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A Double-Compensation-Based Federated Learning Scheme for data privacy Protection in a Social IoT Scenario

Computers, Materials & Continua 2023年第7期76卷 827-848页

作者： Junqi Guo Qingyun Xiong Minghui Yang Ziyun Zhao School of Artificial Intelligence Beijing Normal UniversityBeijing100875China Engineering Research Center of Intelligent Technology and Educational Application Ministry of EducationBeijing100875China

Nowadays,smart wearable devices are used widely in the Social Internet of Things(IoT),which record human physiological data in real *** protect the data privacy of smart devices,researchers pay more attention to federated *** the data leakage problem is somewhat solved,a new challenge has *** federated learning shortens the convergence time,while it has time delay and data heterogeneity *** of the two problems harm the *** overcome these issues,we propose an asynchronous federated learning scheme based on double compensation to solve the problem of time delay and data heterogeneity *** scheme improves the Delay Compensated Asynchronous Stochastic Gradient Descent(DC-ASGD)algorithm based on the second-order Taylor expansion as the delay *** adds the FedProx operator to the objective function as the heterogeneity ***,the proposed scheme motivates the federated learning process by adjusting the importance of the participants and the central *** conduct multiple sets of experiments in both conventional and heterogeneous *** experimental results show that our scheme improves the accuracy by about 5%while keeping the complexity *** can find that our scheme converges more smoothly during training and adapts better in heterogeneous environments through numerical *** proposed double-compensation-based federated learning scheme is highly accurate,flexible in terms of participants and smooth the training *** it is deemed suitable for data privacy protection of smart wearable devices.

关键词： Social Internet of Things smart wearable devices data privacy asynchronous federated learning

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Preserving data privacy in Speech data Publishing

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Journal of Donghua University(English Edition) 2020年第4期37卷 293-297页

作者： SUN Jiaxin JIANG Jin ZHAO Ping College of Information Science and Technology Donghua UniversityShanghai 201620China

Speech data publishing breaches users'data privacy,thereby causing more privacy *** work sanitizes content,voice,and voiceprint of speech data without considering the consistence among these three features,and thus is susceptible to inference *** address the problem,we design a privacy-preserving protocol for speech data publishing(P3S2)that takes the corrections among the three factors into *** concrete,we first propose a three-dimensional sanitization that uses feature learning to capture characteristics in each dimension,and then sanitize speech data using the learned *** a result,the correlations among the three dimensions of the sanitized speech data are ***,the(ε,δ)-differential privacy is used to theoretically prove both the data privacy preservation and the data utility guarantee of P3S2,filling the gap of algorithm design and performance ***,simulations on two real world datasets have demonstrated both the data privacy preservation and the data utility guarantee.

关键词： speech data publishing data privacy data utility differential privacy

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Security Model for Analyzing data privacy in Multipath Transport

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China Communications 2012年第5期9卷 32-41页

作者： Song Fei Xue Miao Zhang Sidong Beijing Jiaotong Univ Sch Elect & Informat Engn Natl Engn Lab Next Generat Internet Interconnect Beijing 100044 Peoples R China

In order to investigate the enhancement of data privacy by distributing data packets via multiple paths, this paper fommlates a security model and analyzes the privacy problem in mul- tipath scenarios leveraging inforrmtion theoretic concept. Based on proposed model, a privacy function related to the path number is discussed. We heuristically recommend the optin^al path num- ber and analyze the tradeoff among the perform- ance, resource consumption and privacy. For re- ducing the inforlmtion leakage, the data schedule algorithms are also proposed. The analytical model can provide guidelines for the multipath protocol design.

关键词： data privacy multipath transport in-formation theory tradeoff

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Interpretation of Information Security and data privacy Protection According to the data Use During the Epidemic

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通讯和计算机（中英文版） 2022年第1期19卷 9-15页

作者： Liu Yang Zhang Jiahui Sun Kaiyang School of Marine Law and Humanities Dalian Ocean UniversityDalianChina

COVID-19 has swept the whole our country and the world in the beginning of 2020.31 provinces and municipalities across the country have launched the first-level response to major public health emergencies since January 24,and China has carried out intensive epidemic *** is critical for effectively responding to COVID-19 to collect,collate and analyze people’s personal ***’s more,obtaining identity information,travel records and health information of confirmed cases,suspected cases and close contacts has become a crucial step in epidemic *** regions have made full use of big data to carry out personnel screening,travel records analysis and other related work in epidemic prevention and control,effectively improving the efficiency of epidemic prevention and ***,data leakage,personnel privacy data exposure,and personal attack frequently occurred in the process of personnel travel records analysis and epidemic prevention and *** even happened in the WeChat group to forward a person’s name,phone number,address,ID number and other sensitive *** brought discrimination,telephone and SMS harassment to the parties,which caused great harm to *** on these,lack of information security and data security awareness and other issues were ***,while big data has been widely concerned and applied,attention should be paid to protecting personal *** is urgent to pay more attention to data privacy and information security in order to effectively protect the legitimate rights of the ***,measures can be taken to achieve this goal,such as improving the relevant legal system,strengthening technical means to enhance the supervision and management of information security and data protection.

