Optimal Cyber Threat Intelligent System for Nepal
Swarup Dhungana, Pranita Upadhyaya · 2019
In today's world cyber threat intelligence has been one of the major prerequisites for overall development of the country, especially for developing nations like Nepal. The main aim of the research is to identify an optimal cyber threat intelligence system framework which addresses the current issues of cyber security and ideally fits in the current context of Nepal. Using the Coburg Intrusion Detection Data Set, two machine learning models; Deep Learning and Random Forest are trained and evaluated, to choose the ideal one for the framework along with ontology mapping to introduce adaptive learning feature in the system. The proposed framework minimizes the current gap in cyber security for Nepal. Furthermore, the study can be extended to add different features such as; creating a proper user interface and implementing the alert feature for the system which can be vital for establishing Nepal Cyber Security Center.