LOF: identifying density-based local outliers
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Performance analysis of the CONFIDANT protocol
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Core: a collaborative reputation mechanism to enforce node cooperation in mobile ad hoc networks
Proceedings of the IFIP TC6/TC11 Sixth Joint Working Conference on Communications and Multimedia Security: Advanced Communications and Multimedia Security
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
Proceedings of the 4th workshop on Embedded networked sensors
The BikeNet mobile sensing system for cyclist experience mapping
Proceedings of the 5th international conference on Embedded networked sensor systems
Reputation-based framework for high integrity sensor networks
ACM Transactions on Sensor Networks (TOSN)
Micro-Blog: sharing and querying content through mobile phones and social participation
Proceedings of the 6th international conference on Mobile systems, applications, and services
Location-based trust for mobile user-generated content: applications, challenges and implementations
Proceedings of the 9th workshop on Mobile computing systems and applications
Automatic Collection of Fuel Prices from a Network of Mobile Cameras
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
Proceedings of the 6th ACM conference on Embedded network sensor systems
Enabling new mobile applications with location proofs
Proceedings of the 10th workshop on Mobile Computing Systems and Applications
LiveCompare: grocery bargain hunting through participatory sensing
Proceedings of the 10th workshop on Mobile Computing Systems and Applications
Toward trustworthy mobile sensing
Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
I am a sensor, and I approve this message
Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
Ear-phone: an end-to-end participatory urban noise mapping system
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Towards trustworthy participatory sensing
HotSec'09 Proceedings of the 4th USENIX conference on Hot topics in security
A survey of mobile phone sensing
IEEE Communications Magazine
Are you contributing trustworthy data?: the case for a reputation system in participatory sensing
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Reputation systems for open collaboration
Communications of the ACM
A survey on privacy in mobile participatory sensing applications
Journal of Systems and Software
Recruitment framework for participatory sensing data collections
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
A Reputation Framework for Social Participatory Sensing Systems
Mobile Networks and Applications
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The continual advancement in semiconductor technology has enabled vendors to integrate an increasing number of sensors, e.g., accelerometer, gyroscope, digital compass, high resolution cameras and others, in modern mobile phones. Combining with the ever expanding market penetration of mobile phones, the onboard sensors are driving the sensing community towards a new paradigm called participatory sensing in which ordinary citizens voluntarily collect and share information from their local environment using personal mobile devices. The inherent openness of this platform is a double-edged sword. While encouraging user participation on the one hand, it also makes it easy to contribute corrupted data. As such, data trustworthiness becomes a key issue which needs to be addressed to ensure sustainable development of this emerging paradigm. In this paper, we propose a reputation system in which a reputation score is calculated for each device as a reflection of the trustworthiness of its sensor data. We adopt the Gompertz function as a fundamental building block of our system, since it is better suited to deal with the unique characteristics of participatory sensing. We present an application-agnostic implementation of the system, which can work with a wide variety of participatory sensing applications. We evaluate the performance of our reputation system in the context of two real-world participatory sensing applications. Our results show that the proposed reputation system outperforms existing solutions by up to a factor of six.