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Massachusetts Institute of Technology

Achieving Secure and Performant Databases with Minimal Resource Overhead

Abstract

dc:description.abstract

Modern cloud databases run in virtualized environments, which are typically implemented with Linux virtual machines (VMs). However, this poses two main risks. Typically, trusted database code is run alongside stored procedure code, which means that user-inputted stored procedure code can pose a security risk to the database and data itself, if the code contains vulnerabilities. Additionally, since Linux has such a large codebase, Linux-based VMs are subject to complex latency concerns and also a large attack surface. Using a low-level shared memory protocol, it is possible to create a secure and performant communication channel between a database VM and the VMs of its stored procedures. This protects the database from vulnerabilities in the stored procedure code. Furthermore, by using unikernels instead of Linux VMs, the machines running the VMs can minimize the CPU/memory overhead per VM while also improving security for the DMBS. Overall, these changes allow cloud-hosted machines to more efficiently utilize resources.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lim, Darren
Advisor dc:contributor.advisor
  • Stonebraker, Mike

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/156970
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/156970

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Lim, Darren. Achieving Secure and Performant Databases with Minimal Resource Overhead. Massachusetts Institute of Technology, 2024. https://hdl.handle.net/1721.1/156970