Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


An Approach of System Similarity Measurement Based on Segmented-Digital-Fingerprint

Liao Gen-Wei
Faculty of Forensic Science, East China University of Political Science and Law, Shanghai, PRC
Research Journal of Applied Sciences, Engineering and Technology  2013  3:437-441
http://dx.doi.org/10.19026/rjaset.6.4098  |  © The Author(s) 2013
Received: August 17, 2012  |  Accepted: September 27, 2012  |  Published: June 15, 2013

Abstract

Analysis and identification on software infringement, which is a time-consuming and complicated work, is always done in lab. However, to check whether suspect software infringes upon other’s copyright quickly is the necessity in software infringement cases. An approach of copyright checking based on digital fingerprint is provided in this study, which computes system similarity through segmenting files to be compared, searching boundaries by sliding window and finding the same digital fingerprints of data blocks with simple and complex hash. The approach fits for finding preliminary evidences on the law enforcement spot of software infringement case, thus it has the attributes of efficiency and reliability.

Keywords:

Compute forensics, digital fingerprint, software infringement, system similarity,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved