상세정보
학술지
GPU-Accelerated Password Cracking of PDF Files
- 발행일
- 201111
- 출처
- KSII Transactions on Internet and Information Systems, v.5 no.11, pp.2235-2253
- ISSN
- 1976-7277
- 출판사
- 한국인터넷정보학회
- 협약과제
- 11MS1700, 실시간 분석을 위한 디지털 포렌식 기술 개발, 홍도원
- 초록
- 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. © 2011 KSII.
- KSP 제안 키워드
- Compute Unified Device Architecture(CUDA), GPU-accelerated, Graphic Processing Unit(GPU), High performance, Low-cost, Password cracking, Recovery algorithm, brute-force search, cracking performance, encrypted file, new method