Date of Award
2016
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
Committee Chair
Feng Zhu
Committee Member
Mary Ellen Weisskopf
Committee Member
Harry Delugach
Subject(s)
Computer security., Cyberterrorism., Cyber infrastructure--Security measures.
Abstract
A progressive approach to teach students how to develop and deploy cybersecurity algorithms across a wide range of heterogeneous computing devices is proposed. Data confidentiality and data integrity can be ensured when sensitive information is transferred between various types of devices over insecure communication channels by using cybersecurity algorithms. A step-by-step procedure to teach students cybersecurity algorithms on devices ranging from personal computers to devices deployed in the Internet of Things ecosystem is needed. We develop four learning modules that offer students the opportunity to explore commonly utilized cybersecurity algorithms across several heterogeneous devices. Students are able to utilize our learning modules in hands-on projects to develop their own applications that utilizes cybersecurity algorithms to protect their sensitive information. Improvements to our learning modules is possible with eye tracking technology.
Recommended Citation
Davis, Daniel, "The study of cybersecurity algorithms from traditional computing to the internet of things" (2016). Theses. 171.
https://louis.uah.edu/uah-theses/171