Cyber Threat Intel

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The digital age also has had implications on the protection of physical assets, such as property, buildings and individuals.
Law enforcement agencies must be able to respond to threats by leveraging timely information for a set of predefined behaviors, such as people, vehicles or
objects crossing tripwire or entering a secured area. They must be able to identify and correlate incidents, social media analytics,
video surveillance, geospatial records, sensor data or any other source of data in motion to proactively identify and monitor potential incidents and
create a safer Nigeria society.Design and implementation of Visualization Tool for Terrorist & Cyber Threat Detection and prevention in Nigeria.

Threat intelligence is the provision of evidence-based knowledge about existing or potential threats. Benefits of threat
intelligence include improved efficiency and effectiveness in secu-rity operations in terms of detective and preventive capabilities.
Successful threat intelligence within the cyber domain demands a knowledge base of threat information and an expressive way
to represent this knowledge. This purpose is served by the use of taxonomies, sharing standards, and ontologies.
This paper introduces the Cyber Threat Intelligence (CTI) model, which enables cyber defenders to explore their threat
intelligence capabilities and understand their position against the ever-changing cyber threat landscape. In addition, we use
our model to analyze and evaluate several existing taxonomies, sharing standards, and ontologies relevant to cyber threat
intelligence. Our results show that the cyber security community lacks an ontology covering the complete spectrum of threat
intelligence. To conclude, we argue the importance of developing a multi-layered cyber threat intelligence ontology based on the
CTI model and the steps should be taken under consideration, which are the foundation of our future work.