Intrusion Detection and Anomaly Identification in Internet of Things Networks

In an ever-changing world, technology has developed rapidly in the form of innovation and integration. The Internet of Things (IoT) is one of the most significant technological developments in recent years, enabling thousands of new devices to connect to and utilize the Internet. As IoT has been rapidly accelerated and intertwined into societal functions, the security of these devices was placed on the back burner of developer’s minds. The differences between IoT network infrastructure and traditional IT network infrastructure cause modern security methods to be ineffective in IoT networks. Methods including anomaly detection, Digital Forensics/Incident Response, and intrusion detection, must adapt to the complexity of IoT before they can be utilized effectively. As IoT continues to grow, security measures will be updated and specialized to thrive in IoT networks.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Information Systems Security

Grantor

University of Houston

Year dc:date.issued

2024

Author dc:creator

• Stockton, William M

Advisor dc:contributor.advisor

• Zhang, Yunpeng

Committee members dc:contributor.committeemember

• Lent, Ricardo
• Lee, Kyu In

• IoT
• anomaly

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10657/17786

OAI identifier oai:identifier

oai:uh-ir.tdl.org:10657/17786