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This research proposes a proactive and verifiable method for secure cloud data deletion. Using secret-sharing, it disperses data fragments among servers and employs time-based keys to guarantee irrecoverable deletion after expiration.
"In this episode, Anna Rose and Nico Mohnblatt catch up with Ian Miers from the University of Maryland, starting with his work on seminal ZK blockchain research, Zerocoin and Zerocash and the creation of the first zk-focused blockchain project Zcash. They then explore the history of trusted setups, including the trusted setup bug discovery in Zcash, and subsequent improvements like Powers of Tau. Ian also discussed his work on ZEXE, a system that has inspired the formation of Aleo, and his more recent works: zk-creds for building flexible anonymous credentials from existing identity signals like passports, and zk-promises for supporting anonymous reputation, moderation, and callbacks in decentralized systems. They also touch on broader topics like post-quantum security considerations, sybil resistance, and the need for programmable privacy tools."
The article explains how optimizing the Sumcheck protocol with "factoring equality polynomials" reduces prover workload. It transforms the verification of multivariate polynomial evaluations into checking a simpler linear combination, minimizing repetitive computations through precomputation.
The article explains lattice basis reduction as an algorithm to find shorter, more orthogonal basis vectors in a lattice. Its core, the LLL algorithm, runs in polynomial time and is key to breaking cryptosystems like RSA, paving the way for lattice-based cryptography.
This sharing was made during the Shanhaiwu Singapore event. It starts with what is zero-knowledge proof and goes into depth about zkSNARK and Sumcheck.
If you're interested in our ZK Insights or have ideas for similar content to share, we highly encourage everyone to head over to our Github repo and submit a Pull Request. Join forces with like-minded ZKPunks to co-create!
✨ Github repo link: https://github.com/ZKPunk-Org/zk-insights
✨ Web collection version: https://insights.zkpunk.pro/
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