Title :
Information password recovery with GPU
Author :
Kun-Chi Lu;Angus F.M. Huang;Addison Y.S. Su;Ting-Jou Ding;Chiu-Nan Su
Author_Institution :
Research Center for Advanced Science and Technology, National Central University, Taoyuan, Taiwan (R.O.C.)
Abstract :
The protective techniques of WINZIP files include compressing the original document and encrypting the AES key. If we want to decrypt the WINZIP file, we require very large computing power and techniques of reducing the password space. In this paper, we have developed a GPU-based parallelized computing system to quickly find out the correct password, and the new system can make parallel decryption, decompression and plain text recognition for encrypted WINZIP files by using OpenCL computing technology on graphics cards ATI 6990 and NVIDIA GTX 690. The experimental results have shown that the speed of the GPU-based parallelized computing system increases about 5,670 password/second (depends on the graphics card ATI 6990) compared to sequential execution on the Intel Xeon X5650.
Keywords :
"Graphics processing units","Central Processing Unit","Computers","Ciphers","Parallel processing","Databases"
Conference_Titel :
Security Technology (ICCST), 2015 International Carnahan Conference on
Print_ISBN :
978-1-4799-8690-3
Electronic_ISBN :
2153-0742
DOI :
10.1109/CCST.2015.7389659