Multiprocessing for Forensics
Abstract
An introduction to multiprocessing using Python. This chapter covers and leverages the Python Standard Library implementation in order to provide the broadest cross platform interoperability. In addition, this chapter focuses on two applications of multiprocessing that are relevant to digital forensics: (1) File Hashing and (2) Rainbow Table generation. The code examples explore and demonstrate the use of the multiprocessing and intertools libraries with a forensic and performance slant.
Keywords
Multiprocessing
Multi-core
Process
Processing pools
Cores
Iteration
Generation
Intertools
Hashing
Rainbow Tables
Passwords
salt
md5
sha256
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