一种针对采用SPA-FA 防御措施的RSA 故障分析算法

在对RSA密码算法和安全错误攻击原理进行研究的基础上,以硬件模乘法器实现的模幂算法为分析对象,提出一种针对采用抗SPA-FA防御措施的RSA故障分析算法。攻击者利用在模幂运算过程中对其中的乘数寄存器注入故障,再通过判断最后输出结果的正确性来判断相应密钥位的值,并从3个方面给出算法的可行性分析。结果证明了RSA算法在采用硬件乘法器情况下的安全漏洞,能为有效防护算法的安全和研究提供参考。     

SIMECK密码代数故障攻击研究

针对SIMECK密码给出一种代数故障攻击方法。首先给出SIMECK加密轮函数和密钥生成策略等效代数方程创建方法;分别设定故障已知模型和故障未知模型,并在故障未知模型下提出基于故障注入差分和基于正确/故障密文差分确定故障索引值两种策略创建故障信息方程;利用基于SAT问题求解方程组。结果表明,在SIMECK32/64第24轮注入单比特翻转故障,故障已知模型和基于故障注入差分的故障未知模型均仅需2次注入即可恢复完整64比特主密钥;在第27轮注入故障,基于密文差分的未知模型需9次注入可恢复完整主密钥。与已有研究相比,该攻击密钥搜索复杂度更低,所需故障注入样本量更少。     

基于单位层次树的数据归并算法

为提高数据挖掘处理效率,提出一种基于单位层次树的归并计算方法.以装备维修保障相关数据为例,建立叶子节点的自下而上逐层归并计算模型,对MapReduce并行计算模型进行改进,采用完全分布式模式实现Hadoop Map/Reduce分布式处理架构,实现面向单位层次树的属性约简与数据归并,对MapReduce分布式模型的加速比和可扩展性进行分析.结果表明:该方法取得了较好的效果,具有一定理论价值.     

Secure Data Access and Sharing Scheme for Cloud Storage

Cloud storage is a new storage mode emerged along with the development of cloud computing paradigm. By migrating the data to cloud storage, the consumers can be liberated from building and maintaining the private storage infrastructure, and they can enjoy the data storage service at anywhere and anytime with high reliability and a relatively low cost. However, the security and privacy risks, especially the confidentiality and integrity of data seem to be the biggest hurdle to the adoption of the cloud storage applications. In this paper, we consider the secure data access and sharing issues for cloud storage services. Based on the intractability of the discrete logarithm problem, we design a secure data access and data sharing scheme for cloud storage, where we utilize the user authentication scheme to deal with the data access problem. According to our analysis, through our scheme, only valid user with the correct password and biometric can access to the cloud storage provider. Besides, the authorized users can access the rightful resources and verify the validity of the shared data, but cannot transfer the permission to any other party. At the same time, the confidentiality and integrity of data can be guaranteed.