Data Science & System Security

With ubiquitous sensing and networking capability, traditional complex physical systems have been undergoing revolutionary changes in their ICT capabilities. They are now equipped with a large number of sensors distributed across different parts of the system, which collect a tremendous amount of data from system operation.

Computer systems generate a huge number of heterogeneous logs which provide rich contextual information about system status and are critical sources for system monitoring and diagnosis. Manually interpreting those logs is not effective, however, due to their large volume and complicated domain-specific syntax and semantic knowledge.

With fast-growing volumes of data in our world, the use of big data will become key to accelerate productivity growth. Our Big Data vision is to build an ecosystem that can handle a large volume and variety of data and extract knowledge from it pertaining to business intelligence, infrastructure management, public safety, health care, fraud detection, etc.Invariant Analyzer

Every day it becomes harder to guarantee enterprise security. Sophisticated attacks are launched from economically-driven, well-organized attackers. Systems are complex and evolving, and it is difficult, if not impossible, to keep track of security vulnerabilities and prepare every employee with enough knowledge and skills. To address these challenges, we propose the automated security intelligence project, inspired by the words of Sun Tzu: "If you know your enemies and yourself, you can win a hundred battles without a single loss."