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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

抗理性敌手共谋的安全K-prototype聚类

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西安电子科技大学学报 2024年第2期51卷 196-210页

作者：田有亮赵敏毕仁万熊金波贵州大学公共大数据国家重点实验室贵州贵阳550025 贵州大学计算机科学与技术学院贵州贵阳550025 贵州大学密码学与数据安全研究所贵州贵阳550025 贵州省密码学与区块链技术特色重点实验室贵州贵阳550025 福建师范大学计算机与网络空间安全学院福建福州350117

针对云环境下数据隐私泄露及聚类过程中云服务器间共谋的问题,提出一种抗理性敌手共谋的安全协作K-prototype聚类方案,目的在不泄露各方隐私数据情况下根据距离度量将相似的数据进行聚类。首先,考虑到同态加密不直接支持非线性计算,基... 详细信息

针对云环境下数据隐私泄露及聚类过程中云服务器间共谋的问题,提出一种抗理性敌手共谋的安全协作K-prototype聚类方案,目的在不泄露各方隐私数据情况下根据距离度量将相似的数据进行聚类。首先,考虑到同态加密不直接支持非线性计算,基于同态加密和加性秘密共享技术设计安全比较协议和安全大于协议,并确保输入数据、中间结果及模型参数均为加性秘密份额形式,以防止单个服务器能够获得完整数据,且能实现非线性函数的精确计算,在已设计的安全计算协议基础上,实现安全距离计算、安全聚类标签更新、安全聚类中心更新、聚类标签及聚类中心重构;其次,根据博弈均衡理论设计多种高效激励机制,构造互制合约及举报合约以约束云服务器诚实非共谋地执行聚类任务;最后,对所提的安全计算协议及合约进行理论分析,并对该方案的性能进行实验验证。实验结果表明,与明文环境下的模型精度相比,该方案的模型精度损失控制在0.22%内,进而验证了所提方案的有效性。

关键词：加性秘密共享同态加密安全计算协议抗共谋安全协作

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面向云存储的属性基双边访问控制方案

通信学报 2024年第4期45卷 128-136页

作者：李琦樊昊源陈伟熊金波韩立东李瑞南京邮电大学计算机学院江苏南京210023 杭州师范大学浙江省密码技术重点实验室浙江杭州311121 南京邮电大学通达学院江苏扬州225127 福建师范大学计算机与网络空间安全学院福建福州350117 西安电子科技大学计算机科学与技术学院陕西西安710071

针对目前云存储中细粒度双边访问控制机制安全模型较弱且外包解密结果缺乏验证的问题,提出了一种面向云存储数据的属性基双边访问控制方案。首先,提出了自适应安全可验证外包双边CP-ABE的形式化定义和安全模型;其次,以此为基础并结合批... 详细信息

针对目前云存储中细粒度双边访问控制机制安全模型较弱且外包解密结果缺乏验证的问题,提出了一种面向云存储数据的属性基双边访问控制方案。首先,提出了自适应安全可验证外包双边CP-ABE的形式化定义和安全模型;其次,以此为基础并结合批量可验证技术在合数阶群上设计了双边访问控制方案,支持数据拥有者与数据使用者同时为对方定义访问策略;最后,安全性分析表明,所提方案在自适应安全模型下针对选择明文攻击与选择消息攻击是不可区分的和存在性不可伪造的。实验结果显示,所提方案减轻了用户端的匹配、解密以及验证阶段的计算开销。

关键词：云存储双边访问控制自适应安全批量可验证外包解密

格上无非交互式零知识证明的两轮三方PAKE协议

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计算机应用 2024年第3期44卷 805-810页

作者：尹新媛郑小建熊金波福建师范大学计算机与网络空间安全学院福州350117

针对现有基于格的三方口令认证密钥交换(PAKE)协议通信轮次较多、执行效率较低等问题,提出一种格上无非交互式零知识证明的两轮三方PAKE协议。首先,利用非适应性近似平滑投影哈希函数实现密钥交换,在不使用非交互式零知识(NIZK)证明的... 详细信息

针对现有基于格的三方口令认证密钥交换(PAKE)协议通信轮次较多、执行效率较低等问题,提出一种格上无非交互式零知识证明的两轮三方PAKE协议。首先,利用非适应性近似平滑投影哈希函数实现密钥交换,在不使用非交互式零知识(NIZK)证明的前提下,降低协议的通信轮数;其次,利用哈希值和投影哈希值构造会话密钥,不需要使用随机预言机,避免了随机预言机导致的潜在口令猜测攻击。在标准模型下给出所提协议的形式化安全证明。仿真结果表明,与基于格的三方PAKE协议相比,所提协议的执行时间在客户端缩短了89.2%~98.6%,在服务器端缩短了19.0%~91.6%。验证了所提协议能够抵抗量子攻击,具有较高的执行效率,同时减少了协议通信轮数。

