An Integrity-checking Private Data Aggregation Algorithm
Zhou Qiang①②③ Yang Geng①③ Li Sen①③ Chen Lei①③
①(School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China) ②(School of Computer and Information Engineering, Chuzhou University, Chuzhou 239000, China) ③(Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
Abstract：To solve the issues of malicious modification and privacy disclosing of aggregation value during the data aggregation phase of Wireless Sensor Networks (WSNs), a novel private data aggregation with data integrity checking algorithm is proposed, which is called Integrity-ChecKing Private Data Aggregation (ICKPDA) for WSNs. This algorithm first hides the sample data through combining it with secret seeds; then it enhances the privacy efficiency by data slicing and assembling technique. Finally, it converts the data to two-tuples to provide integrity checking by the relevance of binary data. The simulation results show that ICKPDA can effectively preserve data privacy, check the data integrity, and get accurate data aggregation results while having less communication and computation overhead.
2013, Vol. 35 
