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Digital Communications and Networks 2024年第2期10卷 380-388页

作者： Renwan Bi Mingfeng Zhao zuobin ying Youliang Tian Jinbo Xiong Fujian Provincial Key Laboratory of Network Security and Cryptology College of Computer and Cyber SecurityFujian Normal UniversityFuzhou350117China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic TechnologyGuilin541004China Faculty of Data Science City University of Macao999078MacaoChina State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550025China

With the maturity and development of 5G field,Mobile Edge CrowdSensing(MECS),as an intelligent data collection paradigm,provides a broad prospect for various applications in ***,sensing users as data uploaders lack a balance between data benefits and privacy threats,leading to conservative data uploads and low revenue or excessive uploads and privacy *** solve this problem,a Dynamic Privacy Measurement and Protection(DPMP)framework is proposed based on differential privacy and reinforcement ***,a DPM model is designed to quantify the amount of data privacy,and a calculation method for personalized privacy threshold of different users is also ***,a Dynamic Private sensing data Selection(DPS)algorithm is proposed to help sensing users maximize data benefits within their privacy ***,theoretical analysis and ample experiment results show that DPMP framework is effective and efficient to achieve a balance between data benefits and sensing user privacy protection,in particular,the proposed DPMP framework has 63%and 23%higher training efficiency and data benefits,respectively,compared to the Monte Carlo algorithm.

关键词： Mobile edge crowdsensing Dynamic privacy measurement Personalized privacy threshold Privacy protection Reinforcement learning

Adaptively secure ciphertext-policy attribute-based encryption with dynamic policy updating

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Science China(Information Sciences) 2016年第4期59卷 187-202页

作者： zuobin ying Hui LI Jianfeng MA Junwei ZHANG Jiangtao CUI School of Computer Science and Technology Xidian University

Attribute-Based Encryption(ABE) is a promising new cryptographic technique which guarantees fine-grained access control of outsourced encrypted data in the cloud. With the help of ABE, the majority of security issues in accessing cloud data can be solved. However, a key limitation remains, namely policy *** the access policy is updated, a common approach is to have the data owner retrieve the data and reencrypt it with new policy, before sending the new ciphertext back to the cloud. This straight-forward approach will lead to heavy computation and communication overhead. Although a number of other approaches have been proposed in this regard, they suffer from two limitations; namely, supporting only limited update-policy types or having weak security models. In order to address these limitations, we propose a novel solution to the attribute-based encryption access control system by introducing a dynamic policy-updating technique which we call DPU-CP-ABE. The scheme is proved to be adaptively secure under the standard model and can support any type of policy updating. In addition, our scheme can significantly reduce the computation and communication costs of updating ciphertext.

关键词： attribute-based encryption ciphertext-policy dynamic policy updating adaptive secure standard model

P2HBT: Partially Policy Hidden E-Healthcare System with Black-Box Traceability

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Chinese Journal of Electronics 2021年第2期30卷 219-231页

作者： ying zuobin SI Yuanping MA Jianfeng JIANG Wenjie XU Shengmin LIU Ximeng School of Computer Science and Technology Anhui University Institutes of Physical Science and Information Technology Anhui University School of Computer Science and Technology Xidian University School of Information Systems Singapore Management University College of Mathematics and Computer Science Fuzhou University

Electronic health record(EHR), as the core of the e-healthcare system, is an electronic version of patient medical history, which records personal healthrelated information. EHR embodies the value of disease monitoring through large-scale sharing via the Cloud service provider(CSP). However, the health data-centric feature makes EHR more preferable to the adversaries compared with other outsourcing data. Moreover, there may even be malicious users who deliberately leak their access privileges for benefits. An e-healthcare system with a black-box traceable and robust data security mechanism is presented for the first time. Specifically, we propose an effective P2 HBT, which can perform fine-grained access control on encrypted EHRs, prevent the leakage of privacy contained in access policies, and support tracing of *** the standard model, the scheme is proved fully secure. Performance analysis demonstrates that P2HBT can achieve the design goals and outperform existing schemes in terms of storage and computation overhead.

关键词： outsourcing Cloud service provider malicious users effective P2HBT medical information systems partially policy hidden e-healthcare system electronic health record patient medical history security of data diseases black-box traceability data privacy authorisation electronic health records health data-centric feature cloud computing electronic version large-scale sharing access policies cryptography disease monitoring fine-grained access control health care outsourcing data black-box traceable robust data security mechanism encrypted EHRs personal health-related information access privileges EHR

Certificateless Public Key Encryption with Keyword Search

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China Communications 2014年第11期11卷 100-113页

作者： PENG Yanguo CUI Jiangtao PENG Changgen ying zuobin School of Computer Science and Technology Xidian University Xi'an 710071 Shaanxi Province P. R. China College of Science Guizhou University Guiyang 550025 Guizhou Province P. R. China

Public Key Encryption with Keyword Search （PEKS）, an indispensable part of searchable encryption, is stock-in- trade for both protecting data and providing operability of encrypted data. So far most of PEKS schemes have been established on Identity-Based Cryptography （IBC） with key escrow problem inherently. Such problem severely restricts the promotion of IBC-based Public Key Infrastructure including PEKS component. Hence, Certificateless Public Key Cryptography （CLPKC） is efficient to remove such problem. CLPKC is introduced into PEKS, and a general model of Certificateless PEKS （CLPEKS） is formalized. In addition, a practical CLPEKS scheme is constructed with security and efficiency analyses. The proposal is secure channel free, and semantically secure against adaptive chosen keyword attack and keyword guessing attack. To illustrate the superiority, massive experiments are conducted on Enron Email dataset which is famous in information retrieval field. Compared with existed constructions, CLPEKS improves the efficiency in theory and removes the key escrow problem.

