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Massachusetts Institute of Technology

The MIT-IBM CloudSec 16: A Cloud Cybersecurity Benchmarking Framework

Abstract

dc:description.abstract

This paper proposes a novel cloud security benchmarking framework and scoring system to improve cyber risk management. Cyber risk management is challenging and has become even more difficult as organizations digitally transform their business and IT from on-premises environments to cloud infrastructure. Threats proliferate as organizations’ attack surfaces expand due to shadow IT, software supply chain security, outsourced networking, and virtualization. Existing cyber risk management frameworks and controls are too exhaustive or generic and provide no means for organizations to assess their cyber risk against their peers. The MIT-IBM CloudSec 16 developed in this paper is a new security benchmarking framework and scoring system built specifically for cloud deployments in the financial service sector. When paired with MIT’s SCRAM secure computation platform, the MIT-IBM CloudSec 16 can provide an overview of cloud security in the financial service sector and enable organizations to and remediate areas of relative weakness.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
System Design and Management Program.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lewke, Damien
Advisors dc:contributor.advisor
  • Weitzner, Daniel
  • Reynolds, Taylor

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/1721.1/151640
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/151640

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

Lewke, Damien. The MIT-IBM CloudSec 16: A Cloud Cybersecurity Benchmarking Framework. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/151640