TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
GPU-Accelerated Password Cracking of PDF Files |
| 영문제목(English Title) |
GPU-Accelerated Password Cracking of PDF Files |
| 저자(Author) |
Keonwoo Kim
Sangsu Lee
Dowon Hong
Jae-Cheol Ryou
|
| 원문수록처(Citation) |
VOL 05 NO. 11 PP. 2235 ~ 2253 (2011. 11) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Digital document file such as Adobe Acrobat or MS-Office is encrypted by its own ciphering algorithm with a user password. When this password is not known to a user or a forensic inspector, it is necessary to recover the password to open the encrypted file. Password cracking by brute-force search is a perfect approach to discover the password but a time consuming process. This paper presents a new method of speeding up password recovery on Graphic Processing Unit (GPU) using a Compute Unified Device Architecture (CUDA). PDF files are chosen as a password cracking target, and the Abode Acrobat password recovery algorithm is examined. Experimental results show that the proposed method gives high performance at low cost, with a cluster of GPU nodes significantly speeding up the password recovery by exploiting a number of computing nodes. Password cracking performance is increased linearly in proportion to the number of computing nodes and GPUs. |
| 키워드(Keyword) |
Password cracking
GPU
acceleration of password recovery
brute-force
PDF
|
| 파일첨부 |
PDF 다운로드
|
