Multi-model run-time security analysis - October 2014

Public Audience
Purpose: To highlight progress. Information is generally at a higher level which is accessible to the interested public.

PI(s): Jurgen Pfeffer
Co-PI(s): David Garlan, Bradley Schmerl
Researchers:

HARD PROBLEM(S) ADDRESSED

• Composability through multiple semantic models (here, architectural, organizational, and behavioral), which provide separation of concerns, while supporting synergistic benefits through integrated analyses.
• Scalability to large complex distributed systems using architectural models.
• Resilient architectures through the use of adaptive models that can be used at run-time to predict, detect and repair security attacks.
• Predictive security metrics by adapting social network-based metrics to the problem of architecture-level anomaly detection.

PUBLICATIONS

ACCOMPLISHMENT HIGHLIGHTS

• Participated in poster session of the quarterly Lablet meeting July 1st, 2014