Enabling secure location-based services in mobile cloud computing

Zhu, Yan; Ma, Di; Huang, Dijiang; Hu, Changjun

doi:10.1145/2491266.2491272

Cited by 28 publications

(14 citation statements)

References 16 publications

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“…In this kind of solutions [27], [28], one or more third parties relay messages between users and the LBS provider. This approach hides the linkage between user identities and messages from the LBS provider.…”

Section: B Solutions For Public Lbs Onlymentioning

confidence: 99%

EPLQ: Efficient Privacy-Preserving Location-Based Query Over Outsourced Encrypted Data

Huang

2016

IEEE Internet Things J.

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With the pervasiveness of smart phones, locationbased services (LBS) have received considerable attention and become more popular and vital recently. However, the use of LBS also poses a potential threat to user's location privacy. In this paper, aiming at spatial range query, a popular LBS providing information about POIs (Points Of Interest) within a given distance, we present an efficient and privacy-preserving location based query solution, called EPLQ. Specifically, to achieve privacypreserving spatial range query, we propose the first predicateonly encryption scheme for inner product range, which can be used to detect whether a position is within a given circular area in a privacy-preserving way. To reduce query latency, we further design a privacy-preserving tree index structure in EPLQ. Detailed security analysis confirms the security properties of EPLQ. In addition, extensive experiments are conducted, and the results demonstrate that EPLQ is very efficient in privacypreserving spatial range query over outsourced encrypted data. In particular, for a mobile LBS user using an Android phone, around 0.9 second is needed to generate a query; and it also only requires a commodity workstation, which plays the role of the cloud in our experiments, a few seconds to search POIs.

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Section: B Solutions For Public Lbs Onlymentioning

confidence: 99%

EPLQ: Efficient Privacy-Preserving Location-Based Query Over Outsourced Encrypted Data

Huang

2016

IEEE Internet Things J.

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“…[48,49]. However, the development of a fully efficient and secure authentication protocol has proven to be a difficult task to achieve due to the limitations of smart card resources, e.g., battery life and storage capacity [50].…”

Section: Smart Card With Password Based Methodsmentioning

confidence: 99%

D-FAP: Dual-Factor Authentication Protocol for Mobile Cloud Connected Devices

Abuarqoub

2019

JSAN

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Emerging Mobile Cloud Computing (MCC) technologies offer a new world of promise by leveraging the quality of mobile services. With MCC, resource-constrained mobile devices could capitalize on the computation/storage resources of cloud servers via communication networks. While MCC adoption is growing significantly, several challenges need to be addressed to make MCC-based solutions scale and meet the ever-growing demand for more resource intensive applications. Security is a critical problem hindering the adoption of MCC. One of the most important aspects of MCC security is to establish authenticated communication sessions between mobile devices and cloud servers. The huge amount of data stored on mobile devices poses information security risks and privacy concerns for individuals, enterprises, and governments. The ability to establish authenticated communication sessions between mobile devices and cloud servers can resolve many security concerns. Limited computing and energy resources on mobile devices makes authentication and encryption a challenging task. In this paper, an overview of MCC authentication protocols is presented. Then, a Dual-Factor Authentication Protocol for MCC devices (D-FAP) is proposed. D-FAP aims at increasing authentication security by using multi-factors while offloading computation to the cloud to reduce battery consumption. The security of the protocol is formally verified and informal analysis is performed for various attacks. The results prove that the D-FAP is successful in mitigating various outsider and insider attacks.

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“…There are some literatures about this problem. Firstly, a spatiotemporal predicate-based encryption is proposed for fine-grained access control [21]. Then an improved homomorphic encryption [11] is proposed to protect users' privacy and LBS data privacy.…”

Section: Distance Comparison Operatormentioning

confidence: 99%

An Efficient and Privacy-Preserving Multiuser Cloud-Based LBS Query Scheme

Yin

Qin

et al. 2018

Security and Communication Networks

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Location-based services (LBSs) are increasingly popular in today's society. People reveal their location information to LBS providers to obtain personalized services such as map directions, restaurant recommendations, and taxi reservations. Usually, LBS providers offer user privacy protection statement to assure users that their private location information would not be given away. However, many LBSs run on third-party cloud infrastructures. It is challenging to guarantee user location privacy against curious cloud operators while still permitting users to query their own location information data. In this paper, we propose an efficient privacy-preserving cloud-based LBS query scheme for the multiuser setting. We encrypt LBS data and LBS queries with a hybrid encryption mechanism, which can efficiently implement privacy-preserving search over encrypted LBS data and is very suitable for the multiuser setting with secure and effective user enrollment and user revocation. This paper contains security analysis and performance experiments to demonstrate the privacy-preserving properties and efficiency of our proposed scheme.

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Enabling secure location-based services in mobile cloud computing

Cited by 28 publications

References 16 publications

EPLQ: Efficient Privacy-Preserving Location-Based Query Over Outsourced Encrypted Data

EPLQ: Efficient Privacy-Preserving Location-Based Query Over Outsourced Encrypted Data

D-FAP: Dual-Factor Authentication Protocol for Mobile Cloud Connected Devices

An Efficient and Privacy-Preserving Multiuser Cloud-Based LBS Query Scheme

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