Link to: Data Science & System Security
DATA SCIENCE & SYSTEM SECURITY
Link to: DS Projects
PROJECTS
Link to: DS People
PEOPLE
Link to: DS Publications
PUBLICATIONS
Link to: DS Patents
PATENTS
Link to: Automated Security Intelligence
Automated Security Intelligence
Every day, it becomes harder to guarantee enterprise security. Sophisticated attacks are launched by 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.”
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Link to: Big Data Analytics
Big Data Analytics
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.
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Link to: Complex System Simulation and Modeling
Complex System Simulation and Modeling
As the real-world systems are getting more complex and often beyond the comprehension of humans, the understanding and management of complex systems have emerged as one of the biggest challenges for research, policy and industry. Customers require effective methods and tools to assist them in various tasks, such as accurately predicting the impact of infrastructure investments on supply chain optimization and comprehending the behavior of expansive Internet-based systems in diverse scenarios.
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Link to: NGLA: Next Generation Log Analytics
NGLA: Next Generation Log Analytics
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.
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