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Secure aggregation in a publish-subscribe system
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Conference on Computer and Communications Security archive
Proceedings of the 7th ACM workshop on Privacy in the electronic society table of contents
Alexandria, Virginia, USA
SESSION: Data privacy table of contents
Pages 95-104  
Year of Publication: 2008
ISBN:978-1-60558-289-4
Authors
Kazuhiro Minami  University of Illinois at Urbana-Champaign, Urbana, IL, USA
Adam J. Lee  University of Pittsburgh, Pittsburgh, PA, USA
Marianne Winslett  University of Illinois at Urbana-Champaign, Urbana, IL, USA
Nikita Borisov  University of Illinois at Urbana-Champaign, Urbana, IL, USA
Sponsors
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

A publish-subscribe system is an information dissemination infrastructure that supports many-to-many communications among publishers and subscribers. In many publish-subscribe systems, in-network aggregation of input data is considered to be an important service that reduces the bandwidth requirements of the system significantly. In this paper, we present a scheme for securing the aggregation of inputs to such a publish-subscribe system. Our scheme, which focuses on the additive aggregate function, sum, preserves the confidentiality and integrity of aggregated data in the presence of untrusted routing nodes. Our scheme allows a group of publishers to publish aggregate data to authorized subscribers without revealing their individual private inputs to either the routing nodes or the subscribers. In addition, our scheme allows subscribers to verify that routing nodes perform the aggregation operation correctly. We use a message authentication code (MAC) scheme based on the discrete logarithm property to allow subscribers to verify the correctness of aggregated data without receiving the digitally-signed raw data used as input to the aggregation. In addition to describing our secure aggregation scheme, we provide formal proofs of its soundness and safety.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Waseem Ahmad and Ashfaq Khokhar. Secure aggregation in large scale overlay networks. Proceedings of the 49th Global Telecommunications Conference, pages 1--5, November 2006.
 
2
David E. Bakken, Carl H. Hauser, Harald Gjermundrod, and Anjan Bose. Towards more exible and robust data delivery for monitoring and control of the electric power grid. Technical Report TR-GS-009, Washington State University, May 2007.
3
 
4
5
6
 
7
Joao Girao, Markus Schneider, and Dirk Westhoff. On concealed data aggregation in wireless sensor networks. In Proceedings of IEEE International Conference on Communication, May 2005.
 
8
Stuart Haber, William Horne, Tomas Sander, and Danfeng Yao. Privacy-preserving verification of aggregate queries on outsourced databases. Technical Report HPL-2006--128, HP Labs, December 2006.
 
9
Wenbo He, Lue Liu, Hoang Nguyen, Klara Nahrstedt, and Tarek Abdelzaher. Pda: Privacy-preserving data aggregation in wireless sensor networks. 26th IEEE International Conference on Computer Communications, pages 2045--2053, May 2007.
 
10
 
11
Wolfgang Kastner, Georg Neugschwandtner, Stefan Soucek, and Michael H. Newmann. Communication systems for building automation and control. Proceedings of the IEEE, 93(6):1178--1203, June 2005.
12
 
13
14
 
15
 
16
 
17
 
18
19
 
20
Costin Raiciu and David S. Rosenblum. Enabling confidentiality in content-based publish/subscribe infrastructures. Securecomm and Workshops, pages 1--11, 2006.
 
21
 
22
Jr. Robert O. Burnett, Marc M. Butts, and Patrick S. Sterlina. Power system applications for phasor measurement units. Computer Applications in Power, IEEE, 7(1):8--13, 1994.
23
 
24
 
25
Robert Strom, Guruduth Banavar, Tushar Chandra, Marc Kaplan, Kevan Miller, Bodhi Mukherjee, Daniel Sturman, and Michael Ward. Gryphon: An information ow based approach to message brokering. In International Symposium on Software Reliability Engineering (ISSRE '98), November 1998.
 
26
Kevin Tomsovic, David E. Bakken, Vaithianathan Venkatasubramanian, and Anjan Bose. Designing the next generation of real-time control, communication, and computations for large power systems. Proceedings OF THE IEEE, 93(5):965--979, 2005.
27
 
28
 
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Collaborative Colleagues:
Kazuhiro Minami: colleagues
Adam J. Lee: colleagues
Marianne Winslett: colleagues
Nikita Borisov: colleagues