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The goal of this feature is to develop an Intrusion Detection System (IDS) Model that leverages Association Rule Mining techniques to identify unusual patterns of network activity. By applying these techniques, we aim to enhance the system's ability to detect potential security threats in real time, enabling quicker responses to incidents and improving overall network security.
Use Case
Real-Time Threat Detection
As a security analyst, I want to monitor network traffic in real time so that I can quickly identify and respond to potential threats based on established patterns.
Historical Data Analysis
As a network administrator, I want to analyze historical network activity to discover long-term trends and patterns that may indicate recurring security issues.
Customizable Alerting
As a security engineer, I want to set customizable thresholds for alerts so that I can adjust the sensitivity of the IDS according to the organization's security policies and risk tolerance.
Visualization of Network Patterns
As a system administrator, I want to visualize detected patterns and anomalies in network traffic over time, allowing me to present insights and findings to stakeholders effectively.
Integration with Existing Security Tools
As a security operations manager, I want the IDS to integrate with our existing security tools and frameworks, enhancing our overall security posture and enabling centralized monitoring.
Benefits
No response
Add ScreenShots
No response
Priority
High
Record
I have read the Contributing Guidelines
I'm a GSSOC'24 contributor
I want to work on this issue
The text was updated successfully, but these errors were encountered:
Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊
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Feature Description
The goal of this feature is to develop an Intrusion Detection System (IDS) Model that leverages Association Rule Mining techniques to identify unusual patterns of network activity. By applying these techniques, we aim to enhance the system's ability to detect potential security threats in real time, enabling quicker responses to incidents and improving overall network security.
Use Case
Real-Time Threat Detection
Historical Data Analysis
Customizable Alerting
Visualization of Network Patterns
Integration with Existing Security Tools
Benefits
No response
Add ScreenShots
No response
Priority
High
Record
The text was updated successfully, but these errors were encountered: