Birthmark based identification of software piracy using Haar wavelet

Abstract

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.

Application of Higher Order Haar Wavelet Method for Solving Nonlinear Evolution Equations

“…Recent developments in this area have lead to HWM being treated for multidimensional case [3,4,6] as well an adaptive wavelet method [23]. Other devolopments include nonuniform HWM [48], application in inverse problems [21], identification of software piracy [47], etc.…”

A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation

“…Source code transformation is done for various purposes such as to optimize the efficiency of the source code, minimize the source code, and mostly to hide the identity of source code. Various preservation techniques are used for changing or modifying the source code [18][19][20][21][22]. Practitioners are mostly embedding the watermark or digital signature for protecting the identity and ownership of the source code.…”

Software Birthmark Usability for Source Code Transformation Using Machine Learning Algorithms

“…ese methods include techniques of fingerprinting [1,2], watermarking [3][4][5], and software birthmarks [6][7][8][9][10][11]. e watermark has the weaknesses as it can be removed by approaches of code obfuscations and semantic preserving transformation.…”

“…More features of a software birthmark can eventually present the robustness and effectiveness which will further show the precise detection of transformations or theft made in the software or program. Birthmark of software is established on imperative properties, resilience, and credibility [6]. Credibility depicts that the birthmark of software entails that two programs, which is written independently, should be different.…”