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| 1 | Overview of 5G security technology显示文摘The 5 th-generation mobile communication system(5 G) has higher security requirements than previous systems. Accordingly, international standard organizations, operators, and equipment manufacturers are focusing extensively on 5 G security technology. This paper analyzes the security requirements of 5 G business applications, network architecture, the air interface, and user privacy. The development trends of5 G security architecture are summarized, with a focus on endogenous defense architecture, which represents a new trend in 5 G security development. Several incremental 5 G security technologies are reviewed, including physical layer security, lightweight encryption, network slice security, user privacy protection, and block chain technology applied to 5 G. | Xinsheng JI Kaizhi HUANG Liang JIN Hongbo TANG Caixia LIU Zhou ZHONG Wei YOU Xiaoming XU Hua ZHAO Jiangxing WU Ming YI | 2018 | Science China(Information Sciences)2018，61，8： | 14 |
| 2 | Lattice-Based Double-Authentication-Preventing Ring Signature for Security and Privacy in Vehicular Ad-Hoc Networks显示文摘Amidst the rapid development of the Internet of Things (loT), Vehicular Ad-Hoc NETwork (VANET), a typical loT application, are bringing an ever-larger number of intelligent and convenient services to the daily lives of individuals. However, there remain challenges for VANETs in preserving privacy and security. In this paper, we propose the first lattice-based Double-Authentication-Preventing Ring Signature (DAPRS) and adopt it to propose a novel privacy-preserving authentication scheme for VANETs, offering the potential for security against quantum computers. The new construction is proven secure against chosen message attacks. Our scheme is more efficient than other ring signature in terms of the time cost of the message signing phase and verification phase, and also in terms of signature length. Analyses of security and efficiency demonstrate that our proposed scheme is provably secure and efficient in the application. | Jinhui Liu Yong Yu Jianwei Jia Shijia Wang Peiru Fan Houzhen Wang Huanguo Zhang | 2019 | Tsinghua Science and Technology2019，24，5： | 10 |
| 3 | NC-MACPABE: Non-centered multi-authority proxy re-encryption based on CP-ABE for cloud storage systems显示文摘The cloud storage service cannot be completely trusted because of the separation of data management and ownership, leading to the difficulty of data privacy protection. In order to protect the privacy of data on untrusted servers of cloud storage, a novel multi-authority access control scheme without a trustworthy central authority has been proposed based on CP-ABE for cloud storage systems, called non-centered multi-authority proxy re-encryption based on the cipher-text policy attribute-based encryption(NC-MACPABE). NC-MACPABE optimizes the weighted access structure(WAS) allowing different levels of operation on the same file in cloud storage system. The concept of identity dyeing is introduced to improve the users' information privacy further. The re-encryption algorithm is improved in the scheme so that the data owner can revoke user's access right in a more flexible way. The scheme is proved to be secure. And the experimental results also show that removing the central authority can resolve the existing performance bottleneck in the multi-authority architecture with a central authority, which significantly improves user experience when a large number of users apply for accesses to the cloud storage system at the same time. | 徐小龙 张栖桐 周静岚 | 2017 | Journal of Central South University2017，24，4： | 9 |
| 4 | 嵌入PbD理论的云图书馆隐私管理架构显示文摘用户隐私安全已成为云图书馆发展过程中亟待解决的关键问题。文章在讨论云图书馆隐私保护研究现状的基础上,提出嵌入'从设计着手隐私(Privacy by Design,Pb D)'理论的四个隐私管理原则,即隐私界定与分级、隐私数据最小化、隐私保护非零和性及全生命周期的隐私保护,据此构建云图书馆个人隐私管理架构,并探讨其中的关键技术和隐私风险评估方法。 | 曾子明 秦思琪 | 2017 | 图书馆论坛2017，37，1： | 9 |
| 5 | Ethical Principles and Governance Technology Development of AI in China显示文摘Ethics and governance are vital to the healthy and sustainable development of artificial intelligence(AI).With the long-term goal of keeping AI beneficial to human society,governments,research organizations,and companies in China have published ethical guidelines and principles for AI,and have launched projects to develop AI governance technologies.This paper presents a survey of these efforts and highlights the preliminary outcomes in China.It also describes the major research challenges in AI governance research and discusses future research directions. | Wenjun Wu Tiejun Huang Ke Gong | 2020 | Engineering2020，6，3： | 8 |