关键词：格三方密钥交换口令认证密钥交换非交互式零知识可证明安全

基于水印技术的深度神经网络模型知识产权保护

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计算机研究与发展 2024年第10期61卷 2587-2606页

作者：金彪林翔熊金波尤玮婧李璇姚志强福建师范大学计算机与网络空间安全学院福州350117 福建省网络安全与密码技术重点实验室(福建师范大学) 福州350117 阳光学院人工智能学院福州350015

构造一个优秀的深度神经网络(deep neural network,DNN)模型需要大量的训练数据、高性能设备以及专家智慧.DNN模型理应被视为模型所有者的知识产权(intellectual property,IP).保护DNN模型的知识产权也体现了对作为构建和训练该模型的... 详细信息

构造一个优秀的深度神经网络(deep neural network,DNN)模型需要大量的训练数据、高性能设备以及专家智慧.DNN模型理应被视为模型所有者的知识产权(intellectual property,IP).保护DNN模型的知识产权也体现了对作为构建和训练该模型的数据要素价值的珍视.然而,DNN模型容易受到恶意用户的盗取、篡改和非法传播等攻击,如何有效保护其知识产权已成为学术研究的前沿热点与产业亟需攻克的难题.不同于现有相关综述,聚焦DNN模型水印的应用场景,从用于模型版权声明的鲁棒模型水印和用于模型完整性验证的脆弱模型水印2个维度出发,着重评述基于水印技术的DNN模型知识产权保护方法,探讨不同方法的特点、优势及局限性.同时,详细阐述DNN模型水印技术的实际应用情况.最后,在提炼各类方法共性技术的基础上,展望DNN模型知识产权保护的未来研究方向.

关键词：深度神经网络知识产权数据要素鲁棒模型水印脆弱模型水印

Achieving reliable and anti-collusive outsourcing computation and verification based on blockchain in 5G-enabled IoT

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Digital Communications and Networks 2022年第5期8卷 644-653页

作者： Linjie Wang Youliang Tian jinbo xiong School of Data Science Tongren UniversityTongren554300China State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou UniversityGuiyang550025China Fujian Provincial Key Laboratory of Network Security and Cryptology College of Computer and Cyber SecurityFujian Normal UniversityFuzhou350117China

Widespread applications of 5G technology have prompted the outsourcing of computation dominated by the Internet of Things(IoT)cloud to improve transmission efficiency,which has created a novel paradigm for improving the speed of common connected objects in ***,although it makes it easier for ubiquitous resource-constrained equipment that outsources computing tasks to achieve high-speed transmission services,security concerns,such as a lack of reliability and collusion attacks,still exist in the outsourcing *** this paper,we propose a reliable,anti-collusion outsourcing computation and verification protocol,which uses distributed storage solutions in response to the issue of centralized storage,leverages homomorphic encryption to deal with outsourcing computation and ensures data ***,we embed outsourcing computation results and a novel polynomial factorization algorithm into the smart contract of Ethereum,which not only enables the verification of the outsourcing result without a trusted third party but also resists collusion *** results of the theoretical analysis and experimental performance evaluation demonstrate that the proposed protocol is secure,reliable,and more effective compared with state-of-the-art approaches.

关键词： Outsourcing computation Ethereum Smart contract Public verification Homomorphic encryption

面向智慧城市的边缘联邦学习与低开销贡献评估策略

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福建师范大学学报（自然科学版） 2024年第2期40卷 74-82页

作者：吴家鹏龚平林立林铭炜熊金波福建师范大学计算机与网络空间安全学院福建福州350117 福建省公共服务大数据挖掘与应用工程技术研究中心福建福州350117 数字福建大数据安全技术研究所福建福州350117

为改善智慧城市中隐私泄露及算力不足的问题,提出了一种融合边缘计算的联邦学习框架,将复杂的计算任务卸载至拥有更强计算和通信能力的边缘服务器上,提高了模型训练的效率,同时也确保了数据隐私的安全。在联邦学习过程中,提出了一种节... 详细信息

为改善智慧城市中隐私泄露及算力不足的问题,提出了一种融合边缘计算的联邦学习框架,将复杂的计算任务卸载至拥有更强计算和通信能力的边缘服务器上,提高了模型训练的效率,同时也确保了数据隐私的安全。在联邦学习过程中,提出了一种节能且高效的贡献估计算法,旨在激励参与者的持续参与。与现有的贡献估计方法相比,该算法能够有效减少计算和通信开销,并准确地估计各参与者的贡献。

