Asset Details
Do you wish to reserve the book?
AN EMPIRICAL COMPARISON OF WIDELY ADOPTED HASH FUNCTIONS IN DIGITAL FORENSICS: DOES THE PROGRAMMING LANGUAGE AND OPERATING SYSTEM MAKE A DIFFERENCE?
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
AN EMPIRICAL COMPARISON OF WIDELY ADOPTED HASH FUNCTIONS IN DIGITAL FORENSICS: DOES THE PROGRAMMING LANGUAGE AND OPERATING SYSTEM MAKE A DIFFERENCE?
Do you wish to request the book?
AN EMPIRICAL COMPARISON OF WIDELY ADOPTED HASH FUNCTIONS IN DIGITAL FORENSICS: DOES THE PROGRAMMING LANGUAGE AND OPERATING SYSTEM MAKE A DIFFERENCE?
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
AN EMPIRICAL COMPARISON OF WIDELY ADOPTED HASH FUNCTIONS IN DIGITAL FORENSICS: DOES THE PROGRAMMING LANGUAGE AND OPERATING SYSTEM MAKE A DIFFERENCE?
2015
Overview
Hash functions are widespread in computer sciences and have a wide range of applications such as ensuring integrity in cryptographic protocols, structuring database entries (hash tables) or identifying known files in forensic investigations. Besides their cryptographic requirements, a fundamental property of hash functions is efficient and easy computation which is especially important in digital forensics due to the large amount of data that needs to be processed when working on cases. In this paper, we correlate the runtime efficiency of common hashing algorithms (MD5, SHA-family) and their implementation. Our empirical comparison focuses on C-OpenSSL, Python, Ruby, Java on Windows and Linux and C# and WinCrypto API on Windows. The purpose of this paper is to recommend appropriate programming languages and libraries for coding tools that include intensive hashing processes. In each programming language, we compute the MD5, SHA-1, SHA-256 and SHA-512 digest on datasets from 2 MB to 1 GB. For each language, algorithm and data, we perform multiple runs and compute the average elapsed time. In our experiment, we observed that OpenSSL and languages utilizing OpenSSL (Python and Ruby) perform better across all the hashing algorithms and data sizes on Windows and Linux. However, on Windows, performance of Java (Oracle JDK) and C WinCrypto is comparable to OpenSSL and better for SHA-512.
Publisher
Association of Digital Forensics, Security and Law
Subject
