PIPages
Labs

Erez Zadok

Stony Brook University, NY·Computer Science

The world produces more digital data every year, and much of it must be kept for decades, longer than a human lifetime. Storing data that long is hard.

Fields

Computer Science

Engineering

Topics

archival storage

long-term storage

storage systems

Grants
1 known grant, through Sep 2027

What they work on

  1. Develop long-term archival storage techniques based on information-theoretic and combinatorial security that stay safe against much faster computers, quantum computers, and insiders who steal data slowly over years.
  2. Design ways for archived data to survive errors ranging from a few corrupted bytes to large-scale cloud failures or storage providers going out of business, and measure the trade-offs among storage overhead, security, reliability and performance.
  3. Build and evaluate a prototype secure archive and a simulator, released publicly as SecArch, to study real-world implementation issues and project how the techniques will hold up over very long time frames.

More about the research

Keeping it secure that long is harder still, because the computers available to attackers keep getting faster and may eventually include quantum computers. Storage companies can also go out of business, and insiders can misuse their access to leak data slowly over years.

Why it matters

A society that runs on digital records needs those records to stay both private and unchanged for decades. This work could give archives, institutions and cloud users storage designs that resist future attackers, including quantum computers, and slow-leaking insiders. The designs are also meant to keep data intact even if a storage provider fails or disappears. The open-source prototype and simulator could help others evaluate long-term storage choices.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Collaborative Research: CNS Core: Medium: Secure, Reliable, and Efficient Long-Term Storage

NSF · Nov 2024 – Sep 2027

Closest labs

Zhiying Wang

University of California-Irvine, CA·Engineering·Early-career

Establish the fundamental limit on information density for composite DNA storage, where each position is a set mixture of A, C, G and T, and design coding schemes that reach it given symbol choice and storage-channel errors.

Omkant Pandey

Stony Brook University, NY·Computer Science·Early-career

Construct secure multi-party computation protocols that remain secure when many sessions run concurrently and the adversary is a quantum computer, closing open questions in post-quantum secure computation.

Remzi Arpaci-Dusseau

University of Wisconsin-Madison, WI·Computer Science

Characterize dependencies across blockchain computing, storage and network resources to build a foundation for classifying faults that cause transaction data loss.

The school

Stony Brook University: 32 labs on PI Pages, $319M a year on research, 289 research doctorates a year.

More about Stony Brook University

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