TY  - JOUR
T1  - Statistical Correlation Counts of Program Command Sequence for Establishing Copyright Violations
AU - , O.B. Longe AU - , S.C. Chiemeke 
JO  - Asian Journal of Information Technology
VL  - 6
IS  - 1
SP  - 38
EP  - 46
PY  - 2007
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2007.38.46
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2007.38.46
KW  - Copyright
KW  -correlations
KW  -frequencies
KW  -graphs
KW  -identification
KW  -piracy
KW  -protection
KW  -statistics
KW  -validation and violations
AB  - Any consideration that requires proofing that an author’s copyright has been violated, is firstly an endeavor to tackle the general problem of showing that there are grounds for suspicion that a program has been copied in whole or in part, or that it is being used illicitly. The further task is to provide evidence of similarity in order to aid the identification of a program, or program modules concealed in another program as an aid to litigation. Effective protection against piracy combines both legal and technical methods. Legal protection encompasses legislation to protect intellectual property by copyright or contract law etc. Technical methods take advantage of software identification techniques such as watermarking, fingerprinting and birthmarks.  Premised on a software developed by the authors (Christened <I>CoVioChecke</I>r) to count program keywords, this paper introduces the concept of statistical correlation counts as a measure for comparing program codes in order to establish copyright infringement. Results obtained using the program similarity measure show that the measure is 1 if all command in one program are the same with that of another and -1 if all commands in one program are absent in the other. As a standard, similarity measures ranging between 0.7 and 1 could serve as a basis for further probing regarding copyright infringements.
ER  -