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A pairwise key pre-distribution scheme for wireless sensor networks
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Source Conference on Computer and Communications Security archive
Proceedings of the 10th ACM conference on Computer and communications security table of contents
Washington D.C., USA
SESSION: Sensor networks table of contents
Pages: 42 - 51  
Year of Publication: 2003
ISBN:1-58113-738-9
Authors
Wenliang Du  Syracuse University, Syracuse, NY
Jing Deng  Syracuse University, Syracuse, NY
Yunghsiang S. Han  National Chi Nan University, Taiwan, R.O.C
Pramod K. Varshney  Syracuse University, Syracuse, NY
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

To achieve security in wireless sensor networks, it is important to be able to encrypt and authenticate messages sent among sensor nodes. Keys for encryption and authentication purposes must be agreed upon by communicating nodes. Due to resource constraints, achieving such key agreement in wireless sensor networks is non-trivial. Many key agreement schemes used in general networks, such as Diffie-Hellman and public-key based schemes, are not suitable for wireless sensor networks. Pre-distribution of secret keys for all pairs of nodes is not viable due to the large amount of memory used when the network size is large. To solve the key pre-distribution problem, two elegant key pre-distribution approaches have been proposed recently [11, 7].In this paper, we propose a new key pre-distribution scheme, which substantially improves the resilience of the network compared to the existing schemes. Our scheme exhibits a nice threshold property: when the number of compromised nodes is less than the threshold, the probability that any nodes other than these compromised nodes is affected is close to zero. This desirable property lowers the initial payoff of smaller scale network breaches to an adversary, and makes it necessary for the adversary to attack a significant proportion of the network. We also present an in depth analysis of our scheme in terms of network resilience and associated overhead.


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
Wireless Integrated Network Sensors, University of California, Available: http://www.janet.ucla.edu/WINS.
 
2
I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. A survey on sensor networks. IEEE Communications Magazine, 40(8):102--114, August 2002.
 
3
R. Anderson and M. Kuhn. Tamper resistance - a cautionary note. In Proceedings of the Second Usenix Workshop on Electronic Commerce, pages 1--11, November 1996.
 
4
 
5
 
6
D. W. Carman, P. S. Kruus, and B. J. Matt. Constraints and approaches for distributed sensor network security. NAI Labs Technical Report #00-010, available at http://download.nai.com/products/media/nai/zip/nailabs-report-00-010-final.zip, 2000.
 
7
 
8
W. Diffie and M. E. Hellman. New directions in cryptography. IEEE Transactions on Information Theory, 22:644--654, November 1976.
 
9
W. Du, J. Deng, Y. S. Han, S. Chen, and P. K. Varshney. A key management scheme for wireless sensor networks using deployment knowledge. Technical Report, Syracuse University, July 2003. Available from http://www.cis.syr.edu/~wedu/Research/paper/ddhcv03.pdf.
 
10
Erdos and Rényi. On random graphs I. Publ. Math. Debrecen, 6:290--297, 1959.
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12
 
13
F. J. MacWilliams and N. J. A. Sloane. The Theory of Error-Correcting Codes. New York, NY: Elsevier Science Publishing Company, Inc., 1977.
 
14
 
15
B. C. Neuman and T. Tso. Kerberos: An authentication service for computer networks. IEEE Communications, 32(9):33--38, September 1994.
16
 
17
W. W. Peterson. Error-Correcting Codes. Cambridge, MA: Mass. Inst. Tech., second edition, 1972.
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CITED BY  122

Collaborative Colleagues:
Wenliang Du: colleagues
Jing Deng: colleagues
Yunghsiang S. Han: colleagues
Pramod K. Varshney: colleagues