Verifiable Sustainability in Data Centers
Syed Rafiul Hussain, Patrick McDaniel, Anshul Gandhi, Kanad Ghose, Kartik Gopalan, Dongyoon Lee, Yu David Liu, Zhenhua Liu, Shuai Mu, Erez Zadok
TL;DR
This work analyzes the security and privacy challenges of measuring and reporting data-center sustainability, arguing that verifiable, auditable footprint data is essential to counter greenwashing and enable trustworthy regulation. It introduces a security-oriented architecture for verifiable footprint collection, privacy-preserving collection and aggregation, and public ledgers, anchored by trusted hardware, TEEs, and cryptographic techniques. The paper identifies a comprehensive threat model (involving operators, tenants, users, and observers) and enumerates seven core security challenges, offering research directions such as MPC, differential privacy, homomorphic encryption, zero-knowledge proofs, and blockchain-based ledgers. By combining technical primitives with standardization and policy incentives, the authors aim to enable transparent, accurate carbon accounting that scales across data-center types and supports broader sustainable-system goals.
Abstract
Data centers have significant energy needs, both embodied and operational, affecting sustainability adversely. The current techniques and tools for collecting, aggregating, and reporting verifiable sustainability data are vulnerable to cyberattacks and misuse, requiring new security and privacy-preserving solutions. This paper outlines security challenges and research directions for addressing these pressing requirements.