关键词： provable secure certificateless public key encryption keyword search

Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles:A level-based coupled optimization method

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Energy and AI 2024年第2期16卷 213-226页

作者： Linxin Zhang Zhile Yang Qinge Xiao Yuanjun Guo zuobin ying Tianyu Hu Xiandong Xu Sohail Khan Kang Li Faculty of Data Science City University of MacaoTaipa999078Macao Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhenGuangdong518055China Tianjin University Tianjin 300072China School of Electronic and Electrical Engineering University of LeedsLeedsLS29JTUK Institute of Applied Sciences&Technology Pak-Austria FachhochschuleHaripurKhyber PakhtunkhwaPakistan

Multi-energy synergy systems integrating high-penetration large-scale plug-in electric vehicles, distributed renewable energy generations, and battery energy storage systems have great potential to reduce the reliance of the grid on traditional fossil fuels. However, the random charging characteristics of plug-in electric vehicles and the uncertainty of photovoltaics may impose an additional burden on the grid and affect the supply–demand equilibrium. To address this issue, judicious scheduling optimization offers an effective solution. In this study, considering charge and discharge management of plug-in electric vehicles and intermittent photovoltaics, a novel Multi-energy synergy systems scheduling framework is developed for solving grid instability and unreliability issues. This formulates a large-scale mixed-integer problem, which calls for a powerful and effective optimizer. The new binary level-based learning optimization algorithm is proposed to address nonlinear large-scale high-coupling unit commitment problems. To investigate the feasibility of the proposed scheme, numerical experiments have been carried out considering multiple scales of unit numbers and various scenarios. Finally, the results confirm that the proposed scheduling framework is reasonable and effective in solving unit commitment problems, can achieve 3.3% cost reduction and demonstrates superior performance in handling large-scale energy optimization problems. The integration of plug-in electric vehicles, distributed renewable energy generations, and battery energy storage systems is verified to reduce the output power of 192.72 MW units during peak periods to improve grid stability. Therefore, optimizing energy utilization and distribution will become an indispensable part of future power systems.

关键词： Electric vehicle Unit commitment Renewable energy Battery energy storage system Synergy optimization

AWI-BS: An adaptive weight incentive for blockchain sharding

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Journal of Information and Intelligence 2023年第2期1卷 87-103页

作者： zuobin ying Laican Song Deng Chen Wusong Lan Ximeng Liu Faculty of Data Science City University of MacaoMacao 999078China National Institute of Education Nanyang Technological UniversitySingapore 999002Singapore College of Computer and Data Science Fuzhou UniversityFuzhou 350000China

The sharding technique enables blockchain to process transactions in parallel by dividing blockchain nodes into small groups,each of which handles a subset of all *** of the issues with blockchain sharding is generating a large number of cross-shard transactions that need to be checked on the output shard as well as the destination *** analysis suggests that the processing efficiency of cross-shard transactions is consistent with the barrel effect,i.e.,that efficiency is more dependent on slower processing *** of the existing studies focus on how to deal with cross-shard transactions,but neglecting the fact that the relative independence between sharding results in different incentive costs between *** perform a sharding analysis on 100,000 real transactions data on Ethereum,and the results show that there is a large difference in gas prices between different shards *** this paper,we propose an Adaptive Weight Incentive(AWI)for Blockchain Sharding,which uses adaptive weight in place of traditional incentive,to address the problem of differing incentive costs for each *** Ethereum as an example,AWI-BS computes the weight of a transaction as a function of a combination of the underlying gas price,the latency of the transaction,and the urgency of the *** the node chooses which transaction to pack based on the ***,we also perform an in-depth analysis of AWI-BS's security and *** evaluation indicates that AWI-BS outperforms the other alternatives in terms of transaction confirmation latency,transaction hit rate,and system throughput.

关键词： Sharding Blockchain Incentive mechanism

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支持位置验证和策略变更的属性加密方案

西安电子科技大学学报 2017年第2期44卷 57-62,190页

作者：应作斌马建峰崔江涛西安电子科技大学计算机学院陕西西安710071

针对云存储移动办公环境中存在用户的位置隐私泄露以及云端密文的访问策略无法直接变更的问题,提出了一种支持位置验证和策略变更的密文策略属性加密方案.使用BGV(Brakerski-GentryVaikuntanathan)同态加密保护用户的位置隐私;使用数据... 详细信息

针对云存储移动办公环境中存在用户的位置隐私泄露以及云端密文的访问策略无法直接变更的问题,提出了一种支持位置验证和策略变更的密文策略属性加密方案.使用BGV(Brakerski-GentryVaikuntanathan)同态加密保护用户的位置隐私;使用数据拥有者生成的变更私钥对云端密文中的访问策略进行直接变更.此外,考虑到移动设备的续航能力有限,将BGV同态的计算、解密以及云端密文的变更计算部分外包给云及认证服务器.实验结果表明,该方案可以极大地节省用户的计算开销.

