◽  
Location Proof

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.

Sign in / Sign up

Export Citation Format

Share Document