A Security Multi-Dimensional Range Query Protocol Based on Left 0-1 Encoding in Two-Tiered Wireless Sensor Networks

被引:2
|
作者
Deng, Yun [1 ,2 ]
Chen, Jinyu [1 ,2 ]
Wang, Yu [1 ,2 ]
Shen, Fanfan [3 ]
机构
[1] Guilin Univ Technol, Guangxi Key Lab Embedded Technol & Intelligent Sy, 319 Yanshan St, Guilin, Guangxi, Peoples R China
[2] Guilin Univ Technol, Sch Informat Sci & Engn, 319 Yanshan St, Guilin, Guangxi, Peoples R China
[3] Nanjing Audit Univ, Sch Informat Engn, 86 Yushan West Rd, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Two-tiered wireless sensor networks; privacy protection; range query; left; 0-1; encoding; encryption index chain; PRIVACY;
D O I
10.1142/S0218126622501572
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this research on range query technology for two-tiered wireless sensor networks, the existing researches still need improvement in privacy security and communication cost of the sensor node. In this paper, a security multi-dimensional range query protocol is proposed. The left 0-1 encoding mechanism (a new and optimized encoding mechanism), HMAC algorithm, and BASE64 encoding are employed to optimize the calculation of comparison factor. The encryption index chain is constructed by using AES algorithm to replace the long encryption constraint chain, so as to lower the energy consumption of computation and communication. The base station can verify the authenticity and integrity of query results on the basis of continuity of storage time and encryption index chain. The experiment has been conducted in the real systems. The protocol is compared and analyzed with the latest proposed Communication-Efficient Secure Range Queries (CSRQ). The results have shown that the proposed protocol can gain a better performance in terms of four aspects, i.e., the length of sensing data, the number of data collected in each cycle, the number of data dimensions and the number of sensor nodes in each unit. Meanwhile, compared with CSRQ, the communication cost of the proposed protocol is reduced by at least 10%.
引用
收藏
页数:32
相关论文
共 44 条
  • [31] PSH: A Pruning and Substitution Based Heuristic Algorithm for Relay Node Placement in Two-Tiered Wireless Sensor Networks
    Chaofan Ma
    Wei Liang
    Meng Zheng
    Wireless Personal Communications, 2017, 94 : 1491 - 1510
  • [32] A novel privacy- and integrity-preserving approach for multidimensional data range queries in two-tiered wireless sensor networks
    Wang, Lei
    Zhao, Meng
    Chen, Jin
    Li, Xueyong
    Chen, Zhiping
    Tang, Yihong
    Zou, Sai
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2019, 15 (06)
  • [33] Research on data aggregation algorithms for top-k queries in query-driven-based two-tiered sensor networks
    Liang, Jun-Bin
    Ma, Xing-Po
    Kui, Xiao-Yan
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2014, 42 (10): : 2075 - 2080
  • [34] Random Secure Comparator Selection Based Privacy-Preserving MAX/MIN Query Processing in Two-Tiered Sensor Networks
    Dai, Hua
    Wei, Tianyi
    Huang, Yue
    Xu, Jia
    Yang, Geng
    JOURNAL OF SENSORS, 2016, 2016
  • [35] Delay constrained relay node placement in two-tiered wireless sensor networks: A set-covering-based algorithm
    Ma, Chaofan
    Liang, Wei
    Zheng, Meng
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 93 : 76 - 90
  • [36] A Secure Query Protocol for Multi-layer Wireless Sensor Networks Based on Internet of Things
    Lin T.
    Wu P.
    Gao F.
    Wang L.
    Revue d'Intelligence Artificielle, 2019, 33 (02) : 145 - 149
  • [37] A Non-iterative Localization Approach Based on Multi-dimensional Scaling Method for Wireless Sensor Networks
    Liu, Lichuan
    Guntaka, Kavitha Kavitha
    2014 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2014, : 328 - 333
  • [38] Trajectory-based multi-dimensional outlier detection in wireless sensor networks using Hidden Markov Models
    Chen Wang
    Hongzhi Lin
    Hongbo Jiang
    Wireless Networks, 2014, 20 : 2409 - 2418
  • [39] Trajectory-based multi-dimensional outlier detection in wireless sensor networks using Hidden Markov Models
    Wang, Chen
    Lin, Hongzhi
    Jiang, Hongbo
    WIRELESS NETWORKS, 2014, 20 (08) : 2409 - 2418
  • [40] Energy-Efficient Algorithm Based on Multi-dimensional Energy Space for Software-Defined Wireless Sensor Networks
    Liao Wenxing
    Wu Muqing
    Wu Yuewei
    2016 13TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS), 2016, : 309 - 314