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Open source intelligence for cyber situational awareness related to concepts, models and methods for cyber threat intelligence in tactical, operational and strategic levels are central to the scope of this event. Cyberattacks are becoming increasingly complex and routine threats emerging from an evolving threat landscape. Security breaches frequently compromise sensitive information, exposing personal identities, intellectual property or financial assets. Things will get a lot worse when advanced attacks target public infrastructure on which we all depend. Besides temporal disruption of critical services, sophisticated attacks can cause physical damage to vital systems like the electric grid or intelligent transportation systems.
Criminal networks and terrorist groups often operate globally, hiding their illicit activities by taking advantage of information and communications technology. Digital communication enables global communities that are hard to track. Open source intelligence can be a powerful tool for combating crime by linking global and local crime patterns to help understand how criminal activities are connected across crime spaces and emerging trends such as the inevitable shift of conventional organized crime to the cyber arena.
Cyber threat information can be drawn from countless sources from the dark and surface web such as hacker forums, darknet markets, internet relay chats, and social media. This situation calls for radical advances in using cutting-edge data mining, machine learning and predictive analytics combined with social network analysis and natural language processing to detect, disrupt and neutralize cyber and physical threats. We invite submissions of original research papers describing solutions and systems for all aspects of open source intelligence and security informatics. Topics of interest include but are not limited to cyber threat intelligence, cybercrime analysis, web intelligence and security, big crime data mining algorithms and open source situational awareness.
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