The cyber threat landscape is constantly changing; sophistication and scale of cyber threats continue to increase. Advances in computing technology such as mobile computing, cloud computing, trust infrastructure, big data, internet of things, and social media are contributing to the increase of information security risks. Moreover, Advanced Persistent Threat (APT) is a prevalent threat to national security and economic stability. APT is a multi-stage, multi-vector threat that is very difficult to detect. Traditional security measures do not effectively address the APT threat because it bypasses traditional security measures. Risk-based approach is one of the few strategies that work to defend against APT. Researchers had proposed many quantitative and qualitative risk models and frameworks to prioritize, mitigate, and calculate value of risk. The research problem was that these approaches are complex, cumbersome, static, inadequate, inconsistent, and inconclusive. The purpose of this qualitative study was to better understand the relationship between risk analysis and APT to improve protection, detection, and response to an APT attack. A qualitative, multiple case study was proposed to address the overarching research question, How do information security risk analysts apply risk analysis in addressing protection, detection, and response to an APT attack to private, public, non-profit, government, or international organizations with highly sensitive economic, intellectual properties, or national security information? A target sample of 583 professionals received invitations to participate in this study. Data was collected through interviews with ten participants. Risk analysts used risk-based approach and frameworks to improve prevention, detection, and respond to an APT attack. They included three components of information security: technology, processes, and people in their information security risk program.
|Commitee:||Bakari, Marie, Smiley, Garrett|
|Department:||Business and Technology Management|
|School Location:||United States -- California|
|Source:||DAI-A 79/12(E), Dissertation Abstracts International|
|Subjects:||Business administration, Information Technology|
|Keywords:||Advanced persistent threats, Cyber threats, Information security risk, Risk analysis, Risk assessment, Risk management|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be