Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (11A): 210900176-5.doi: 10.11896/jsjkx.210900176

• Information Security • Previous Articles     Next Articles

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

LI Hui1, HAN Lin2, TAO Hong-wei3, DONG Ben-song4   

  1. 1 School of Economics,Qingdao Agricultural University,Qingdao,Shandong 266109,China
    2 Henan Supercomputing Centre,Zhengzhou University,Zhengzhou 450000,China
    3 School of Computer and Communication Engineering,Zhengzhou University of Light Industry,Zhengzhou 450002,China
    4 School of Computer and Artificial Intelligence,Zhengzhou University of Economics and Business,Zhengzhou 451191,China
  • Online:2022-11-10 Published:2022-11-21
  • About author:LI Hui,born in 1978,Ph.D,lecturer.His main research interests include risk management and actuarial.
  • Supported by:
    Henan Province Major Science and Technology(201400210600).

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Abstract: 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-1 and 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.

Key words: Big data, Data decryption, SHA-1, AES, Vectorization

CLC Number: 

  • TP391
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