Crowdsourcing

Development of a Cyber-Threat Intelligence-Sharing Model from Big Data Sources

Abstract:

As data in cyberspace continues to grow because of the ubiquity of Information Communication Technologies (ICT), it is becoming challenging to obtain context-aware, actionable information from Big Data to timely detect and respond to cyberattacks that are increasing in severity, complexity, and frequency. In fact, cybercriminals are developing and sharing advanced techniques for their cyber espionage, reconnaissance missions, and ultimately devastating attacks. In order to reduce cybersecurity risks and strengthen cyber resilience, strategic cybersecurity information-sharing is a necessity. This article discusses one way of handling large volumes of unstructured data that have been generated by multiple sources across different sectors into a cyber-threat intelligence-sharing model.

Published In

Volume 15, Issue 3

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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