关键词： Information security data privacy epidemic prevention and control personal privacy protection

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Blockchain-Based data Acquisition with privacy Protection in UAV Cluster Network

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 879-902页

作者： Lemei Da Hai Liang Yong Ding Yujue Wang Changsong Yang Huiyong Wang Guangxi Key Laboratory of Cryptography and Information Security School of Computer Science and Information SecurityGuilin University of Electronic TechnologyGuilin541004China Cyberspace Security Research Center Pengcheng LaboratoryShenzhen518055China School of Mathematics and Computing Science Guilin University of Electronic TechnologyGuilin541004China

The unmanned aerial vehicle(UAV)self-organizing network is composed of multiple UAVs with autonomous capabilities according to a certain structure and scale,which can quickly and accurately complete complex tasks such as path planning,situational awareness,and information *** to the openness of the network,the UAV cluster is more vulnerable to passive eavesdropping,active interference,and other attacks,which makes the system face serious security *** paper proposes a Blockchain-Based data Acquisition(BDA)scheme with privacy protection to address the data privacy and identity authentication problems in the UAV-assisted data acquisition *** UAV cluster has an aggregate unmanned aerial vehicle(AGV)that can batch-verify the acquisition reports within its administrative *** successful verification,AGV adds its signcrypted ciphertext to the aggregation and uploads it to the blockchain for *** are two chains in the blockchain that store the public key information of registered entities and the aggregated reports,*** security analysis shows that theBDAconstruction can protect the privacy and authenticity of acquisition data,and effectively resist a malicious key generation center and the public-key substitution *** also provides unforgeability to acquisition reports under the Elliptic Curve Discrete Logarithm Problem(ECDLP)*** performance analysis demonstrates that compared with other schemes,the proposed BDA construction has lower computational complexity and is more suitable for the UAV cluster network with limited computing power and storage capacity.

关键词： Unmanned aerial vehicle cluster network certificateless signcryption certificateless signature batch verification source authentication data privacy blockchain

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Enhancement of UAV data Security and privacy via Ethereum Blockchain Technology

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Computers, Materials & Continua 2023年第8期76卷 1797-1815页

作者： Sur Singh Rawat Youseef Alotaibi Nitima Malsa Vimal Gupta Department of Computer Science and Engineering JSS Academy of Technical EducationNoida201301India Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia

Unmanned aerial vehicles(UAVs),or drones,have revolutionized a wide range of industries,including monitoring,agriculture,surveillance,and supply ***,their widespread use also poses significant challenges,such as public safety,privacy,and ***,targetingUAVs have become more frequent,which highlights the need for robust security *** technology,the foundation of cryptocurrencies has the potential to address these *** study suggests a platform that utilizes blockchain technology tomanage drone operations securely and *** incorporating blockchain technology,the proposed method aims to increase the security and privacy of drone *** suggested platform stores information on a public blockchain located on Ethereum and leverages the Ganache platform to ensure secure and private blockchain *** wallet for Ethbalance is necessary for BCT *** present research finding shows that the proposed approach’s efficiency and security features are superior to existing *** study contributes to the development of a secure and efficient system for managing drone operations that could have significant applications in various *** proposed platform’s security measures could mitigate privacy concerns,minimize cyber security risk,and enhance public safety,ultimately promoting the widespread adoption of *** results of the study demonstrate that the blockchain can ensure the fulfillment of core security needs such as authentication,privacy preservation,confidentiality,integrity,and access control.

关键词： Unmanned aerial vehicles(UAVs) blockchain data privacy network security smart contract Ethereum

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data Aggregation privacy in WSN

Data Aggregation Privacy in WSN

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作者： Jianbo Yao Chaoqiong Yang School of Mathematics and Computer Hezhou University Audit Division Zunyi Normal College

When WSN is applied to monitoring,the privacy of monitoring data from monitoring objects becomes an important issue for the successful application of WSN,which requires effective privacy protection for data ***（Cluster-based Private data Aggregation） has a problem that energy costs become higher with increase of nodes within a *** this paper,UCPDA（Upgrade Cluster-based Private data Aggregation） is established to perform data aggregation while preserving data *** to required privacy,the sensors in a cluster are partitioned into some *** preprocessing is performed only in the same *** to CPDA,UCPDA has lower energy consumption for required privacy.

