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privacy protection for Medical Images Based on DenseNet and Coverless Steganography

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Computers, Materials & Continua 2020年第9期64卷 1797-1817页

作者： Yun Tan Jiaohua Qin Hao Tang Xuyu Xiang Ling Tan Neal NXiong College of Computer Science and Information Technology Central South University of Forestry&TechnologyChangsha410114China The Second Xiangya Hospital of Central South University Changsha410011China Department of Mathematics and Computer Science Northeastern State UniversityTahlequah74464USA

With the development of the internet of medical things(IoMT),the privacy protection problem has become more and more *** this paper,we propose a privacy protection scheme for medical images based on DenseNet and coverless *** a given group of medical images of one patient,DenseNet is used to regroup the images based on feature similarity *** the mapping indexes can be constructed based on LBP feature and hash *** mapping the privacy information with the hash sequences,the corresponding mapped indexes of secret information will be packed together with the medical images group and released to the authorized *** user can extract the privacy information successfully with a similar method of feature analysis and index *** simulation results show good performance of *** the hiding success rate also shows good feasibility and practicability for *** the medical images are kept original without embedding and modification,the performance of crack resistance is outstanding and can keep better quality for diagnosis compared with traditional schemes with data embedding.

关键词： privacy protection medical image coverless steganography DenseNet LBP

privacy protection Algorithm for the Internet of Vehicles Based on Local Differential privacy and Game Model

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Computers, Materials & Continua 2020年第8期64卷 1025-1038页

作者： Wenxi Han Mingzhi Cheng Min Lei Hanwen Xu Yu Yang Lei Qian Guizhou Provincial Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China School of Cyberspace Security Beijing University of Posts and TelecommunicationsBeijing100876China College of New Media Beijing Institute of Graphic CommunicationBeijing102600China School of Computer Science The University of AucklandAucklandNew Zealand

In recent years,with the continuous advancement of the intelligent process of the Internet of Vehicles(IoV),the problem of privacy leakage in IoV has become increasingly *** research on the privacy protection of the IoV has become the focus of the *** paper analyzes the advantages and disadvantages of the existing location privacy protection system structure and algorithms,proposes a privacy protection system structure based on untrusted data collection server,and designs a vehicle location acquisition algorithm based on a local differential privacy and game *** algorithm first meshes the road network ***,the dynamic game model is introduced into the game user location privacy protection model and the attacker location semantic inference model,thereby minimizing the possibility of exposing the regional semantic privacy of the k-location set while maximizing the availability of the *** this basis,a statistical method is designed,which satisfies the local differential privacy of k-location sets and obtains unbiased estimation of traffic density in different ***,this paper verifies the algorithm based on the data set of mobile vehicles in *** experimental results show that the algorithm can guarantee the user’s location privacy and location semantic privacy while satisfying the service quality requirements,and provide better privacy protection and service for the users of the IoV.

关键词： The Internet of Vehicles privacy protection local differential privacy location semantic inference attack game theory

privacy protection Based Access Control Scheme in Cloud-Based Services

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China Communications 2017年第1期14卷 61-71页

作者： Kai Fan Qiong Tian Junxiong Wang Hui Li Yintang Yang State Key Laboratory of Integrated Service Networks Xidian UniversityXi'an710071China Key Lab.of the Minist.of Educ.for Wide Band-Gap Semiconductor Materials and Devices Xidian UniversityXi'an710071China

With the rapid development of computer technology, cloud-based services have become a hot topic. They not only provide users with convenience, but also bring many security issues, such as data sharing and privacy issue. In this paper, we present an access control system with privilege separation based on privacy protection(PS-ACS). In the PS-ACS scheme, we divide users into private domain(PRD) and public domain(PUD) logically. In PRD, to achieve read access permission and write access permission, we adopt the Key-Aggregate Encryption(KAE) and the Improved Attribute-based Signature(IABS) respectively. In PUD, we construct a new multi-authority ciphertext policy attribute-based encryption(CP-ABE) scheme with efficient decryption to avoid the issues of single point of failure and complicated key distribution, and design an efficient attribute revocation method for it. The analysis and simulation result show that our scheme is feasible and superior to protect users' privacy in cloud-based services.

