Multi-dimensional Security Range Query for Industrial IoT  

作　　者：Abdallah Abdallah Ayman A.Aly Bassem F.Felemban Imran Khan Ki-Il Kim 

机构地区：[1]School of Engineering Technology,Al Hussein Technical University(HTU),Amman,11831,Jordan [2]Department of Mechanical Engineering,College of Engineering,Taif University,Taif,21944,Saudi Arabia [3]Department of Electrical Engineering,University of Engineering and Technology Peshawar,Pakistan [4]Department of Computer Science and Engineering,Chungnam National University,Daejeon,34134,Korea

出　　处：《Computers, Materials & Continua》2022年第7期157-179,共23页计算机、材料和连续体（英文）

基　　金：This study was supported by the Institute for Information&Communications Technology Planning&Evaluation(IITP)grant funded by theKorean government(MSIT)(No.2019-0-01343,Training Key Talents in Industrial Convergence Security).

摘　　要：The Internet of Things(IoT)has allowed for significant advancements in applications not only in the home,business,and environment,but also in factory automation.Industrial Internet of Things(IIoT)brings all of the benefits of the IoT to industrial contexts,allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and autonomy.The expansion of the IoT has been set by serious security threats and obstacles,and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control.A privacypreserving multi-dimensional secure query technique for fog-enhanced IIoT was proposed in light of the fact that most existing range query schemes for fog-enhanced IoT cannot provide both multi-dimensional query and privacy protection.The query matrix was then decomposed using auxiliary vectors,and the auxiliary vectorwas then processed usingBGNhomomorphic encryption to create a query trapdoor.Finally,the query trapdoor may be matched to its sensor data using the homomorphic computation used by an IoT device terminal.With the application of particular auxiliary vectors,the spatial complexity might be efficiently decreased.The homomorphic encryption property might ensure the security of sensor data and safeguard the privacy of the user’s inquiry mode.The results of the experiments reveal that the computing and communication expenses are modest.

关 键 词：Internet of things data security CIPHERTEXT privacy encryption 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术]