PIR-based data integrity verification method in sensor network

被引:2
|
作者
Kim, Yong-Ki [1 ]
Choi, Kwangnam [1 ]
Kim, Jaesoo [1 ]
Seok, JungHo [1 ]
机构
[1] Korea Inst Sci & Technol Informat, Taejon 305806, South Korea
关键词
data integrity; verification; private information retrieval; sensor network;
D O I
10.1007/s11771-014-2375-8
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Since a sensor node handles wireless communication in data transmission and reception and is installed in poor environment, it is easily exposed to certain attacks such as data transformation and sniffing. Therefore, it is necessary to verify data integrity to properly respond to an adversary's ill-intentioned data modification. In sensor network environment, the data integrity verification method verifies the final data only, requesting multiple communications. An energy-efficient private information retrieval (PIR)-based data integrity verification method is proposed. Because the proposed method verifies the integrity of data between parent and child nodes, it is more efficient than the existing method which verifies data integrity after receiving data from the entire network or in a cluster. Since the number of messages for verification is reduced, in addition, energy could be used more efficiently. Lastly, the excellence of the proposed method is verified through performance evaluation.
引用
收藏
页码:3883 / 3888
页数:6
相关论文
共 50 条
  • [41] Blockchain Based Data Integrity Verification for Large-Scale IoT Data
    Wang, Haiyan
    Zhang, Jiawei
    [J]. IEEE ACCESS, 2019, 7 : 164996 - 165006
  • [42] Method for data recovery in the sensor network based on the joint graph model
    Yang J.
    Jiang J.
    [J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2020, 47 (01): : 44 - 51
  • [43] Multi Sensor Data Fusion Method Based on Fuzzy Neural Network
    Ling, Youzhu
    Xu, Xiaoguang
    Shen, Lina
    Liu, Jingmeng
    [J]. 2008 6TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1-3, 2008, : 132 - +
  • [44] A traffic data collection and analysis method based on wireless sensor network
    Wang, Huan
    Ouyang, Min
    Meng, Qingyuan
    Kong, Qian
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2020, 2020 (01)
  • [45] A traffic data collection and analysis method based on wireless sensor network
    Huan Wang
    Min Ouyang
    Qingyuan Meng
    Qian Kong
    [J]. EURASIP Journal on Wireless Communications and Networking, 2020
  • [46] A data fusion method in wireless sensor network based on belief structure
    Long, Chengfeng
    Liu, Xingxin
    Yang, Yakun
    Zhang, Tao
    Tan, Siqiao
    Fang, Kui
    Tang, Xiaoyong
    Yang, Gelan
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2021, 2021 (01)
  • [47] Data fusion method for wireless sensor network based on machine learning
    Wu, Mi
    [J]. JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2023, 23 (01) : 361 - 373
  • [48] A data fusion method in wireless sensor network based on belief structure
    Chengfeng Long
    Xingxin Liu
    Yakun Yang
    Tao Zhang
    Siqiao Tan
    Kui Fang
    Xiaoyong Tang
    Gelan Yang
    [J]. EURASIP Journal on Wireless Communications and Networking, 2021
  • [49] A data fusion method of wireless sensor network based on security protection
    Li, Li
    Mu, Kun
    [J]. Journal of Computational Information Systems, 2013, 9 (17): : 7029 - 7036
  • [50] Power data integrity verification method based on chameleon authentication tree algorithm and missing tendency value
    Liu X.
    Chang Y.
    Zhang H.
    Zhang F.
    Sun L.
    [J]. Energy Harvesting and Systems, 2024, 11 (01)