Cyber–attacks have posed real, wide threats for the information society. Detecting cyber–attacks becomes a challenge, not only because of the sophistication of attacks, but also because of the large scale and complexity of today’s dynamic IT infrastructures.<br>When a significant amount of data is collected from the cyber systems operations and monitoring, data science and advanced analytics are needed to correlate, learn and mine, interpret and visualize such data. To mitigate existing cyber threats, it is important that cyber–attack detection and security analysis take advantage of data science and advanced analytics. Big data provides a systemic approach, from capturing of IT operation data, through data processing and event correlation, to attack detection and response decision.<br>This Workshop will focus on the cutting–edge developments from both academia and industry, with a particular emphasis on novel techniques to capture, store and process the big–data from a wide range of sources in monitoring IT infrastructures, and in particular on the methodologies and technologies can be applied to correlate, learn and mine, interpret and visualize the cyber security data.<br>This workshop is timely for researchers, academics and practitioners in big data processing and analytics, cyber intelligence, cyber security, cyber defense, security analytics, data mining and machine learning of security data, security information and event management, cyber–attack detection. The workshop represents the core area of big data applications, especially data mining, machine learning, computational intelligence, etc., and will bring forth a lively forum on the exciting and challenging area at the conference.<br>Research Topics<br>The workshop only considers well–written manuscripts that describe original, unpublished, state–of–the–art research and practical work. To contribute towards the advances of knowledge, the workshop welcomes submission of manuscripts from researchers and practitioners who are actively working in Big Data Analytics for Cyber Intelligence and Defense.<br>Indicative topics for the workshop are as follows.<br>– Big data analytics for cyber intelligence and attack detection<br>– Big data intelligence for combating advanced persistent threats (APT)<br>– Big data for cyber intelligence and cyber situational awareness<br>– Big data processing platforms for cyber security and defense<br>– Cyber security analytics for cloud computing<br>– Cyber threats in social networks<br>– Cyber threat intelligence and modeling<br>– Cyber defense/security operations centers<br>– Data acquisition for cyber security and defense<br>– Data acquisition for web mining / opinion mining / sentiment analysis<br>– Data mining and machine learning for cyber threat and security<br>– Log management for cyber security analytics<br>– New–generation intrusion detection/prevention systems (IDS/IPS)<br>– Real–time event correlation for cyber security analytics<br>– Real–time monitoring of computer and network systems<br>– Security incident management for cyber security analytics<br>– Security Information and Event Management (SIEM)<br>– Stream mining for cyber intelligence and attack detection<br>– Systems continuous monitoring<br>– Visualization for cyber intelligence and security/defense<br>– Visualization for web mining / opinion mining / sentiment analysis<br>– Vulnerability analysis and modelling<br>– Web mining / opinion mining / sentiment analysis<br>
Abbrevation
BDA4CID
City
Boston
Country
United States
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End Date
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