Preprint Article Version 1 This version is not peer-reviewed

Implementation of Cutting-Edge Internet Technology to the Improvement of Revenue Generation Using Cyber-Security

Version 1 : Received: 28 September 2019 / Approved: 3 October 2019 / Online: 3 October 2019 (01:45:11 CEST)

How to cite: Oboyi, J.; Udeze, L.C.; Bukie, P.T.; Onoja, E.O. Implementation of Cutting-Edge Internet Technology to the Improvement of Revenue Generation Using Cyber-Security. Preprints 2019, 2019100032 (doi: 10.20944/preprints201910.0032.v1). Oboyi, J.; Udeze, L.C.; Bukie, P.T.; Onoja, E.O. Implementation of Cutting-Edge Internet Technology to the Improvement of Revenue Generation Using Cyber-Security. Preprints 2019, 2019100032 (doi: 10.20944/preprints201910.0032.v1).

Abstract

The need for the most accurate and flexible system of revenue collection from internal sources has become a matter of extreme urgency and importance in e-governance. This need underscores the eagerness on the part of the Government to look for a new principle and policy of revenue collection or to become aggressive and innovative in the mode of collecting revenue from existing sources using the present system. The Boards of some Governments in Africa, even up to the moment are facing a lot of setbacks in performing their tasks due to the manual system of revenue collection from the public. This can be improved through an effective collection of revenue using the most accurate and flexible system. Tax is usually collected in the form of specific sales tax, general sales tax, corporate income tax, individual income tax, property tax and inheritance tax. Problems such as high cost of collection, fraud, underpayment, leakage in revenue, poor access to information, poor tracking of defaulters is at the increase. As a result of this, there is need to computerize the revenue collection system. Computerized systems have proven to introduce massive efficiencies and quick collection of revenue from the public. This research work demonstrates how to design and implement an automated system of revenue collection and how to maintain a secured database for collected tax information. This research delves into the study of how machine learning algorithms and Software-defined Networks improve the security of such automated systems.

Subject Areas

computerized revenue collection; machine learning; cyber security; software defined networks; object-oriented programming; online database management

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