Abstract

The papers in this special section examine Big Data applications in cyber security and threat intelligence. This last decade has witnessed a tremendous rapid increase in volume, veracity, velocity and variety of data generated by different cyber security solutions and as part of cyber investigation cases. When a significant amount of data is collected from or generated by different devices and sources, intelligent big-data analytical techniques are necessary to mine, interpret and visualize such data. To mitigate existing cyber security threats, it is important for big-data analytical techniques to keep pace. Therefore, in special issue we focus on cutting-edge from both academia and industry, with a particular emphasis on novel techniques to mine, interpret and visualize big-data from a wide range of sources and can be applied in cyber security, cyber forensics and threat intelligence context.

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