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Open Access Knowledge and Scholarship

Date of Award

5-2022

Culminating Project Type

Thesis

Styleguide

ieee

Degree Name

Information Assurance: M.S.

Department

Information Assurance and Information Systems

College

Herberger School of Business

First Advisor

Abu Hussein Abdulla

Second Advisor

Eric Rice

Third Advisor

Akalanka Bandara Mailewa

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

Abstract

Many computing assets are prone to Visual Hacking. An attacker can steal sensitive data by peeking over the shoulders when a user is using a computer or when the computer is unlocked and unattended. Visual hacking is one of the simple activities done without necessarily having complex tools. It takes less than 15min to capture sensitive information, of which 90% of the Visual hacking attempts are successful. Visual hacking causes loss of confidentiality when data like Authentication credentials are compromised or sensitive private data are stolen through visual hacking; this leads to loss of integrity and potentially loss of availability depending on the malicious behavior of the attacker. Therefore, the main contribution of this paper is a tool to protect computing assets against visual hacking using the artificial intelligence approach for Object Recognition.

Comments/Acknowledgements

Acknowledgments

My family for the support during my school days. Thank you to my academic advisor, Prof. Abu Hussien, for the support and encouragement. May your good works follow you all the days of your life.

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