SDAMQ: Secure Data Aggregation for Multiple Queries in Wireless Sensor Networks

被引:9
|
作者
Prathima, E. G. [1 ]
Prakash, T. Shiv [2 ]
Venugopal, K. R. [1 ]
Iyengar, S. S. [3 ]
Patnaik, L. M. [4 ]
机构
[1] Bangalore Univ, Univ Visvesvaraya, Coll Engn, Bangalore 560001, Karnataka, India
[2] Vijaya Vittala Inst Technol, Bangalore, Karnataka, India
[3] Florida Int Univ, Miami, FL 33199 USA
[4] Indian Inst Sci Campus, Natl Inst Adv Studies, INSA, Bangalore, Karnataka, India
来源
TWELFTH INTERNATIONAL CONFERENCE ON COMMUNICATION NETWORKS, ICCN 2016 / TWELFTH INTERNATIONAL CONFERENCE ON DATA MINING AND WAREHOUSING, ICDMW 2016 / TWELFTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING, ICISP 2016 | 2016年 / 89卷
关键词
Additive Homomorphism; Authentication; Concealed Data Aggregation; Multiple Queries; WSN;
D O I
10.1016/j.procs.2016.06.060
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Wireless Sensor Network consists of severely energy constrained sensor nodes and are susceptible to security attacks due to broadcast communication model. It is necessary to optimize the transmission of packets to reduce the energy consumption. In addition data has to be encrypted in order to overcome the attack from the compromising nodes. We propose Secure Data Aggregation for Multiple Queries (SDAMQ) in Wireless Sensor Networks where multiple aggregate queries from the sink are authenticated and distributed to the sensor nodes. The sensor nodes respond by aggregating data belonging to multiple coexisting queries into a single packet, there by reducing the transmission cost. The intermediary nodes aggregate the encrypted data using additively homomorphic encryption. Thus authenticated query propagation combined with homomorphic encryption provide secure data aggregation at low energy consumption. Simulation results shows that SDAMQ provides better performance. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:283 / 292
页数:10
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