| 6 | Toward Privacy-Preserving Personalized Recommendation Services显示文摘 | CongWang Yifeng Zheng Jinghua Jiang Kui Ren | 2018 | Engineering2018，4，1： | 7 |
| 7 | Enhanced Reconfigurable Intelligent Surface Assisted mmWave Communication: A Federated Learning显示文摘Reconfigurable intelligent surface(RIS)has been proposed as a potential solution to improve the coverage and spectrum efficiency for future wireless communication.However,the privacy of users’data is often ignored in previous works,such as the user’s location information during channel estimation.In this paper,we propose a privacy-preserving design paradigm combining federated learning(FL)with RIS in the mmWave communication system.Based on FL,the local models are trained and encrypted using the private data managed on each local device.Following this,a global model is generated by aggregating them at the central server.The optimal model is trained for establishing the mapping function between channel state information(CSI)and RIS’configuration matrix in order to maximize the achievable rate of the received signal.Simulation results demonstrate that the proposed scheme can effectively approach to the theoretical value generated by centralized machine learning(ML),while protecting user’privacy. | Lixin Li Donghui Ma Huan Ren Dawei Wang Xiao Tang Wei Liang Tong Bai | 2020 | China Communications2020，17，10： | 6 |
| 8 | 基因信息与保险:社会政策与法理分析显示文摘壹、概论:使用人类基因信息的影响与伦理疑虑一、基因信息在保险上的价值保险是一种处理不确定性的产业。由于无所不在的不确定性构成了人类生活的风险,保险便成为人们以集体行动降低风险威胁的重要社会制度。 | 何建志 | 2002 | 北大法律评论2002，3，1： | 5 |
| 9 | Research on Data Privacy Protection Algorithm with Homomorphism Mechanism Based on Redundant Slice Technology in Wireless Sensor Networks显示文摘Wireless transmission method in wireless sensor networks has put forward higher requirements for private protection technology. According to the packet loss problem of private protection algorithm based on slice technology, this paper proposes the data private protection algorithm with redundancy mechanism, which ensures privacy by privacy homomorphism mechanism and guarantees redundancy by carrying hidden data. Moreover,it selects the routing tree generated by CTP(Collection Tree Protocol) as routing path for data transmission. By dividing at the source node, it adds the hidden information and also the privacy homomorphism. At the same time,the information feedback tree is established between the destination node and the source node. In addition, the destination node immediately sends the packet loss information and the encryption key via the information feedback tree to the source node. As a result,it improves the reliability and privacy of data transmission and ensures the data redundancy. | Peng Li Chao Xu He Xu Lu Dong Ruchuan Wang | 2019 | China Communications2019，16，5： | 4 |
| 10 | A Method for Time-Series Location Data Publication Based on Differential Privacy显示文摘In the age of information sharing, logistics information sharing also faces the risk of privacy leakage. In regard to the privacy leakage of time-series location information in the field of logistics, this paper proposes a method based on differential privacy for time-series location data publication. Firstly, it constructs public region of interest(PROI) related to time by using clustering optimal algorithm. And it adopts the method of the centroid point to ensure the public interest point(PIP) representing the location of the public interest zone. Secondly, according to the PIP, we can construct location search tree(LST) that is a commonly used index structure of spatial data, in order to ensure the inherent relation among location data. Thirdly, we add Laplace noise to the node of LST, which means fewer times to add Laplace noise on the original data set and ensures the data availability. Finally, experiments show that this method not only ensures the security of sequential location data publishing, but also has better data availability than the general differential privacy method, which achieves a good balance between the security and availability of data. | KANG Haiyan ZHANG Shuxuan JIA Qianqian | 2019 | Wuhan University Journal of Natural Sciences2019，24，2： | 4 |
