scholarly journals Privacy-Enhanced Participatory Sensing with Collusion Resistance and Data Aggregation

2014 ◽  
pp. 321-336 ◽  
Author(s):  
Felix Günther ◽  
Mark Manulis ◽  
Andreas Peter
Keyword(s):  
Data Aggregation ◽  
Participatory Sensing ◽  
Collusion Resistance

scholarly journals A Collusion-Resistant and Privacy-Preserving Data Aggregation Protocol in Crowdsensing System

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Chang Xu ◽  
Xiaodong Shen ◽  
Liehuang Zhu ◽  
Yan Zhang
Keyword(s):  
Theoretical Analysis ◽  
Private Information ◽  
Data Aggregation ◽  
Smart Devices ◽  
Collusion Attack ◽  
Collusion Resistance ◽  
Collusion Attacks ◽  
Sensing Data ◽  
Existing Problems ◽  
Low Costs

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.

An Overview of Data Aggregation Architecture for Real-Time Tracking with Sensor Networks

2006 ◽  
Author(s):  
Tian He ◽  
Lin Gu ◽  
Liqian Luo ◽  
Ting Yan ◽  
John A. Stankovic ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Real Time ◽  
Data Aggregation ◽  
Real Time Tracking
Sign in / Sign up

Export Citation Format

Share Document