The Seattle report on database research

Communications of the ACM · 2022 · 43 citations

• Computer Science
• Computer Science
• Database

Every five years, a group of the leading database researchers meet to reflect on their community's impact on the computing industry as well as examine current research challenges.

TRACE: Enterprise-Wide Provenance Tracking for Real-Time APT Detection

IEEE Transactions on Information Forensics and Security · 2021 · 61 citations

• Computer Science
• Computer Science
• Data Mining

We present TRACE, a comprehensive provenance tracking system for scalable, real-time, enterprise-wide APT detection. TRACE uses static analysis to identify program unit structures and inter-unit dependences, such that the provenance of an output event includes the input events within the same unit. Provenance collected from individual hosts are integrated to facilitate construction of a distributed enterprise-wide causal graph. We describe the evolution of TRACE over a four-year period, during which our improvements to the system focused on performance, scalability, and fidelity. In this time span, the system call coverage increased (from 47 to 66) while the time and space overhead reduced by over one and two orders of magnitude, respectively. We also provide results from five adversarial engagements where an independent team of system evaluators conducted APT attacks and assessed system performance. The input from our system was used by three other teams to implement real-time APT detection logic. Retrospective analysis revealed that TRACE provided sufficient evidence to detect over 80% of the attack stages across all evaluations. By the last engagement, temporal and spatial overhead had been reduced significantly to 18% and 10%, respectively.

The Seattle Report on Database Research

ACM SIGMOD Record · 2020 · 68 citations

• Computer Science
• Computer Science
• Database

Approximately every five years, a group of database researchers meet to do a self-assessment of our community, including reflections on our impact on the industry as well as challenges facing our research community. This report summarizes the discussion and conclusions of the 9th such meeting, held during October 9-10, 2018 in Seattle.

Fibrillar Collagen Quantification With Curvelet Transform Based Computational Methods

Frontiers in Bioengineering and Biotechnology · 2020 · 70 citations

• Computer Science
• Artificial Intelligence
• Computer Science

mouse xenograft breast cancer images.