Flexible Tagged Architecture for Trustworthy Multi-core Platforms
Abstract
This project aimed to realize the full potential of fine - grained tagging scheme for monitoring and detecting errors and attacks on software programs. In this context, the project developed flexible hardware tagged architecture designs that can perform a wide range of tagging techniques with low overhead. In order to enable the fine - grained tagging techniques for real-time systems, the project also developed both static analysis and dynamic enforcement techniques to provide a strong guarantee for the worst-case program execution time with tagging. The evaluation studies through simulations and FPGA prototypes suggest that the proposed tagged architecture can provide both flexibility and efficiency, and also be safely applied to hard real time systems with strict deadlines.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2015
- Accession Number
- ADA619845
Entities
People
- Gookwon Suh
Organizations
- Cornell University