关键词：智慧城市联邦学习边缘计算贡献估计

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A User-Centric Data Secure Creation Scheme in Cloud Computing

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Chinese Journal of Electronics 2016年第4期25卷 753-760页

作者： SU Mang LI Fenghua SHI Guozhen GENG Kui xiong jinbo School of Computer Science and Engineering Nanjing University of Science and Technology State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences Department of Information Security Beijing Electronic Science and Technology Institute State Key Laboratory of Integrated Services Network Xidian University

Due to the use of the cloud computing technology,the ownership is separated from the administration of the data in cloud and the shared data might be migrated between different clouds,which would bring new challenges to data secure creation,especially for the data privacy *** propose a User-centric data secure creation scheme(UCDSC) for the security requirements of resource owners in *** this scheme,a data owner first divides the users into different *** data owner encrypts data and defines different secure managing policies for the data according to *** encrypt the data in UCDSC,we present an algorithm based on Access control conditions proxy re-encryption(ACC-PRE),which is proved to be master secret secure and Chosen-ciphertext attack(CCA) secure in random oracle *** give the application protocols and make the comparisons between some existing approaches and UCDSC.

关键词： User-centric ACC-PRE Data creation Master secret secure CCA

Privacy-preserving edge-assisted image retrieval and classification in IoT

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Frontiers of Computer Science 2019年第5期13卷 1136-1147页

作者： Xuan LI Jin LI Siuming YIU Chongzhi GAO jinbo xiong College of Mathematics and Informatics Fujian Normal University Fuzhou 350117 China Department of Computer Science The University of Hong Kong Hong Kong 999077 China Fujian Provincial Key Laboratory of Network Security and Cryptology Fuzhou 350117 China School of Computational Science and Education Software Guangzhou University Guangzhou 510006 China

Internet of Things (IoT) has drawn much attention in recent years. However, the image data captured by IoT terminal devices are closely related to users, personal information, which are sensitive and should be protected. Though traditional privacy-preserving outsourced computing solutions such as homomorphic cryptographic primitives can support privacy-preserving computing, they consume a significant amount of computation and storage resources. Thus, it becomes a heavy burden on IoT terminal devices with limited resources. In order to reduce the resource consumption of terminal device, we propose an edge-assisted privacy-preserving outsourced computing framework for image processing, including image retrieval and classification. The edge nodes cooperate with the terminal device to protect data and support privacy-preserving computing on the semitrusted cloud server. Under this framework, edge-assisted privacy-preserving image retrieval and classification schemes are proposed in this paper. The security analysis and performance evaluation show that the proposed schemes greatly reduce the computational, communication and storage burden of IoT terminal device while ensuring image data security.

关键词： Internet of Things outsourced computation privacy protection cryptographic primitive image processing

Significant tipping points of sediment microeukaryotes forewarn increasing antibiotic pollution

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Journal of Environmental Sciences 2023年第2期124卷 429-439页

作者： Chaohua Wang Zhiyuan Yao Pingping Zhan Xianghua Yi Jiong Chen jinbo xiong State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products Ningbo UniversityNingbo 315211China School of Marine Sciences Ningbo UniversityNingbo 315211China Institute of Ocean Engineering Ningbo UniversityNingbo 315211China Lanshion Marine Science and Technology Co. Ltd.Ningbo 315715China

Antibiotic pollution imposes urgent threats to public health and microbial-mediated ecological *** studies have primarily focused on bacterial responses to antibiotic pollution,but they ignored the microeukaryotic counterpart,though microeukaryotes are functionally important(e.g.,predators and saprophytes)in microbial ***,we explored how the assembly of sediment microeukaryotes was affected by increasing antibiotic pollution at the inlet(control)and across the outlet sites along a shrimpwastewater discharge *** structures of sedimentmicroeukaryotic community were substantially altered by the increasing nutrient and antibiotic pollutions,whichwere primarily controlled by the direct effects of phosphate and ammonium(−0.645 and 0.507,respectively).In addition,tetracyclines exerted a large effect(0.209),including direct effect(0.326)and indirect effect(−0.117),on the microeukaryotic *** the contrary,the fungal subcommunity was relatively resistant to antibiotic *** analysis depicted nonlinear responses of microeukaryotic genera to the antibiotic pollution gradient,as supported by the significant tipping *** screened 30 antibiotic concentration-discriminatory taxa of microeukaryotes,which can quantitatively and accurately predict(98.7%accuracy)the in-situ antibiotic *** microeukaryotic(except fungal)community is sensitive to antibiotic pollution,and the identified bioindicators could be used for antibiotic pollution diagnosis.

关键词： Increasing antibiotic pollution Microeukaryotic community Non-linear responses Tipping points Antibiotic concentration-discriminatory taxa