A peer-to-peer spatial cloaking algorithm for anonymous location-based service
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
PRIVE: anonymous location-based queries in distributed mobile systems
Proceedings of the 16th international conference on World Wide Web
Private queries in location based services: anonymizers are not necessary
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
SPIRAL: A Scalable Private Information Retrieval Approach to Location Privacy
MDMW '08 Proceedings of the 2008 Ninth International Conference on Mobile Data Management Workshops
Louis, Lester and Pierre: three protocols for location privacy
PET'07 Proceedings of the 7th international conference on Privacy enhancing technologies
In-Device Spatial Cloaking for Mobile User Privacy Assisted by the Cloud
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
Achieving efficient query privacy for location based services
PETS'10 Proceedings of the 10th international conference on Privacy enhancing technologies
A Security Framework of Group Location-Based Mobile Applications in Cloud Computing
ICPPW '11 Proceedings of the 2011 40th International Conference on Parallel Processing Workshops
Towards secure mobile cloud computing: A survey
Future Generation Computer Systems
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Mobile cloud computing (MCC) is an emerging trend which combines the benefits of cloud computing with the mobile devices. This new technology not only offers tremendous computing power and storage to the mobile devices with limited processing and storage capabilities but also increases the affordability and reliability. Despite providing various benefits, MCC is still in its early stages in providing trust guarantees to a user. Location-Based Services (LBS), on the other hand, are those services which operate on a user's location to provide him/her services such as finding nearby restaurants, hospitals, bus terminal and ATMs, to name a few. While a user's location is mandatory for LBS to work, it imposes serious threats to the user's privacy. In this paper we propose a privacy preserving cloud-based computing architecture for using location-based services. On one hand, our architecture provides a secure mechanism for using LBS services anonymously while on the other hand it utilizes untrusted but fast and reliable cloud services for its implementation in an efficient and effective manner. Moreover, we provide various attack scenarios and show that how our architecture preserves the privacy of the user and is difficult to compromise.