关键词： access control data sharing privacy protection cloud-based services

A linkable signature scheme supporting batch verification for privacy protection in crowd-sensing

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Digital Communications and Networks 2024年第3期10卷 645-654页

作者： Xu Li Gwanggil Jeon Wenshuo Wang Jindong Zhao School of Computer and Control Engineering Yantai UniversityYantai264005China Department of Embedded Systems Engineering Incheon National UniversityAcademyro-119Incheon22012Republic of Korea

The maturity of 5G technology has enabled crowd-sensing services to collect multimedia data over wireless network,so it has promoted the applications of crowd-sensing services in different fields,but also brings more privacy security challenges,the most commom which is privacy *** a privacy protection technology combining data integrity check and identity anonymity,ring signature is widely used in the field of privacy ***,introducing signature technology leads to additional signature verification *** the scenario of crowd-sensing,the existing signature schemes have low efficiency in multi-signature ***,it is necessary to design an efficient multi-signature verification scheme while ensuring *** this paper,a batch-verifiable signature scheme is proposed based on the crowd-sensing background,which supports the sensing platform to verify the uploaded multiple signature data efficiently,so as to overcoming the defects of the traditional signature scheme in multi-signature *** our proposal,a method for linking homologous data was presented,which was valuable for incentive mechanism and data *** results showed that the proposed scheme has good performance in terms of security and efficiency in crowd-sensing applications with a large number of users and data.

关键词： 5G network Crowd-sensing privacy protection Ring signature Batch verification

A privacy protection Strategy for Source Location in WSN Based on Angle and Dynamical Adjustment of Node Emission Radius

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Chinese Journal of Electronics 2017年第5期26卷 1064-1072页

作者： JIA Zongpu WEI Xiaojuan GUO Hairu PENG Weiping SONG Cheng College of Computer Science and Technology Henan Polytechnic University

We propose two novel methods to improve the source location privacy security protection and the node energy utilization in Wireless sensor networks(WSN).A privacy preservation protocol for source location in WSN based on angles(APS) and an Enhanced protocol for source location(EAPS),which dynamically adjusts emission radius during *** APS protocol produces geographically dispersed phantom source nodes and utilizes the energy from the energy-abundant regions to make the routing path versatile among the entire *** the EAPS protocol,according to the number of its own adjacent nodes,residual energy and the distance to the base station,a node adjusts its radius *** show that the two novel protocols can improve the security and take advantage of the residual energy in the network balance the network life and energy consumption in comparison with the existing routing protocols based on the phantom sources.

关键词： Wireless sensor networks(WSN) Source-location privacy protection Phantom source nodes Security time

Achieving adaptively secure data access control with privacy protection for lightweight IoT devices

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Science China(Information Sciences) 2021年第6期64卷 144-157页

作者： Zhitao GUAN Wenti YANG Liehuang ZHU Longfei WU Ruimiao WANG School of Control and Computer Engineering North China Electric Power University School of Computer Beijing Institute of Technology Department of Mathematics and Computer Science Fayetteville State University

The Internet of things(IoT) technology has been used in a wide range of fields, ranging from industrial manufacturing to daily lives. The IoT system contains numerous resource-constrained lightweight devices such as wireless sensors and radio frequency identification(RFID) tags. A massive amount of sensitive data is generated and transmitted by these devices to a variety of users. The complexity of the IoT system places a high demand on security. Therefore, it is necessary to develop an encryption scheme with access control to provide flexible and secure access to the sensitive data. The ciphertext policy attribute-based encryption(CP-ABE) scheme is a potential solution. However, the long ciphertext as well as the slow encryption and decryption operations in traditional ABE schemes make it inappropriate for most IoT systems,which require low latency and contain many devices with limited memory size and computing capability. In this paper, we propose a modified CP-ABE scheme with constant length of ciphertext and low computation overhead in the encryption and decryption phases. Additionally, our scheme is proven to be adaptively secure under the standard model. Moreover, two enhanced schemes are developed to prevent authorized users from leaking data and protect the privacy of data owners by combining chameleon hash, bloom filters and CP-ABE, respectively. Finally, the experimental evaluation and analysis prove the feasibility of our scheme.

