Development of Software for Power System and Cybercrime Monitoring
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2018 by IJETT Journal|
|Year of Publication : 2018|
|Authors : Anumaka, M. C
|DOI : 10.14445/22315381/IJETT-V66P211|
MLA Style: Anumaka, M. C "Development of Software for Power System and Cybercrime Monitoring" International Journal of Engineering Trends and Technology 66.2 (2018): 61-66.
APA Style:Anumaka, M. C (2018). Development of Software for Power System and Cybercrime Monitoring. International Journal of Engineering Trends and Technology, 66(2), 61-66.
As the world becomes a global community through the advancement and complexity of power systems triggered the Internet and digital revolutions, which generated the tremendous benefits of the mankind are being challenged because of the formidable menace of energy theft and cybercrime. This project focuses on the development of a software system that will aid electric energy theft and cybercrime monitoring by using artificial intelligent (AI) as a tool of Support Vector Machines (SVMs). The data was obtained from Interpalse, which is an international social network for cultural exchange and practices. The obtained data was analyzed using LIBSVM.NET, which is a library for implementing the support vector machine (a type of machine learning algorithm) in the .NET framework. The C $ programming algorithm was also deployed. The results show that AI, which is Support Vector Machines (SVM) is an efficient and effective means for dictation and monitoring cyber- crime activities in the cybercafé. Implementation of this project work will ensure drastic reduction and final elimination of energy theft and cybercrime.
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Cybercrime, Monitoring, Support vector machine, Artificial intelligence.