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Birthmark based identification of software piracy using Haar wavelet


Nazir, Shah and Shahzad, Sara and Wirza, Rahmita and Amin, Rohul and Ahsan, Muhammad and Mukhtar, Neelam and Garcia-Magarino, Ivan and Lloret, Jaime (2019) Birthmark based identification of software piracy using Haar wavelet. Mathematics and Computers in Simulation, 166. pp. 144-154. ISSN 0378-4754; ESSN: 1872-7166


Piracy of software is an increasing problem of modern day software industry. Piracy of software is the unlawful use of software or part of it without proper permission as described in license agreement. Software piracy is a serious crime but not taken seriously by most people. Preventing software piracy is very important for the growing software industry. Efforts are being made to prevent and detect software piracy. Several techniques have been developed most important of which is software birthmark. The birthmark of a software is the intrinsic properties of software. A recent research shows that a features based software birthmark can be used as a strong mechanism to detect piracy of a software and how much piracy performed has been performed on it. An objective measure is needed to overcome this problem and to compare features based birthmark of a software which efficiently and precisely detect piracy in reproduction of software. The proposed study presents Haar wavelet collocation method for software features (birthmark) to detect piracy. The proposed method gives an exclusive solution for the features based birthmark of software and is then further used for comparisons of birthmark. The results of the proposed study show the effectiveness in terms of accuracy and efficiency to compare the features based software.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1016/j.matcom.2019.04.010
Publisher: Elsevier
Keywords: Software piracy detection; Software birthmark; Haar wavelet; Partial differential equation
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 15 Oct 2020 22:15
Last Modified: 15 Oct 2020 22:15
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.matcom.2019.04.010
URI: http://psasir.upm.edu.my/id/eprint/80830
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