Title
A Collusion-Resistant and Privacy-Preserving Data Aggregation Protocol in Crowdsensing System.
Abstract
With the pervasiveness and increasing capability of smart devices, mobile crowdsensing has been applied in more and more practical scenarios and provides a more convenient solution with low costs for existing problems. In this paper, we consider an untrusted aggregator collecting a group of users' data, in which personal private information may be contained. Most previous work either focuses on computing particular functions based on the sensing data or ignores the collusion attack between users and the aggregator. We design a new protocol to help the aggregator collect all the users' raw data while resisting collusion attacks. Specifically, the bitwise XOR homomorphic functions and aggregate signature are explored, and a novel key system is designed to achieve collusion resistance. In our system, only the aggregator can decrypt the ciphertext. Theoretical analysis shows that our protocol can capture k-source anonymity. In addition, extensive experiments are conducted to demonstrate the feasibility and efficiency of our algorithms.
Year
DOI
Venue
2017
10.1155/2017/3715253
MOBILE INFORMATION SYSTEMS
Field
DocType
Volume
Homomorphic encryption,News aggregator,Computer security,Computer science,Computer network,Encryption,Anonymity,Ciphertext,Private information retrieval,Data aggregator,Collusion
Journal
2017
ISSN
Citations 
PageRank 
1574-017X
0
0.34
References 
Authors
6
4
Name
Order
Citations
PageRank
Chang Xu110420.34
Xiaodong Shen2869.75
Liehuang Zhu363896.00
Yan Zhang421.38