Comprehensive review: Privacy protection of user in location-aware services of mobile cloud computing

Z A. Almusaylim, NZ Jhanjhi - Wireless Personal Communications, 2020 - Springer
One of the recent trends of networking and mobile technology is mobile cloud computing
(MCC) that provides rich computational, storage resources and services in clouds to mobile …

Efficient location privacy algorithm for Internet of Things (IoT) services and applications

G Sun, V Chang, M Ramachandran, Z Sun, G Li… - Journal of Network and …, 2017 - Elsevier
Location-based Services (LBS) have become a very important area for research with the
rapid development of Internet of Things (IoT) technology and the ubiquitous use of …

Control cloud data access privilege and anonymity with fully anonymous attribute-based encryption

T Jung, XY Li, Z Wan, M Wan - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Cloud computing is a revolutionary computing paradigm, which enables flexible, on-
demand, and low-cost usage of computing resources, but the data is outsourced to some …

Privacy preserving cloud data access with multi-authorities

T Jung, XY Li, Z Wan, M Wan - 2013 Proceedings IEEE …, 2013 - ieeexplore.ieee.org
Cloud computing is a revolutionary computing paradigm which enables flexible, on-demand
and low-cost usage of computing resources. Those advantages, ironically, are the causes of …

Achieving differential privacy of data disclosure in the smart grid

J Zhao, T Jung, Y Wang, X Li - IEEE INFOCOM 2014-IEEE …, 2014 - ieeexplore.ieee.org
The smart grid introduces new privacy implications to individuals and their family due to the
fine-grained usage data collection. For example, smart metering data could reveal highly …

Privacy-preserving COVID-19 contact tracing app: a zero-knowledge proof approach

JK Liu, MH Au, TH Yuen, C Zuo, J Wang… - Cryptology ePrint …, 2020 - eprint.iacr.org
In this paper, we propose a privacy-preserving contact tracing protocol for smart phones,
and more specifically Android and iOS phones. The protocol allows users to be notified, if …

FINE: A fine-grained privacy-preserving location-based service framework for mobile devices

J Shao, R Lu, X Lin - IEEE INFOCOM 2014-IEEE Conference …, 2014 - ieeexplore.ieee.org
In this paper, we propose a fine-grained privacy-preserving location-based service (LBS)
framework, called FINE, for mobile devices. It adopts the data-as-a-service (DaaS) model …

Privacy-preserving data aggregation without secure channel: Multivariate polynomial evaluation

T Jung, XF Mao, XY Li, SJ Tang… - 2013 Proceedings …, 2013 - ieeexplore.ieee.org
Much research has been conducted to securely outsource multiple parties' data aggregation
to an untrusted aggregator without disclosing each individual's privately owned data, or to …

Collusion-tolerable privacy-preserving sum and product calculation without secure channel

T Jung, XY Li, M Wan - IEEE Transactions on Dependable and …, 2014 - ieeexplore.ieee.org
Much research has been conducted to securely outsource multiple parties' data aggregation
to an untrusted aggregator without disclosing each individual's privately owned data, or to …

Blind filtering at third parties: An efficient privacy-preserving framework for location-based services

J Chen, K He, Q Yuan, M Chen, R Du… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Location-based service (LBS) has gained increasing popularity recently, but protecting
users' privacy in LBS remains challenging. Depending on whether a trusted third party (TTP) …