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Fri, Nov 3, 11:30 - 11:55, Champagne Paper (refereed)

Recommended Citation: Omar, A, A Kwanbunbumpen, and G S Alijani. Forecasting Computer Crime Complaints. In The Proceedings of the Information Systems Education Conference 2006, v 23 (Dallas): §2354. ISSN: 1542-7382. (A later version appears in Information Systems Education Journal 5(14). ISSN: 1545-679X.)

Forecasting Computer Crime Complaints

Refereed

10 pages

Adnan Omar    [a1] [a2]
BS/MS Management Information Systems
Southern University at New Orleans    [u1] [u2]
New Orleans, Louisiana, USA    [c1] [c2]

Ada Kwanbunbumpen    [a1] [a2]
Computer Information Systems Department
Southern University at New Orleans    [u1] [u2]
New Orleans, Louisiana, USA    [c1] [c2]

Ghasem S. (David) Alijani    [a1] [a2]
Computer Information Systems Department
Southern University at New Orleans    [u1] [u2]
New Orleans, Louisiana, USA    [c1] [c2]

Computer crime forecasts unethical behavior in the business environment as well as in society as a whole. Today’s society is extant with countless examples of how destructive and far-reaching unethical actions can be. From large-scale embezzlement and fraud in the business world to the inclination of unethical computer deceit, unethical behavior destroys society’s moral fiber. The principle function of this paper is to gather and investigate related unethical computer doings, examine the trend of unethical behavior from data collected to forecast computer crime complaints, and recommend ways to minimize the ever-growing phenomenon of computer crime. The goal of this research is to forecast the incidence of computer crime based on given data using the linear regression equation. The results of this study indicate the potential of increasing computer crimes. To minimize computer crime requires a combination of aggressive legislation, new technology solutions and increased public awareness.

Keywords: computer crime, ethics, linear regression, security, technology

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