Password Recovery for RAR Files Using CUDA

Driven by the insatiable demand of real-time graphics, especially from the market of computer games, graphics processing unit (GPU) is becoming a major computing horsepower during recent years since the performance of GPU is surpassing that of the contemporary CPU. This paper presents our study on h...

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Vydáno v:2009 International Conference on Dependable, Autonomic and Secure Computing s. 486 - 490
Hlavní autoři: Guang Hu, Jianhua Ma, Benxiong Huang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.12.2009
Témata:
AES
Central Processing Unit
Computer architecture
Computer graphics
Coprocessors
Cryptography
CUDA
Electrons
GPU
Hardware
parallel computing
Parallel processing
password recovery
Performance analysis
Process design
ISBN:0769539297, 9781424454204, 1424454204, 9780769539294
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Abstract Driven by the insatiable demand of real-time graphics, especially from the market of computer games, graphics processing unit (GPU) is becoming a major computing horsepower during recent years since the performance of GPU is surpassing that of the contemporary CPU. This paper presents our study on how to efficiently recover the passwords for encrypted RAR files. Our research focus is on the AES key generation processing, which is the most time consuming stage in the whole RAR encryption/decryption process. The design and implementation of the password recovery are based on NVIDIA's CUDA (computer unified device architecture). A CPU-based version is also implemented as a reference and the performance comparison with that of the GPU-based version. In addition, a modified model is proposed to estimate the performance by static analysis of code for and then further assist program optimization.
AbstractList Driven by the insatiable demand of real-time graphics, especially from the market of computer games, graphics processing unit (GPU) is becoming a major computing horsepower during recent years since the performance of GPU is surpassing that of the contemporary CPU. This paper presents our study on how to efficiently recover the passwords for encrypted RAR files. Our research focus is on the AES key generation processing, which is the most time consuming stage in the whole RAR encryption/decryption process. The design and implementation of the password recovery are based on NVIDIA's CUDA (computer unified device architecture). A CPU-based version is also implemented as a reference and the performance comparison with that of the GPU-based version. In addition, a modified model is proposed to estimate the performance by static analysis of code for and then further assist program optimization.
Author Guang Hu
Jianhua Ma
Benxiong Huang
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  surname: Guang Hu
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  organization: Dept. of Electron & Inf., Huazhong Univ. of Sci. & Technol., Wuhan, China
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  surname: Jianhua Ma
  fullname: Jianhua Ma
  organization: Fac. of Comput. & Inf. Sci., Hosei Univ., Tokyo, Japan
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  surname: Benxiong Huang
  fullname: Benxiong Huang
  organization: Dept. of Electron & Inf., Huazhong Univ. of Sci. & Technol., Wuhan, China
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Snippet Driven by the insatiable demand of real-time graphics, especially from the market of computer games, graphics processing unit (GPU) is becoming a major...
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StartPage 486
SubjectTerms AES
Central Processing Unit
Computer architecture
Computer graphics
Coprocessors
Cryptography
CUDA
Electrons
GPU
Hardware
parallel computing
Parallel processing
password recovery
Performance analysis
Process design
Title Password Recovery for RAR Files Using CUDA
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