Z
Zhipeng Cai
Researcher at Georgia State University
Publications - 331
Citations - 11454
Zhipeng Cai is an academic researcher from Georgia State University. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 50, co-authored 303 publications receiving 8692 citations. Previous affiliations of Zhipeng Cai include Florida State University College of Arts and Sciences & University of Alberta.
Papers
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Journal ArticleDOI
A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems
Zhipeng Cai,Xu Zheng +1 more
TL;DR: This article proposes a novel mechanism for data uploading in smart cyber-physical systems, which considers both energy conservation and privacy preservation, and proposes a heuristic algorithm that achieves an energy-efficient scheme for data upload by introducing an acceptable number of extra contents.
Journal ArticleDOI
Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networks
TL;DR: This paper explores how to launch an inference attack exploiting social networks with a mixture of non-sensitive attributes and social relationships, and proposes a data sanitization method collectively manipulating user profile and friendship relations to protect against inference attacks in social networks.
Journal ArticleDOI
Privacy-Preserved Data Sharing Towards Multiple Parties in Industrial IoTs
Xu Zheng,Zhipeng Cai +1 more
TL;DR: This paper proposes a privacy-preserved data sharing framework for IIoTs, where multiple competing data consumers exist in different stages of the system, and provides for both algorithms a comprehensive consideration on privacy, data utility, bandwidth efficiency, payment, and rationality for data sharing.
Proceedings ArticleDOI
Trading Private Range Counting over Big IoT Data
Zhipeng Cai,Zaobo He +1 more
TL;DR: A novel framework for trading range counting results is proposed and a pricing approach is proposed for the traded results, which is proved to be immune against arbitrage attacks and to achieve unbiasedness, bounded variance, and strengthened privacy guarantee under differential privacy.
Journal ArticleDOI
Cost-Efficient Strategies for Restraining Rumor Spreading in Mobile Social Networks
TL;DR: A heterogeneous-network-based epidemic model that incorporates the two kinds of methods to describe rumor spreading in MSNs is proposed that can restrain rumors in a continuous or periodical manner and guarantee cost efficiency.