关键词： WSN privacy data privacy data aggregation data aggregation privacy

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A privacy-preserving method for publishing data with multiple sensitive attributes

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 222-238页

作者： Tong Yi Minyong Shi Wenqian Shang Haibin Zhu School of Computer Science and Engineering Guangxi Normal UniversityGuilinChina School of Computer Science Communication University of ChinaBeijingChina Department of Computer Science and Mathematics Nipissing UniversityNorth BayOntarioCanada

The overgeneralisation may happen because most studies on data publishing for multiple sensitive attributes(SAs)have not considered the personalised privacy ***,sensitive information disclosure may also be caused by these personalised *** address the matter,this article develops a personalised data publishing method for multiple *** to the requirements of individuals,the new method partitions SAs values into two categories:private values and public values,and breaks the association between them for privacy *** the private values,this paper takes the process of anonymisation,while the public values are released without this *** algorithm is designed to achieve the privacy mode,where the selectivity is determined by the sensitive value frequency and undesirable *** experimental results show that the proposed method can provide more information utility when compared with previous *** theoretic analyses and experiments also indicate that the privacy can be guaranteed even though the public values are known to an *** overgeneralisation and privacy breach caused by the personalised requirement can be avoided by the new method.

关键词： data privacy data publishing

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Hybrid Approach for privacy Enhancement in data Mining Using Arbitrariness and Perturbation

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Computer Systems Science & Engineering 2023年第3期44卷 2293-2307页

作者： B.Murugeshwari S.Rajalakshmi K.Sudharson Department of Computer Science and Engineering Velammal Engineering CollegeChennai600066India Department of Information Technology Velammal Institute of TechnologyChennai601204India

Imagine numerous clients,each with personal data;individual inputs are severely corrupt,and a server only concerns the collective,statistically essential facets of this *** several data mining methods,privacy has become highly *** a result,various privacy-preserving data analysis technologies have ***,we use the randomization process to reconstruct composite data attributes ***,we use privacy measures to estimate how much deception is required to guarantee *** are several viable privacy protections;however,determining which one is the best is still a work in *** paper discusses the difficulty of measuring privacy while also offering numerous random sampling procedures and statistical and categorized data ***-more,this paper investigates the use of arbitrary nature with perturbations in privacy *** to the research,arbitrary objects(most notably random matrices)have"predicted"frequency *** shows how to recover crucial information from a sample damaged by a random number using an arbi-trary lattice spectral selection *** system's conceptual frame-work posits,and extensive practicalfindings indicate that sparse data distortions preserve relatively modest privacy protection in various *** a result,the research framework is efficient and effective in maintaining data privacy and security.

关键词： data mining data privacy arbitrariness data security perturbation

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Federated Learning Based on data Divergence and Differential privacy in Financial Risk Control Research

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Computers, Materials & Continua 2023年第4期75卷 863-878页

作者： Mao Yuxin Wang Honglin School of Artificial Intelligence/School of Future Technology Nanjing University of Information Science and TechnologyNanjing210044China

In the financial sector, data are highly confidential and sensitive,and ensuring data privacy is critical. Sample fusion is the basis of horizontalfederation learning, but it is suitable only for scenarios where customershave the same format but different targets, namely for scenarios with strongfeature overlapping and weak user overlapping. To solve this limitation, thispaper proposes a federated learning-based model with local data sharing anddifferential privacy. The indexing mechanism of differential privacy is used toobtain different degrees of privacy budgets, which are applied to the gradientaccording to the contribution degree to ensure privacy without affectingaccuracy. In addition, data sharing is performed to improve the utility ofthe global model. Further, the distributed prediction model is used to predictcustomers’ loan propensity on the premise of protecting user privacy. Usingan aggregation mechanism based on federated learning can help to train themodel on distributed data without exposing local data. The proposed methodis verified by experiments, and experimental results show that for non-iiddata, the proposed method can effectively improve data accuracy and reducethe impact of sample tilt. The proposed method can be extended to edgecomputing, blockchain, and the Industrial Internet of Things (IIoT) *** theoretical analysis and experimental results show that the proposedmethod can ensure the privacy and accuracy of the federated learning processand can also improve the model utility for non-iid data by 7% compared tothe federated averaging method (FedAvg).

关键词： data privacy federated learning machine learning data difference

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