| 11 | A Privacy-Based SLA Violation Detection Model for the Security of Cloud Computing显示文摘A Service Level Agreement(SLA) is a legal contract between any two parties to ensure an adequate Quality of Service(Qo S). Most research on SLAs has concentrated on protecting the user data through encryption. However, these methods can not supervise a cloud service provider(CSP) directly. In order to address this problem, we propose a privacy-based SLA violation detection model for cloud computing based on Markov decision process theory. This model can recognize and regulate CSP's actions based on specific requirements of various users. Additionally, the model could make effective evaluation to the credibility of CSP, and can monitor events that user privacy is violated. Experiments and analysis indicate that the violation detection model can achieve good results in both the algorithm's convergence and prediction effect. | Shengli Zhou Lifa Wu Canghong Jin | 2017 | China Communications2017，14，9： | 4 |
| 12 | Privacy-Preserving Algorithms for Multiple Sensitive Attributes Satisfying t-Closeness显示文摘Although k-anonymity is a good way of publishing microdata for research purposes, it cannot resist severalcommon attacks, such as attribute disclosure and the similarity attack. To resist these attacks, many refinements of k-anonymity have been proposed with t-closeness being one of the strictest privacy models. While most existing t-closenessmodels address the case in which the original data have only one single sensitive attribute, data with multiple sensitiveattributes are more common in practice. In this paper, we cover this gap with two proposed algorithms for multiple sensitiveattributes and make the published data satisfy t-closeness. Based on the observation that the values of the sensitive attributesin any equivalence class must be as spread as possible over the entire data to make the published data satisfy t-closeness,both of the algorithms use different methods to partition records into groups in terms of sensitive attributes. One uses aclustering method, while the other leverages the principal component analysis. Then, according to the similarity of quasi-identifier attributes, records are selected from different groups to construct an equivalence class, which will reduce the lossof information as much as possible during anonymization. Our proposed algorithms are evaluated using a real dataset. Theresults show that the average speed of the first proposed algorithm is slower than that of the second proposed algorithm butthe former can preserve more original information. In addition, compared with related approaches, both proposed algorithmscan achieve stronger protection of privacy and reduce less. | Rong Wang Yan Zhu Tung-Shou Chen Chin-Chen Chang | 2018 | Journal of Computer Science & Technology2018，33，6： | 4 |
| 13 | Identifying the vulnerabilities of bitcoin anonymous mechanism based on address clustering显示文摘The anonymity mechanism of bitcoin is favored by the society, which promotes its usage and development. An adversary should not be able to discover the relation between bitcoin addresses and bitcoin users to ensure effective privacy. However, the relation among bitcoin transactions can be used to analyze the bitcoin privacy information, which seriously jeopardizes the bitcoin anonymity. Herein, we describe the vulnerabilities associated with the anonymity mechanism of bitcoin, including the relation among bitcoin addresses and the relation among bitcoin users. Further, we demonstrate that the existing methods do not guarantee the comprehensiveness, accuracy, and efficiency of the analysis results. We propose a heuristic clustering method to judge the relation among bitcoin addresses and employ the Louvain method to discover the relation among bitcoin users. Subsequently, we construct an address-associated database of historical transactions and implement real-time updates. Extensive experiments are used to demonstrate the comprehensiveness, accuracy, and efficiency of the proposed scheme. Specifically, the proposed scheme reveals the privacy vulnerability associated with the blockchain technology. We expect that our scheme can be applied to improve the blockchain technology. | Baokun ZHENG Liehuang ZHU Meng SHEN Xiaojiang DU Mohsen GUIZANI | 2020 | Science China(Information Sciences)2020，63，3： | 4 |
