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1A survey on cryptographic techniques for protecting big data security:present and forthcoming显示文摘Big data drive multidimensional convergence and profound innovations among industries and provide novel ways of exploring the world.As they significantly create economic and social value,big data meaningfully impact the implementation and management of information security and privacy protection.Cryptographic technologies are used to protect the security and entire life cycle of big data.The demand for this technology is multiplied when the data are stored in the cloud.They are stored in the cloud in the form of ciphertext,and the driving requirement for data retrieval,sharing,and manipulation places the security of data at risk.The all-or-nothing approach of traditional cryptography systems cannot realize the release and processing of data information with flexible and increasingly fine granularity.Consequently,dealing with the relationship between privacy protection and data utilization,as well as navigating the blurry boundaries between subverting either plaintext or ciphertext,has become a research focus of the current cryptographic trend for protecting big data security.Presently,there are many studies designed to solve these limitations.First,security requirements and source encryption mode for future big data systems and applications are elaborated.Then,focusing on the practical security and functionality of the big data life cycle,including storage,retrieval,sharing,calculation,statistical analysis,and utilization,the research being conducted based on those functions is reviewed.For each cryptographic technology that meets the requirement of each type of big data security or application,security and efficiency comments and sufficient comparison analyses of cryptography schemes or protocols are provided;moreover,the current general problems and development trends are expounded.Because the current innovative research on cryptographic technology was primarily based on the development or improvement of a single solution,the study on the security of the entire big data life cycle from a holistic perspective is extremely limited.Finally,based on surveys and integration of cryptographic techniques,a compatible and comprehensive reference cryptographic architecture for big data security(Z-CABDS)is proposed,which can be used to guide each sub-direction to cooperate with each other to achieve the full life cycle security of big data.Moreover,certain challenges,open problems,and thoughts on future research related to the cryptography of big data security from the viewpoint of the entire big data life cycle are addressed,including views on information theory,the intersection and fusion of technologies,and new technology derivation,which aims to provide a good reference and inspiration for follow-up research.Siqi LU Jianhua ZHENG Zhenfu CAO Yongjuan WANG Chunxiang GU 2022Science China(Information Sciences)2022,65,10:1
2去中心基于属性Σ协议的一般性构造及其应用显示文摘基于属性密码因能提供细粒度访问控制和良好的隐私性而成为密码学的研究热点之一。Σ协议是一种三轮公开抛硬币诚实验证者零知识证明协议,在密码学的许多领域有重要应用。首先,将基于属性密码引入到零知识证明领域,研究基于属性Σ协议,给出其定义,刻画其安全模型;其次,基于标准Σ协议、陷门可取样关系和平滑秘密共享方案,给出一个去中心基于属性Σ协议的一般性构造和相应的例子,并证明其安全性;最后,作为去中心基于属性Σ协议的应用,利用Fiat-Shamir转换,得到去中心基于属性签名和去中心基于属性双层签名的一般性构造和相应的例子。效率分析表明,基于属性双层签名方案相比已有的方案在数据长度和计算开销两方面都具有显著的优势。杨晓莉 黄振杰 2021计算机科学与探索2021,15,9:0
3Σ型去中心基于属性身份识别的一般构造显示文摘研究Σ型基于属性身份识别与Σ型基于身份身份识别的关系,提出Σ型去中心基于属性身份识别的一般性构造方案。该方案利用平滑秘密共享方案,将Σ型基于身份身份识别方案转换成Σ型去中心基于属性身份识别方案。利用归约方法,证明了该方案的安全性。通过所提出的构造方案,给出一个Σ型去中心基于属性身份识别实例,并将其与已有的Σ型基于属性身份识别方案进行效率比较分析。分析结果表明,所提方案在数据长度和计算开销两方面都更有优势。提出的方案是去中心的,克服了单个属性机构系统的瓶颈问题和安全弱点,具有更好的适用性。杨晓莉 黄振杰 2021计算机应用研究2021,38,8:0
4基于属性加密的叛逆者追踪技术研究综述显示文摘为了确保数据文件和用户隐私安全,最直接的保护措施是通过加密数据文件实现,只有授权用户才可以使用解密密钥获取所需内容。但该方式存在叛逆者(或恶意的授权用户)将解密密钥泄露或直接参与盗版解密器的构造以获取非法利益的情况,造成数据文件的非法访问和泄露,因此发现并找到叛逆者尤为必要。通过技术手段保证叛逆者身份的真实性和可追踪性是属性基加密的重要研究方向之一。在分析和研究国内外可追踪的属性基加密方案的基础上,介绍叛逆者追踪的基本概念和模型,分别从黑盒追踪和白盒追踪两类主流追踪技术出发,对其叛逆者追踪方案的追踪流程、优缺点、追踪开销、安全性等问题进行深入研讨。最后,总结了基于属性加密的叛逆者追踪技术整体概况,并提出了现阶段存在的问题以及未来可能的研究方向。李莉 朱江文 杨春艳 谢绒娜 2023软件导刊2023,22,12:0
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