Abstract

The papers in this special section focus on Big Data applications in cybersecurity and threat intelligence. The last decade has witnessed a tremendous rapid increase in volume, veracity, velocity and variety of data (also commonly referred to as the four V’s of big data in the literature1) 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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