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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Bibliographic Details
Published in:2009 International Conference on Dependable, Autonomic and Secure Computing pp. 486 - 490
Main Authors: Guang Hu, Jianhua Ma, Benxiong Huang
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2009
Subjects:
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
Online Access:Get full text
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Summary: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.
ISBN:0769539297
9781424454204
1424454204
9780769539294
DOI:10.1109/DASC.2009.123