Title
A Reputation System Resilient Against Colluding And Malicious Adversaries In Mobile Participatory Sensing Applications
Abstract
Participatory sensing is an emerging paradigm in which citizens voluntarily use their mobile phones to capture and share sensed data from their surrounding environment in order to monitor and analyze some phenomena. Participating users can disrupt the system by contributing corrupted, fabricated, or erroneous data. Different reputation systems have been proposed to monitor participants' behavior and to estimate their honesty. There are some attacks that were not considered by the existing reputation systems in this context including corruption, collusion, and on-off attack. In this paper, we propose a more robust and efficient reputation system designed for these applications. Our reputation system incorporates a mechanism to defend against those attacks. Experimental results indicate that our system can tolerate up to 60% of colluding adversaries involved in the sensing campaign. This enables our system to aggregate the data more accurately compared with the state-of-the art. Moreover, the system can detect on-off attackers even if they strategically contribute some good data with high probability (e.g. 0.8).
Year
Venue
Field
2017
2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC)
Reputation system,Computer science,Computer security,Honesty,Server,Computer network,Atmospheric measurements,Participatory sensing,Corruption,Collusion,Reputation
DocType
ISSN
Citations 
Conference
2331-9852
0
PageRank 
References 
Authors
0.34
15
6
Name
Order
Citations
PageRank
Hayam Mousa1101.27
Sonia Ben Mokhtar259644.86
Omar Hasan312013.39
Lionel Brunie4686126.62
Osama Younes5363.78
Mohiy M. Hadhoud600.34