CLIP: Continuous Location Integrity and Provenance for Mobile Phones

Lyu, Chen; Pande, Amit; Wang, Xinlei; Zhu, Jindan; Gu, Dawu; Mohapatra, Prasant

doi:10.1109/mass.2015.33

Cited by 13 publications

(15 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In QuietPlace we used the third technique, hash chains, to include all possible location granularity levels in the proof without redundant information. There are many different variations of hash chains used in proof of location protocols [1,2,4,16] all of which are compatible with our protocol. We used a simple hash chain as described in [24].…”

Section: Location Granularity Levelsmentioning

confidence: 99%

“…When there is a benefit from being at a specific location, the incentive to cheat the location-based service is created. In [1,2] authors mention Trusted Platform Module, a tamper-resistant hardware component that makes spoofing the reported location impossible. However, this is not currently available in commercial devices and has additional cost.…”

Section: Introductionmentioning

confidence: 99%

“…By using chains, the verifier can track the location history of a prover. Different schemes have been proposed [2,9,20,21] and some of them allow the prover to hide information from a proof in the chain without being able to hide the existence of a proof completely.…”

mentioning

confidence: 99%

See 2 more Smart Citations

QuietPlace: An Ultrasound-Based Proof of Location Protocol with Strong Identities

Kounas

Voutyras

Palaiokrassas

et al. 2020

ASI

View full text Add to dashboard Cite

Location-based services are becoming extremely popular due to the widespread use of smartphones and other mobile and portable devices. These services mainly rely on the sincerity of users, who can spoof the location they report to them. For applications with higher security requirements, the user should be unable to report a location different than the real one. Proof of Location protocols provide a solution to secure localization by validating the device's location with the help of nearby nodes. We propose QuietPlace, a novel protocol that is based on ultrasound and provides strong identities, proving the location of the owner of a device, without exposing though their identity. QuietPlace provides unforgeable proof that is able to resist to various attacks while respecting the users' privacy. It can work regardless of certificate authority and location-based service and is able to support trust schemas that evaluate the participants' behavior. We implement and validate the protocol for Android devices, showing that ultrasound-based profiles offer a better performance in terms of maximum receiving distance than audible profiles, and discuss its strengths and weaknesses, making suggestions about future work.

show abstract

Section: Location Granularity Levelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

QuietPlace: An Ultrasound-Based Proof of Location Protocol with Strong Identities

Kounas

Voutyras

Palaiokrassas

et al. 2020

ASI

View full text Add to dashboard Cite

show abstract

“…It requires low cost of computational and storage resources while implements on iOS platform. We also preferred [7] [8] [9] [10] papers for the reference and getting good conclusion.…”

Section: In Davis Et Al's [4]mentioning

confidence: 99%

STAMP: Enabling Location Privacy for Mobile Users While Using Public Wi-Fi

Davis¹

2018

IJRASET

View full text Add to dashboard Cite

Today location based services are becoming more popular. Majority of the applications are based on user's current location. So there may be some malicious users rely on that application. The malicious can access our location. In this paper we propose a Spatial Temporal Provenance Assurance with Mutual Proofs (STAMP). It is used for ad-hoc mobile users generating location proofs in distributed settings. It is accommodating wireless access points and trusted mobile users. It ensures integrity and non-transferability as well as protecting user's privacy. A semi trusted CA is used for cryptographic key distribution as well as guard uses against collusion by a light-entropy based trust model. It's implementation on IoS platform shows that it requires low cost in terms of computational and storage resources.

show abstract

“…Amidst numerous literature, there is discussion on the fairly narrow topic of Proof-of-Location (PoL) [6][7][8] as a technology specifically useful at network edge, as it makes it possible for the various location-aware services to connect users to verifiable locations, while at the same time allowing users to retain their privacy. Note that PoL is not an alternative to Proof-of-Work (PoW) or Proof-of-Stake (PoS)-the two low-level approaches to attaining consensus in distributed multiparty transactions.…”

Section: Introductionmentioning

confidence: 99%

The Last Man Standing Technique for Proof-of-Location in IoT Infrastructures at Network Edge

Zhanikeev

2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

This paper is divided in two parts. The first part is the story of a failure, where an attempt to generate verifiable Proof-of-Location from WiFi scan results has failed, even when scan results were compared with a small time shift within the same trace. In the second part, this paper proposes to conduct Proof-of-Location transactions in a peer-to-peer fashion. Each peer is assisted by the cloud side which plays the role of both the real-time mediator and public transaction ledger. This paper proposes the Last Man Standing (LMS) procedure which is both a means for ensuring a fair transaction and a natural way to close it. Each transaction results in a coin which can be either shared among transaction participants or owned individually by LMS. Analysis using real mobility traces from various types of urban locations shows that the proposal is valid and will ensure that all the locations within the city will gradually be claimed via the proposed type of transactions while providing independently verifiable proofs for each location. The distant goal of this paper is a next generation Location-Based Service (LBS) which takes the form of a location-based resource economy where each location is a coin compatible with traditional blockchain operations.

show abstract

CLIP: Continuous Location Integrity and Provenance for Mobile Phones

Cited by 13 publications

References 17 publications

QuietPlace: An Ultrasound-Based Proof of Location Protocol with Strong Identities

QuietPlace: An Ultrasound-Based Proof of Location Protocol with Strong Identities

STAMP: Enabling Location Privacy for Mobile Users While Using Public Wi-Fi

The Last Man Standing Technique for Proof-of-Location in IoT Infrastructures at Network Edge

Contact Info

Product

Resources

About