Machine Learning Approach to Mobile Forensics Framework for Cyber Crime Detection in Nigeria

Authors

  • Ibrahim Goni Department of Computer science, Adamwa state University Mubi, Nigeria
  • Murtala Mohammad Department of Computer science, Adamwa state University Mubi, Nigeria

DOI:

https://doi.org/10.30564/jcsr.v2i4.2147

Abstract

The mobile Cyber Crime detection is challenged by number of mobile devices (internet of things), large and complex data, the size, the velocity, the nature and the complexity of the data and devices has become so high that data mining techniques are no more efficient since they cannot handle Big Data and internet of things. The aim of this research work was to develop a mobile forensics framework for cybercrime detection using machine learning approach. It started when call was detected and this detection is made by machine learning algorithm furthermore intelligent mass media towers and satellite that was proposed in this work has the ability to classified calls whether is a threat or not and send signal directly to Nigerian communication commission (NCC) forensic lab for necessary action.

Keywords:

Cyber crime, Machine learning, NCC Mobile forensics

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How to Cite

Goni, I., & Mohammad, M. (2020). Machine Learning Approach to Mobile Forensics Framework for Cyber Crime Detection in Nigeria. Journal of Computer Science Research, 2(4), 1–6. https://doi.org/10.30564/jcsr.v2i4.2147

Issue

Vol. 2 , Iss. 4 (October 2020)

Article Type

Article

License

Copyright © 2020 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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