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作 者:王斌[1] 王业[1] 孙齐振 刘徐立 WANG Bin;WANG Ye;Sun Qizhen;LIU Xuli(Xinjiang Agricultural University,Urumqi 830052,China)
机构地区:[1]新疆农业大学,乌鲁木齐830052
出 处:《自动化与仪器仪表》2024年第7期80-84,共5页Automation & Instrumentation
摘 要:信息数据的爆炸式增长使得数据共享态势明显,且云环境存储服务极大便利了对数据的获取和利用,但也无形之中增大了数据泄露及更改风险,容易引发数据安全问题以及人们的恐慌情绪。因此,研究基于传统哈希算法在加密领域中的优势,从可扩展精度混沌理论加入以及云储存数据两方面入手,包括双混沌参数的引入、时间代价及成本花费模型的考虑以及重加密云平台安全架构设计等方面对其进行改进。借助实验测试对应用效果进行检验,结果表明,该改进哈希算法通过了安全性和随机性测试,其在密文空间中的均匀性较好,最大运行时间明显与其他算法之间存在至少600 ms的差值,搜索质量较好,其在信息泄露、身份伪造以及安全漏洞攻击方面的安全率均超过85%。研究提出的算法能有效为互联网数据共享以及云安全保障技术提供借鉴价值。The explosive growth of information data has led to a significant trend in data sharing,and cloud storage services have greatly facilitated the acquisition and utilization of data.However,they have also invisibly increased the risk of data leakage and changes,which can easily lead to data security issues and panic among people.Therefore,based on the advantages of traditional hash algorithms in the field of encryption,this study starts with the addition of scalable precision chaos theory and cloud storage of data,including the introduction of dual chaos parameters,consideration of time and cost models,and the design of security architecture for re encrypted cloud platforms.The application effectiveness was verified through experimental testing,and the results showed that the improved hash algorithm passed security and randomness tests.Its uniformity in ciphertext space was good,and there was a significant difference of at least 600ms in maximum runtime compared to other algorithms.The search quality was good,and its security rate in information leakage,identity forgery,and security vulnerability attacks exceeded 85%.The algorithm proposed in the study can effectively provide reference value for internet data sharing and cloud security guarantee technology.
关 键 词:哈希算法 混沌系统 非对称加密 控制参数 云安全
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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