Threat intelligence is the provision of evidence-based knowledge about existing or potential threats. Beneﬁts of threatintelligence 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 wayto 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 threatintelligence capabilities and understand their position against the ever-changing cyber threat landscape. In addition, we useour model to analyze and evaluate several existing taxonomies, sharing standards, and ontologies relevant to cyber threatintelligence. Our results show that the cyber security community lacks an ontology covering the complete spectrum of threatintelligence. To conclude, we argue the importance of developing a multi-layered cyber threat intelligence ontology based on theCTI model and the steps should be taken under consideration, which are the foundation of our future work.
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.
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