Big Data Mining and Analytics for National Security

Big Data Mining and Analytics for National Security in Nigeria UJAH BRIDGET CHINALU Abuja, Nigeria National Defence College ADEJORO CORNELIUS ONIMISI University of Nigeria, Nsukka, Nigeria

BIG DATA • Big Data analysis is a suitable approach to network security, to protect the network against advanced persistent threat (APT). Girau and Wang (2012). • Big Data makes use of data mining technology to make intelligent decision. Rajkumar (2016).

RESEARCH QUESTIONS • Sense and response approach to security threats. • Lack of a robust intelligence framework for efficient intelligence gathering, analysis and sharing of information. • Poor Collaboration between the security agencies. • Absence of actionable and real time intelligence.

RESEARCH National Security. Big Data in Public Safety and Crowd Control. Big Data Analytics for Organizational Security. Big Data and Deep Learning. Big Data Real Time Analytics for Counter Terrorism. • Big Data Analytics for Network Security • • •

PROPOSED SYSTEM • We propose a Big Data Active Security Collaborative Framework as described in this manner…

RECOMMENDATION • The study recommends Big Data collaborative frame work for proper intelligence gathering, data analysis and information sharing amongst the security operatives

CLOSURE • The goal of applying Big Data analytics for national security in Nigeria is to obtain actionable intelligence in real time through an active collaboration.

CONCLUSSION • The Security Agencies in Nigeria are playing a significant role in fighting terrorism and its likes, and to secure the life and property of the citizenry. Big Data mining and analytics technology will greatly enhance this effort if well leveraged upon.

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