基于申威众核处理器的Office口令恢复向量化研究

Study on Office Password Recovery Vectorization Technology Based on Sunway Many-core Processor

为了满足农业农村大数据应用中数据安全的需求,文章结合Office口令恢复中的计算热点问题,以申威众核处理器为硬件平台,提供了一种向量化密码解算方法。SHA-1和AES函数的解析是方法的核心部分。首先,利用申威众核处理器的特点,对其进行自动向量化研究;其次,通过依赖性分析描述了明文块之间手动向量化过程,给出方法理论层面的可行性结论;最后,为验证方法的正确性和有效性,将Office各个版本的加密文档作为用例,开展多重数据测试,测试结果与传统的口令恢复工具和开源的Hashcat口令恢复工具进行对比。实验结果表明,方法能够有效地提高口令恢复的性能。

In order to meet the needs of data security in agricultural and rural big data applications,the paper combines the hot computing issues in Office password recovery and uses Sunway many-core processors as the hardware platform to provide a vectorized password solution method.The analysis of SHA-1and AES functions is the core part of the method.Firstly,using the characteristics of Sunway many-core processors to conduct automatic vectorization research.Secondly,through dependency analysis,the manual vectorization process between plaintext blocks is described,and the feasibility conclusion of the method theory is given.Finally,to verify the correctness and effectiveness of the method,the encrypted documents of each version of Office are used as use cases,and multiple data tests are carried out.The test results are compared with the traditional password recovery tool and the open-source Hashcat password recovery tool.Experimental results show that the method can effectively improve the performance of password recovery.