| 14 | A survey of edge computing-based designs for IoT security显示文摘Pervasive IoT applications enable us to perceive,analyze,control,and optimize the traditional physical systems.Recently,security breaches in many IoT applications have indicated that IoT applications may put the physical systems at risk.Severe resource constraints and insufficient security design are two major causes of many security problems in IoT applications.As an extension of the cloud,the emerging edge computing with rich resources provides us a new venue to design and deploy novel security solutions for IoT applications.Although there are some research efforts in this area,edge-based security designs for IoT applications are still in its infancy.This paper aims to present a comprehensive survey of existing IoT security solutions at the edge layer as well as to inspire more edge-based IoT security designs.We first present an edge-centric IoT architecture.Then,we extensively review the edge-based IoT security research efforts in the context of security architecture designs,firewalls,intrusion detection systems,authentication and authorization protocols,and privacy-preserving mechanisms.Finally,we propose our insight into future research directions and open research issues. | Kewei Sha T.Andrew Yang Wei Wei Sadegh Davari | 2020 | Digital Communications and Networks2020，6，2： | 3 |
| 15 | Reporting and understanding the safety and adverse effect profile of mobile apps for psychosocial interventions: An update显示文摘Recent years have seen a rapidly increasing trend towards the delivery of health technology through mobile devices. Smartphones and tablet devices are thus becoming increasingly popular for accessing information and a wide range of services, including health care services. Modern mobile apps can be used for a variety of reasons, ranging from education for the patients and assistance to clinicians to delivery of interventions. Mobile phone apps have also been established to benefit patients in a scope of interventions across numerous medical specialties and treatment modalities. Medical apps have their advantages and disadvantages. It is important that clinicians have access to knowledge to make decisions regarding the use of medical apps on the basis of risk-benefit ratio. Mobile apps that deliver psycho social interventions offer unique challenges and opportunities. A number of reviews have highlighted the potential use of such apps. There is a need to describe, report and study their side effects too. The adverse effects associated with these apps can broadly be divided into:(1) those resulting from the security and safety concerns;(2) those arising from the use of a particular psycho social intervention; and(3) those due to the interaction with digital technology. There is a need to refine and reconsider the safety and adverse effects in this area. The safety profile of a mobile PSI app should describe its safety profile in:(1) privacy and security;(2) adverse effects of psychotherapy; and(3) adverse effects unique to the use of apps and the internet. This is, however, a very new area and further research and reporting is required to inform clinical decision making. | Farooq Naeem Nadeem Gire Shuo Xiang Megan Yang Yumeen Syed Farhad Shokraneh Clive Adams Saeed Farooq | 2016 | World Journal of Psychiatry2016，6，2： | 3 |
| 16 | Differentially private high-dimensional data publication via grouping and truncating techniques显示文摘The count of one column for high-dimensional datasets, i.e., the number of records containing this column, has been widely used in nuinerous applications such as analyzing popular spots based on check-in location information and mining valuable items from shopping records. However, this poses a privacy threat when directly publishing this information. Differential privacy (DP), as a notable paradigm for strong privacy guarantees, is thereby adopted to publish all column counts. Prior studies have verified that truncating records or grouping columns can effectively improve the accuracy of published results. To leverage the advantages of the two techniques, we combine these studies to further boost the accuracy of published results. However, the traditional penalty function, which measures the error imported by a given pair of parameters including truncating length and group size, is so sensitive that the derived parameters deviate from the optimal parameters significantly. To output preferable parameters, we first design a smart penalty function that is less sensitive than the traditional function. Moreover, a two-phase selection method is proposed to compute these parameters efficiently, together with the improvement in accuracy. Extensive experiments on a broad spectrum of real-world datasets validate the effectiveness of our proposals. | Ning WANG Yu GU Jia XU Fangfang LI Ge YU | 2019 | Frontiers of Computer Science2019，13，2： | 3 |
