| Popis: |
Ineffective legacy practices have failed to counter contemporary information security and privacy threats. Modern IT operates on large, heterogeneous, distributed sets of computing resources, from small mobile devices to large cloud environments that manage millions of connections and petabytes of data. Protection must often span organizations with varying reliability, trust, policies, and legal restrictions. Centrally managed, host-oriented trust systems are not flexible enough to meet the challenge. New research in distributed and adaptive trust frameworks shows promise to better meet modern needs, but lab constraints make realistic implementations impractical. This paper describes our experience transitioning technology from the research lab to an operational environment. As our case study, we introduce Safety on Untrusted Network Devices (SOUND), a new platform built from the ground up to protect mobile and cloud network communications against persistent adversaries. Initially based on three founding technologies— Accountable Virtual Machines (AVM), Quantitative Trust Management (QTM), and Introduction-Based Routing (IBR)— our research efforts extended those technologies to develop a more powerful and practical SOUND implementation. |
