College
College of Engineering and Polymer Science
Date of Last Revision
2026-05-06 06:30:05
Major
Computer Information Systems
Honors Course
CISS 491-001
Number of Credits
3
Degree Name
<-- Please Select One -->
Date of Expected Graduation
Spring 2026
Abstract
Alert fatigue occurs during long hour shifts and high stress situations. Constant notifications and on-call shifts can create overstimulation and desensitization, which leads to delay responses and increased vulnerability. Malicious actors have weaponized alert fatigue by storming a network with a vast number of low-priority events to mask their malicious activity, also known as alert storming. This project focuses on the reduction of alert fatigue by automating log analysis with Large Language Models. The project uses Amazon Web Service and its many features, such as Amazon GuardDuty, Lambda, and Bedrock. Amazon GuardDuty detects anomalies, then lambda sends those anomalies to Amazon Bedrock for further analysis. Amazon Bedrock will provide a summary of the problem and how to remediate the problem. The project will be deployable for smaller security teams and alert them of an anomaly in seconds while not requiring any hardware.
Research Sponsor
Nadhem Ebrahim
First Reader
Stanley Smith
Second Reader
Tiffany McClaskey
Honors Faculty Advisor
Janet Kropff
Proprietary and/or Confidential Information
No
Community Engaged Scholarship
No
Recommended Citation
Spatafore, Michael K., "Analyzing Network Traffic Utilizing AWS Developer Tools and Artificial Intelligence" (2026). Williams Honors College, Honors Research Projects. 2166.
https://ideaexchange.uakron.edu/honors_research_projects/2166