| 17 | Publishing Social Graphs with Differential Privacy Guarantees Based on wPINQ显示文摘To publish social graphs with differential privacy guarantees for reproducing valuable results of scientific researches, we study a workflow for graph synthesis and propose an improved approach based on weighted Privacy integrated query(wPINQ). The workflow starts with a seed graph to fit the noisy degree sequence, which essentially is the 1K-graph. In view of the inaccurate assortativity coefficient, we truncate the workflow to replace the seed graph with an optimal one by doing target 1K-rewiring while preserving the 1K-distribution. Subsequently, Markov chain Monte Carlo employs the new seed graph as the initial state, and proceeds step by step guided by the information of Triangles by intersect to increase the number of triangles in the synthetic graphs. The experimental results show that the proposed algorithm achieves better performance for the published social graphs. | LI Xiaoye YANG Jing SUN Zhenlong ZHANG Jianpei | 2019 | Chinese Journal of Electronics2019，28，2： | 2 |
| 18 | Blockchain for Transparent Data Management Toward 6G显示文摘The wealth of user data acts as a fuel for network intelligence toward the sixth generation wireless networks(6G).Due to data heterogeneity and dynamics,decentralized data management(DM)is desirable for achieving transparent data operations across network domains,and blockchain can be a promising solution.However,the increasing data volume and stringent data privacy-preservation requirements in 6G bring significantly technical challenge to balance transparency,efficiency,and privacy requirements in decentralized blockchain-based DM.In this paper,we investigate blockchain solutions to address the challenge.First,we explore the consensus protocols and scalability mechanisms in blockchains and discuss the roles of DM stakeholders in blockchain architectures.Second,we investigate the authentication and authorization requirements for DM stakeholders.Third,we categorize DM privacy requirements and study blockchain-based mechanisms for collaborative data processing.Subsequently,we present research issues and potential solutions for blockchain-based DM toward 6G from these three perspectives.Finally,we conclude this paper and discuss future research directions. | Xuemin(Sherman)Shen Dongxiao Liu Cheng Huang Liang Xue Han Yin Weihua Zhuang Rob Sun Bidi Ying | 2022 | Engineering2022，8，1： | 2 |
| 19 | A Privacy Protection Method for Continuous Query Based on Location Services显示文摘To solve the problem that the traditional location-based services anonymity model is not applied to the continuous query, quasi real-time cloak algorithm (QR-TCA) has been proposed, and the non-delay cloak model (N-DCM) has been established. After comprehensive analysis of location-based continuous query privacy protection models, a model that can solve the user service delay problem is proposed, which can provide the users with quasi-real time location-based services. The experiment measures the N-DCM model with multiple dimensions, such as service response time and service quality of standard datasets. The experiment results show that the method is suitable for continuous query location privacy protection and can effectively protect the user's location privacy. | HU Wenling WANG Yongli ZHANG Gongxuan | 2013 | Wuhan University Journal of Natural Sciences2013，18，5： | 2 |
| 20 | Dataflow Management in the Internet of Things: Sensing,Control, and Security显示文摘The pervasiveness of the smart Internet of Things(IoTs) enables many electric sensors and devices to be connected and generates a large amount of dataflow. Compared with traditional big data, the streaming dataflow is faced with representative challenges, such as high speed, strong variability, rough continuity, and demanding timeliness, which pose severe tests of its efficient management. In this paper, we provide an overall review of IoT dataflow management. We first analyze the key challenges faced with IoT dataflow and initially overview the related techniques in dataflow management, spanning dataflow sensing, mining, control, security, privacy protection,etc. Then, we illustrate and compare representative tools or platforms for IoT dataflow management. In addition,promising application scenarios, such as smart cities, smart transportation, and smart manufacturing, are elaborated,which will provide significant guidance for further research. The management of IoT dataflow is also an important area, which merits in-depth discussions and further study. | Dawei Wei Huansheng Ning Feifei Shi Yueliang Wan Jiabo Xu Shunkun Yang Li Zhu | 2021 | Tsinghua Science and Technology2021，26，6： | 2 |
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