Using Publicly Available Information to Predict Cyber Failures

Public Deposited
Resource Type
Creator
Abstract
  • This research examines the use of an anticipatory method and publicly available newsworthy information on ten past cyber failures of critical infrastructures in the United States to predict cyber failures of networks and systems of technology startups. The Anticipatory Failure Determination (AFD) method was modified to enable the use of publicly available information. A list of the resources that were used to cause the ten cyber failures in critical infrastructures was produced and used to make predictions of failure scenarios of a stack of open source software. Finally, the factors that enable and constrain the use of the AFD method to predict cyber failures in technology startups were specified. Junior engineers, designers, contractors and other stakeholders of cyber systems as well as government policy makers will be interested in outcome of this research to predict potential cyber failures for proactive mitigation.

Subject
Language
Publisher
Thesis Degree Level
Thesis Degree Name
Thesis Degree Discipline
Identifier
Rights Notes
  • Copyright © 2017 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

Date Created
  • 2017

Relations

In Collection:

Items