关键词： IoT CP-ABE constant-size ciphertexts adaptively secure privacy protection

A Differential privacy protection Protocol Based on Location Entropy

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Tsinghua Science and Technology 2023年第3期28卷 452-463页

作者： Ping Guo Baopeng Ye Yuling Chen Tao Li Yixian Yang Xiaobin Qian Xiaomei Yu State Key Laboratory of Public Big Data School of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China Information Technology Innovation Service Center of Guizhou Province Guiyang 550025China School of Cyberspace Security Beijing University of Posts and TelecommnuicationsBeijing 100000China Guizhou CoVision Science&Technology Co. Ltd.Guiyang 550025China School of Information Science and Engineering Shandong Normal UniversityJinan 250000China

A Location-Based Service(LBS)refers to geolocation-based services that bring both convenience and *** an increase in the scale and value of data,most existing location privacy protection protocols cannot balance privacy and *** solve the revealing problems in LBS,we propose a differential privacy protection protocol based on location ***,we design an algorithm of the best-assisted user selection for constructing anonymity ***,we employ smart contracts to evaluate the credibility of participants,which ensures the honesty of ***,we provide a comprehensive experiment;the theoretical analysis and experiments show that the proposed protocol effectively resists background knowledge ***,our protocol improves data ***,it realizes user-controllable privacy protection,which improves privacy protection and strengthens security.

关键词： Location-Based Services(LBS) smart contract location entropy differential privacy privacy protection

Research on k-anonymity privacy protection scheme based on bilinear pairings

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The Journal of China Universities of Posts and Telecommunications 2018年第5期25卷 12-19页

作者： Song Cheng Zhang Yadong Wang Lei Liu Zhizhong College of Computer Science and Technology ( Software College) Henan Polytechnic University

Aimed at enhancing privacy protection of location-based services（ LBS） in mobile Internet environment,an improved privacy scheme of high service quality on the basis of bilinear pairings theory and k-anonymity is proposed. In circular region of Euclidian distance,mobile terminal evenly generates some false locations,from which half optimal false locations are screened out according to position entropy,location and mapping background information. The anonymity obtains the effective guarantee,so as to realize privacy protection. Through security analyses,the scheme is proved not only to be able to realize such security features as privacy,anonymity and nonforgeability,but also able to resist query tracing attack. And the result of simulation shows that this scheme not only has better evenness in selecting false locations,but also improves efficiency in generating and selecting false nodes.

关键词： location-based services (LBS) bilinear pairings k-anonymity privacy protection

Redundant Data Detection and Deletion to Meet privacy protection Requirements in Blockchain-Based Edge Computing Environment

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China Communications 2024年第3期21卷 149-159页

作者： Zhang Lejun Peng Minghui Su Shen Wang Weizheng Jin Zilong Su Yansen Chen Huiling Guo Ran Sergey Gataullin Cyberspace Institute Advanced Technology Guangzhou UniversityGuangzhou 510006China College of Information Engineering Yangzhou UniversityYangzhou 225127China School Math&Computer Science Quanzhou Normal UniversityQuanzhou 362000China Computer Science Department City University of Hong KongHong Kong 999077China School of Computer and Software Nanjing University of Information Science and TechnologyNanjing 21004China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityHefei 230601China Department of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou 325035China Guangzhou University Library Guangzhou UniversityGuangzhou 510006China Central Economic and Mathematics Institute Russian Academy of Sciences MIREA-Russian Technological University Moscow RegionRussia

With the rapid development of information technology,IoT devices play a huge role in physiological health data *** exponential growth of medical data requires us to reasonably allocate storage space for cloud servers and edge *** storage capacity of edge nodes close to users is *** should store hotspot data in edge nodes as much as possible,so as to ensure response timeliness and access hit rate;However,the current scheme cannot guarantee that every sub-message in a complete data stored by the edge node meets the requirements of hot data;How to complete the detection and deletion of redundant data in edge nodes under the premise of protecting user privacy and data dynamic integrity has become a challenging *** paper proposes a redundant data detection method that meets the privacy protection *** scanning the cipher text,it is determined whether each sub-message of the data in the edge node meets the requirements of the hot *** has the same effect as zero-knowledge proof,and it will not reveal the privacy of *** addition,for redundant sub-data that does not meet the requirements of hot data,our paper proposes a redundant data deletion scheme that meets the dynamic integrity of the *** use Content Extraction Signature(CES)to generate the remaining hot data signature after the redundant data is *** feasibility of the scheme is proved through safety analysis and efficiency analysis.

关键词： blockchain data integrity edge computing privacy protection redundant data