# Revisiting Computational Storage for Data Integrity and Security

arXiv: https://arxiv.org/abs/2504.15293 · HTML: https://mlsanity.com/paper/2504.15293/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Apr 2025.

## Built on by (most cited first, 1 of 1)

- [InfraBench: Evaluating Infrastructure Agents Across Layers, Lifecycle, and Risk](https://mlsanity.com/paper/2608.11234/) (2026)

## Abstract (arXiv)

The idea of computational storage device (CSD) has come a long way since at least 1990s [1], [2]. By embedding computing resources within storage devices, CSDs could potentially offload computational tasks from CPUs and enable near-data processing (NDP), reducing data movements and/or energy consumption significantly. While the initial hard-disk-based CSDs suffer from severe limitations in terms of on-drive resources, programmability, etc., the storage market has witnessed the commercialization of solid-state-drive (SSD) based CSDs (e.g., Samsung SmartSSD [3], ScaleFlux CSDs [4]) recently, which has enabled CSD-based optimizations for avariety of application scenarios (e.g., [5], [6], [7]).