关键词：密文策略属性加密 BGV同态加密位置验证策略变更

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结合区块链和车辆社交网络的车队成员推荐

西安电子科技大学学报 2020年第5期47卷 122-129页

作者：赵子军应作斌杨钊刘西蒙马建峰安徽大学物质科学与信息技术研究院安徽合肥230601 安徽大学计算机科学与技术学院安徽合肥230601 福州大学数学与计算机科学学院福建福州350108 西安电子科技大学计算机科学与技术学院陕西西安710071

针对车辆社交网络建立车队中存在的安全性和隐私性威胁进而阻碍车队技术发展的问题,提出一种结合区块链和车辆社交网络的自动驾驶车队成员推荐方案。首先,提出一系列安全协议来构成隐私保护的车队推荐算法;其次,融合同态加密和安全多方... 详细信息

针对车辆社交网络建立车队中存在的安全性和隐私性威胁进而阻碍车队技术发展的问题,提出一种结合区块链和车辆社交网络的自动驾驶车队成员推荐方案。首先,提出一系列安全协议来构成隐私保护的车队推荐算法;其次,融合同态加密和安全多方计算来保护数据安全,并降低隐私泄露的风险;最后,结合区块链和车辆社交网络以实现系统的高效运行。安全性证明表明该方案满足隐私保护的要求。此外,实验结果显示,所提出方案的通信成本和计算成本都是可接受的,而且对于车队的组建是可靠有效的。

关键词：车辆通信区块链隐私保护同态加密

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基于区块链的分布式EHR细粒度可追溯方案

通信学报 2021年第5期42卷 205-215页

作者：应作斌斯元平马建峰刘西蒙安徽大学计算机科学与技术学院安徽合肥230601 安徽大学物质科学与信息技术研究院安徽合肥230601 西安电子科技大学网络与信息安全学院陕西西安710071 福州大学数学与计算机科学学院福建福州350108

针对电子健康档案(EHR)在分布式系统中的密钥管理及用户身份追溯问题,提出了一种基于区块链的分布式EHR细粒度可追溯方案。结合变色龙哈希和零知识证明技术实现区块链上节点的注册与身份证明的生成,从而实现区块链上恶意用户的追溯。针... 详细信息

针对电子健康档案(EHR)在分布式系统中的密钥管理及用户身份追溯问题,提出了一种基于区块链的分布式EHR细粒度可追溯方案。结合变色龙哈希和零知识证明技术实现区块链上节点的注册与身份证明的生成,从而实现区块链上恶意用户的追溯。针对密钥管理的单点故障问题,设计了分布式密文策略的属性基加密方案实现安全细粒度的数据访问控制,设置多个解密机构区块链节点联合分发用户节点的属性私钥。安全性分析表明,基于区块链的可追溯分布式密钥生成属性基加密算法是随机预言机模型下自适应安全的,并通过实验证明了所提方案的可行性和实用性。

关键词：电子健康档案区块链追溯密钥管理细粒度访问控制

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在线/离线的可追责属性加密方案

计算机研究与发展 2018年第1期55卷 216-224页

作者：张凯马建峰张俊伟应作斌张涛刘西蒙西安电子科技大学通信工程学院西安710071 西安电子科技大学计算机学院西安710071 安徽大学计算机科学与技术学院合肥230601 新加坡管理大学信息系统学院新加坡178902

作为一种公钥加密,属性加密能够实现细粒度的访问控制.然而,由于在密文策略属性加密中多个用户可能会拥有相同的解密权限,所以抓获那些出售自己私钥的用户是困难的.其次,在密文策略的属性加密中,加密一个消息所要用到的指数运算是随着... 详细信息

作为一种公钥加密,属性加密能够实现细粒度的访问控制.然而,由于在密文策略属性加密中多个用户可能会拥有相同的解密权限,所以抓获那些出售自己私钥的用户是困难的.其次,在密文策略的属性加密中,加密一个消息所要用到的指数运算是随着访问策略复杂性的增长而增长的,由此带来的计算开销对使用移动设备进行加密的用户造成了重大挑战.针对上述问题,给出了在线/离线可追责属性加密的安全模型,然后在素数阶双线性群下构造了一个在线/离线的可追责密文策略属性加密方案,并在标准模型下证明了方案是选择性安全的.当一个恶意用户泄露的自己私钥给别人时,该方案能够通过一个追责算法将其抓获.效率分析表明该方案加密的主要开销是在离线阶段,更适用于移动设备进行加密.此外,所提方案支持大属性域,在实际应用中更加灵活.

关键词：属性加密可追责在线/离线大属性域标准模型