Towards Secure Data Management using Multi-Cryptographic Solutions (Invited)

  • Shufan Zhang
  • , Xi He
  • , Ashish Kundu
  • , Sujaya Maiyya
  • , Sharad Mehrotra
  • , Shantanu Sharma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Several secure data outsourcing systems incorporate various cryptographic techniques to balance security, functionalities, and efficiency. However, their security properties can be ad hoc and sometimes obscure. Our recent work, Secure Normal Form (SNF) [ICDE'24], presents a principled approach that allows data owners to define acceptable leakages of nonsensitive aspects of their data. This approach enables efficient processing of queries while ensuring no unintended leakage of sensitive information. In this paper, we discuss the benefits and challenges of implementing SNF within advanced computational environments and modern data management architectures. We argue that its applicability may extend beyond merely offloading secure query execution to the cloud.

Original languageEnglish (US)
Title of host publication2025 62nd ACM/IEEE Design Automation Conference, DAC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331503048
DOIs
StatePublished - 2025
Event62nd ACM/IEEE Design Automation Conference, DAC 2025 - San Francisco, United States
Duration: Jun 22 2025Jun 25 2025

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X

Conference

Conference62nd ACM/IEEE Design Automation Conference, DAC 2025
Country/TerritoryUnited States
CitySan Francisco
Period6/22/256/25/25

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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