Award Abstract #0716744
An Integrated Solution to Provide Privacy, Confidentiality, Integrity and Reliability Protection for Sensor Data Management

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	September 5, 2007
Latest Amendment Date:	May 6, 2008
Award Number:	0716744
Award Instrument:	Standard Grant
Program Manager:	Karl N. Levitt CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	September 1, 2007
Expires:	August 31, 2010 (Estimated)
Awarded Amount to Date:	$256000
Investigator(s):	Wensheng Zhang wzhang@iastate.edu (Principal Investigator) Johnny Wong (Co-Principal Investigator) Daji Qiao (Co-Principal Investigator)
Sponsor:	Iowa State University 1138 Pearson AMES, IA 50011 515/294-5225
NSF Program(s):	ITR-CYBERTRUST, CYBER TRUST
Field Application(s):	0000912 Computer Science
Program Reference Code(s):	HPCC, 9251, 9218, 9178
Program Element Code(s):	7456, 7371

ABSTRACT

Widely deployed for military and civilian applications, sensor networks have become an indispensable segment of national cyber infrastructure. In sensor networks, sensor nodes sense continuously and generate data to describe the environment; once data have been generated, an essential mission of the network is to manage sensor data such that useful data are stored safely and authorized users can have access to data of their interest. Meanwhile, sensor nodes are usually deployed in unattended even hostile environments, and they typically lack tamper resistance. As such, sensor data management is susceptible to various security attacks. Although a few schemes have been proposed against selected attacks, the limitations are also salient: lacking protection for emerging sensor data management approaches, disrupting normal data management operations, high overhead, lack of adaptability to balance security level and system overhead, and no systematic solutions to counter multiple types of attacks at the same time. To address these issues, this project is to design an integrated solution to provide novel privacy, confidentiality, integrity and reliability protection for sensor data management. It includes four components: location privacy protection, data confidentiality protection, data integrity protection and data reliability protection. These components will be integrated together via a carefully-designed hierarchical and modular software structure, and to be evaluated through a combination of model checking, simulation, and implementation on a sensor network testbed. The project will contribute to the development of innovative solutions for protecting sensor networks, training of a diverse cadre of young scientists, students and professionals in wireless networking and security, and most importantly enhanced cyber infrastructure security.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Chuang Wang, Taiming Feng, Jinsook Kim, Guiling Wang, and Wensheng Zhang. "Catching Packet Droppers and Modifiers in Wireless Sensor Networks," IEEE SECON, 2009.

Ka Yang, Nalin Subramanian, Daji Qiao, and Wensheng Zhang. "EagleVision: A Pervasive Mobile Device Protection System," The Sixth Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Service (Mobiquitous), 2009.

Nalin Subramanian, Chanjun Yang, and Wensheng Zhang. "Securing Distributed Data Storage and Retrieval in Sensor Networks," Pervasive and Mobile Computing Journal, Elsevier, 2007.

Nalin Subramanian, Ka Yang, Wensheng Zhang, and Daji Qiao. "ElliPS: A Privacy Preserving Scheme for Sensor Data Storage and Query," IEEE INFOCOM, 2009.

Taiming Feng, Chuang Wang, Wensheng Zhang, and Lu Ruan. "Confidentiality Protection Schemes for Data Aggregation in Sensor Networks," IEEE INFOCOM, 2008.

Vinod Shukla and Daji Qiao. "A Robust Statistical Scheme to Monitor Transient Phenomenon in Sensor Networks," IEEE ICC, 2007.

Vinod Shukla and Daji Qiao. "Distinguishing Data Transience from False Injection in Sensor Networks," IEEE SECON, 2007.

Wensheng Zhang, Chuang Wang, and Taiming Feng. "GP^2S: Generic Privacy-Preservation Solutions for Approximate Aggregation of Sensor Data," IEEE International Conference on Pervasive Computing and Communications (PerCom), 2008.

Wensheng Zhang, Nalin Subramanian, and Guiling Wang. "Lightweight and Compromise-Resilient Message Authentication in Sensor Networks," IEEE INFOCOM, 2008.

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