Autonomous Micro-Modular Mobile Data Center Cloud Computing Study for Modeling, Simulation, Information Processing and Cyber-Security Viability

Metadata Updated: March 23, 2019

Cloud computing environments offer opportunities for malicious users to penetrate security layers and damage, destroy or steal data. This ability can be exploited to study and detect how this is done, and build algorithms to better protect cloud computing environments. This project used an autonomous micro-­modular mobile data center as a test-­platform for an "infrastructure-­as-­a-­service" cloud computing solution at the National Center for Critical Information Processing and Storage (NCCIPS). A Relocatable Adaptive Suspension Equipment Rack (R.A.S.E.R DX), on loan from Elliptical Mobile Solutions, was used as a demonstration project to study trends, activities and vulnerabilities in cloud computing environments.Cloud computing security penetration testing and anomaly detection defense studies were conducted to assess the adequacy of cloud computing security.  Since cloud computing involves data distributed over wide areas and multiple devices being shared by unrelated users, the security challenges become increasingly complex.  Additionally, with the advent of cyber warfare as a threat, protecting data from theft or alteration does not in itself neutralize the threat, as the adversary also seeks to disrupt critical infrastructure and services such as penetration into data center server networks, and automated security access control.  It has therefore become increasingly important to complement security capabilities with advances in automated intelligence (AI) to recognize the plans of multiple agent threats (software or human) based on the observation of their activities. Therefore, for this project, an autonomous micro-modular mobile data center was used as a test/demonstration platform to study cloud computing security.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date March 23, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date March 23, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_10595
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190322235447
Harvest Object Id 54cfd3fa-1134-4023-b04f-a5f271ca5a91
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2012-10-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 6d8565c52d4fd2393534492e37add14dc40d957b
Source Schema Version 1.1

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