Privacy-Preserving Information Fusion Technique for Device to Server-Enabled Communication in the Internet of Things:A Hybrid Approach  

作　　者：Amal Al-Rasheed Rahim Khan Tahani Alsaed Mahwish Kundi Mohamad Hanif Md.Saad Mahidur R.Sarker 

机构地区：[1]Department of Information Systems,College of Computer and Information Sciences,Princess Nourah bint Abdulrahman University,P.O.Box 84428,Riyadh,11671,Saudi Arabia [2]Department of Computer Science,AbdulWali Khan University Mardan,Mardan,23200,Pakistan [3]Faculty of Computing and Informatics,University Malaysia Sabah,Kota Kinabalu,Sabah,88400,Malaysia [4]Applied College,Taibah University,Madinah,41477,Saudi Arabia [5]Maynooth International Engineering College,Maynooth University,Co Kildare,W23 X021,Irland [6]Department of Mechanical Engineering,Faculty of Engineering and Built Environment,Universiti Kebangsaan Malaysia,Bangi,Selangor,43600,Malaysia [7]Institute of Visual Informatics,Universiti Kebangsaan Malaysia,Bangi,Selangor,43600,Malaysia [8]University of Design,Innovation and Technology(UDIT),Av.Alfonso XIII,97,Madrid,28016,Spain

出　　处：《Computers, Materials & Continua》2024年第7期1305-1323,共19页计算机、材料和连续体（英文）

基　　金：Ministry of Higher Education of Malaysia under theResearch GrantLRGS/1/2019/UKM-UKM/5/2 and Princess Nourah bint Abdulrahman University for financing this researcher through Supporting Project Number(PNURSP2024R235),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.

摘　　要：Due to the overwhelming characteristics of the Internet of Things(IoT)and its adoption in approximately every aspect of our lives,the concept of individual devices’privacy has gained prominent attention from both customers,i.e.,people,and industries as wearable devices collect sensitive information about patients(both admitted and outdoor)in smart healthcare infrastructures.In addition to privacy,outliers or noise are among the crucial issues,which are directly correlated with IoT infrastructures,as most member devices are resource-limited and could generate or transmit false data that is required to be refined before processing,i.e.,transmitting.Therefore,the development of privacy-preserving information fusion techniques is highly encouraged,especially those designed for smart IoT-enabled domains.In this paper,we are going to present an effective hybrid approach that can refine raw data values captured by the respectivemember device before transmission while preserving its privacy through the utilization of the differential privacy technique in IoT infrastructures.Sliding window,i.e.,δi based dynamic programming methodology,is implemented at the device level to ensure precise and accurate detection of outliers or noisy data,and refine it prior to activation of the respective transmission activity.Additionally,an appropriate privacy budget has been selected,which is enough to ensure the privacy of every individualmodule,i.e.,a wearable device such as a smartwatch attached to the patient’s body.In contrast,the end module,i.e.,the server in this case,can extract important information with approximately the maximum level of accuracy.Moreover,refined data has been processed by adding an appropriate nose through the Laplace mechanism to make it useless or meaningless for the adversary modules in the IoT.The proposed hybrid approach is trusted from both the device’s privacy and the integrity of the transmitted information perspectives.Simulation and analytical results have proved that the proposed privacy-prese

关 键 词：Internet of things information fusion differential privacy dynamic programming Laplace function 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]