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SDAP: a secure hop-by-Hop data aggregation protocol for sensor networks
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Source International Symposium on Mobile Ad Hoc Networking & Computing archive
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing table of contents
Florence, Italy
SESSION: Sensor networks table of contents
Pages: 356 - 367  
Year of Publication: 2006
ISBN:1-59593-368-9
Authors
Yi Yang  The Pennsylvania State University, University Park, PA, USA
Xinran Wang  The Pennsylvania State University, University Park, PA, USA
Sencun Zhu  The Pennsylvania State University, University Park, PA, USA
Guohong Cao  The Pennsylvania State University, University Park, PA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 85,   Citation Count: 23
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ABSTRACT

Hop-by-hop data aggregation is a very important technique for reducing the communication overhead and energy expenditure of sensor nodes during the process of data collection in a sensor network. However, because individual sensor readings are lost in the per-hop aggregation process, compromised nodes in the network may forge false values as the aggregation results of other nodes, tricking the base station into accepting spurious aggregation results. Here a fundamental challenge is: how can the base station obtain a good approximation of the fusion result when a fraction of sensor nodes are compromised.To answer this challenge, we propose SDAP, a Secure Hop-by-hop Data Aggregation Protocol for sensor networks. The design of SDAP is based on the principles of divide-and-conquer and commit-and-attest. First, SDAP uses a novel probabilistic grouping technique to dynamically partition the nodes in a tree topology into multiple logical groups (subtrees) of similar sizes. A commitment-based hop-by-hop aggregation is performed in each group to generate a group aggregate. The base station then identifies the suspicious groups based on the set of group aggregates. Finally, each group under suspect participates in an attestation process to prove the correctness of its group aggregate. Our analysis and simulations show that SDAP can achieve the level of efficiency close to an ordinary hop-by-hop aggregation protocol while providing certain assurance on the trustworthiness of the aggregation result. Moreover, SDAP is a general-purpose secure aggregation protocol applicable to multiple aggregation functions.


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.

 
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CITED BY  23

Collaborative Colleagues:
Yi Yang: colleagues
Xinran Wang: colleagues
Sencun Zhu: colleagues
Guohong Cao: colleagues