Cybersecurity and Cyber Forensics: Machine Learning Approach Systematic Review

The proliferation of cloud computing and internet of things has led to the connectivity of states and nations (developed and developing countries) worldwide in which global network provide platform for the connection.Digital forensics is a field of computer security that uses software applications and standard guidelines which support the extraction of evidences from any computer appliances which is perfectly enough for the court of law to use and make a judgment based on the comprehensiveness, authenticity and objectivity of the information obtained. Cybersecurity is of major concerned to the internet users worldwide due to the recent form of attacks,threat, viruses, intrusion among others going on every day among internet of things. However, it is noted that cybersecurity is based on confidentiality,integrity and validity of data. The aim of this work is make a systematic review on the application of machine learning algorithms to cybersecurity and cyber forensics and pave away for further research directions on the application of deep learning, computational intelligence, soft computing to cybersecurity and cyber forensics

Fuzzy Rule-based System for Corruption Control in Nigerian Police Force

This paper has attempted to develop an artificial intelligence model based on fuzzy logic for the control of corruption in Nigerian Police Force. The researcher employed fuzzy rule-base inference system methodology using four inputs variables; funding, logistics and operational equipment (FLOE) condition of service, remuneration and motivation (CSRM), recruitment, training and promotion (RTP), confidence and support by the community (CSC) were used to determine the corruption severity level. An output variable; corruption severity level (CSL) was adopted for the model development.  The simulation was carried out using MATLAB 2015 for Windows. The results revealed that it is very obvious for Nigeria as a country to have a Police Force whose corruption severity level is low. Thus (i) Condition of service, remunerations and motivation has to be excellent; (ii) Funding, logistics and operational equipment has to be adequate; (iii) Recruitment, training and promotion has to be excellent, and finally (iv) Confidence and support by the community has to be very high