CRSep 28, 2017

Maat: A Platform Service for Measurement and Attestation

arXiv:1709.10147v17 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of ensuring software trustworthiness for system administrators and security professionals, but it is incremental as it builds on existing M&A technologies.

The paper tackles the challenge of software integrity measurement and attestation by proposing Maat, a centralized platform service that simplifies integration into trust decisions like authentication and network access control.

Software integrity measurement and attestation (M&A) are critical technologies for evaluating the trustworthiness of software platforms. To best support these technologies, next generation systems must provide a centralized service for securely selecting, collecting, and evaluating integrity measurements. Centralization of M&A avoids duplication, minimizes security risks to the system, and ensures correct ad- ministration of integrity policies and systems. This paper details the desirable features and properties of such a system, and introduces Maat, a prototype implementation of an M&A service that meets these properties. Maat is a platform service that provides a centralized policy-driven framework for determining which measurement tools and protocols to use to meet the needs of a given integrity evaluation. Maat simplifies the task of integrating integrity measurements into a range of larger trust decisions such as authentication, network access control, or delegated computations.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes