Location
https://www.kennesaw.edu/ccse/events/computing-showcase/sp25-cday-program.php
Document Type
Event
Start Date
15-4-2025 4:00 PM
Description
The "Security Lookup Interface" capstone project aims to create a streamlined tool for COX's cybersecurity team, enabling analysts to efficiently perform IP address and hostname lookups while providing actionable, data-driven insights to enhance security investigations. The project will develop a user-friendly interface that simplifies the lookup process, allowing cybersecurity analysts to quickly retrieve relevant data and make informed decisions during security investigations. One of the key features of the tool is its seamless integration with both internal APIs and external resources. This integration will ensure that analysts have quick and easy access to valuable information, minimizing manual effort and enabling faster response times. By consolidating data from various sources, the interface will empower security analysts to conduct thorough investigations with minimal friction. A core aspect of the project is its focus on data-driven insights. The system will aggregate data from multiple internal and external sources, presenting actionable conclusions to assist cybersecurity analysts. These insights will help analysts identify malicious patterns, such as frequent appearances of certain IP addresses in known malicious activities, and detect anomalous behaviors, like repeated access attempts or unusual traffic patterns. This aggregated data will streamline the threat investigation process, making it easier for analysts to prioritize threats and take immediate action.
UC-040 Security Lookup Interface Project
https://www.kennesaw.edu/ccse/events/computing-showcase/sp25-cday-program.php
The "Security Lookup Interface" capstone project aims to create a streamlined tool for COX's cybersecurity team, enabling analysts to efficiently perform IP address and hostname lookups while providing actionable, data-driven insights to enhance security investigations. The project will develop a user-friendly interface that simplifies the lookup process, allowing cybersecurity analysts to quickly retrieve relevant data and make informed decisions during security investigations. One of the key features of the tool is its seamless integration with both internal APIs and external resources. This integration will ensure that analysts have quick and easy access to valuable information, minimizing manual effort and enabling faster response times. By consolidating data from various sources, the interface will empower security analysts to conduct thorough investigations with minimal friction. A core aspect of the project is its focus on data-driven insights. The system will aggregate data from multiple internal and external sources, presenting actionable conclusions to assist cybersecurity analysts. These insights will help analysts identify malicious patterns, such as frequent appearances of certain IP addresses in known malicious activities, and detect anomalous behaviors, like repeated access attempts or unusual traffic patterns. This aggregated data will streamline the threat investigation process, making it easier for analysts to prioritize threats and take immediate action.
