BDA4CS 2016 - International Workshop on Big Data Analytics for Cyber Security (BDA4CS 2016)

Cyber-attacks are the dark side of the information society and have posed malicious threats to the 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 often virtualised IT infrastructures.
When a significant amount of data is collected from the computer systems operations and monitoring, intelligent big-data analytical techniques are necessary to mine, interpret and visualise such data. To mitigate existing cyber security threats, it is important that cyber-attack detection and security analysis take advantage of big-data analytical techniques. Big data provides a systemic approach, from capturing of IT operation data, through data processing and event correlation, to anomaly detection and response decision.
This Workshop will focus on cutting-edge methods, techniques and systems from both academia and industry, with a particular emphasis on novel techniques to mine, interpret and visualise big-data from a wide range of systems monitoring sources that can be applied in threat intelligence, and cyber-attack detection, cyber security.
Call for Papers
This workshop is timely and interesting for researchers, academics and practitioners active in cyber security, cyber defence, security analytics, security information and event management, computer and network security.
Indicative topics for the workshop include:
- Anomaly detection based on for big data analytics
- Big data analytic techniques for cyber defence and cyber intelligence
- Big data based techniques for combating advanced cyber threats
- Big data processing platforms (e.g., Hadoop) and services for cyber security, cyber defence, computer and network security
- Big data sharing, visualization and/or exploration (e.g. contextualizing security incidents)
- Data mining methods for detection of cyber attacks
- High-speed querying of big data for cyber intelligence
- Incident management and cyber security visualisation in complex computer and network systems
- intelligence techniques for advanced persistent threats detection
- Machine leaning methods for detection of cyber attacks
- Real-time correlation and analysis of big data for cyber intelligence
- Real-time sniffing and monitoring of complex computer and network systems
- Security analytics for cloud computing
- Security analytics for computer systems and networks
- Security information and event management (SIEM)
- Security intelligence and cyber defence operations centres for large enterprises and national public services
- Vulnerability analysis and modelling of complex computer and network systems