Results: New accounting sessions


Overview
The NEW ACCOUNTING SESSIONS report in the GATE admin portal provides comprehensive monitoring and anomaly detection for AAA (Authentication, Authorization, and Accounting) server sessions. This page displays time-series data with advanced analytics capabilities, allowing administrators to track session counts, identify anomalies, and analyze patterns over time.
Key Features
Real-time Session Monitoring: Visualizes accounting session data with interactive line graphs showing session counts over timeAnomaly Detection: Automated detection system that identifies unusual session patterns and flags them with distance metricsTime-series Analysis: Displays historical session data with customizable time intervalsMulti-organization Support: Includes sub-organization filtering capabilitiesExport Functionality: Allows data export for external analysis and reportingConfigurable Sensitivity: Adjustable anomaly detection parameters for fine-tuned monitoring
UI Elements
Top Action Bar
Filter Panel (Right Sidebar)
Anomaly Detection Settings
Active: Checkbox to enable/disable anomaly detection (currently checked)Data sample (%): Dropdown set to "10%" - controls the percentage of data used for analysisSensitivity: Dropdown set to "Very high" - adjusts the threshold for anomaly detection
Time Configuration
Interval: Set to "Hours" with "24 hours" selected - defines the time window for data aggregationComplete intervals: Checkbox option for interval boundary alignmentUse from date: Checkbox for custom date range selection
Organization Filters
Organization: Shows "Zequenze" tag with an "X" for removalSub-organizations: Checkbox (checked) to include data from sub-organizations
Time Zone
Time zone: Dropdown showing "America/Mexico_City" - sets the timezone for all timestamps
Report Cache Management
Clear report cache: Button to refresh cached report data for updated results
Main Chart Area
The line graph displays:
X-axis: Date/time stamps (FebApr25711:10:00ampm throughFebApr268 8:00am)pm)Y-axis: Session count (scale from 40 to65)70)Orange data points: Mark specific time intervals on the timelineTrend line: Shows session count progression over time with a notable dramatic drop at the end of the period
Data Table
Columns include:
Date/time: Timestamp with clickable link icon for drill-downCount: Session count value (ranging from36.2.0 to 61.0)Anomaly distance: Numeric value showing deviation from normal (-4.7811.42 to 0.2)18)Anomaly detected: Visual indicator (green checkmark or red dot)
User Interactions
Viewing Session Data
- The chart automatically displays session trends based on active filters
- Hover over data points on the line graph to see detailed values
- Click on timestamps in the table to view session details
- Scroll through the table to review all 24 results
Applying Filters
- Click the FILTER button in the top-right to open the filter panel
- Adjust anomaly detection parameters:
- Toggle "Active" to enable/disable detection
- Modify "Data sample (%)" for analysis depth
- Change "Sensitivity" level (Very high, High, Medium, Low)
- Set time interval preferences (hours, days, weeks, months)
- Select organization and include/exclude sub-organizations
- Choose appropriate timezone for data display
- Use Clear report cache to refresh cached data when needed
- Click Proceed to apply changes
Analyzing Anomalies
- Review rows marked with red dots in the "Anomaly detected" column
- Check "Anomaly distance" values - higher absolute numbers indicate greater deviation
- Orange data points on the chart mark time intervals for analysis
- The chart shows a significant dramatic drop at the end of the monitoring period
Exporting Data
- Click the Export button in the top toolbar
- Choose between:
Line chart view for visual exportCSV format for raw data export
- Click Legend to include/exclude legend in exports
Navigation
Accessing This Page
From the left sidebar:
Breadcrumb Navigation
Located at the top: Home > AAA server > Results
Related Sections
Profiles: User profile managementClients: AAA client configurationDictionaries: Attribute definitionsLogs: Detailed logging informationFiles: File management for configurations
Data Displayed
Session Metrics
Count: Total number of accounting sessions in each time intervalDate/time: Precise timestamp for each data pointAnomaly distance: Statistical measure of deviation from expected values (negative values indicate below-normal activity, positive values indicate above-normal)
Anomaly Indicators
Green checkmark: Normal session activity within expected parametersRed dot: Anomaly detected based on configured sensitivity and window sizeOrange markers: Visual data points on the timeline chart
Current Data Set
The report shows 24 results spanning from 2608 FebApr 2026 10:21:00 to 2608 FebApr 2026 11:22:00, with:
- Session counts ranging from
36.2.0 to 61.0 - One
significantmajor anomaly at10:21:00 with -4.7811.42 distance and36.2.0 count - Multiple sessions showing normal activity with 0.0 anomaly distance
Actions Available
Primary Actions
Proceed: Applies current filter configuration and refreshes dataAnálisis AI: Launches AI-powered analysis tools for deeper insightsExport: Downloads report data in selected formatShare: Distributes report to team members or stakeholdersSave: Preserves current view configuration for future use
Data Management
Refresh: Manually updates the report with latest dataToggle Auto-refresh: Enables/disables automatic data updatesClear report cache: Refreshes cached report data for updated resultsClear Filters: Removes active filters by clicking "X" on filter tags
Drill-down Capabilities
- Click on any timestamp link (blue link with arrow icon) to view detailed session information
- Access individual session records for troubleshooting and analysis
Notes/Tips
Best Practices
Sensitivity Settings: Start with "Very high" sensitivity to catch all potential anomalies, then adjust based on false positive ratesData Sampling: 10% sample size is suitable for large datasets; increase for more precise anomaly detection on smaller datasetsTime Intervals: 24-hour intervals provide good balance between detail and overview for most monitoring scenariosCache Management: Use "Clear report cache" when data appears outdated or after configuration changes
Interpreting Anomalies
Negative anomaly distance: Indicates unusually low session counts (potential service issues)Positive anomaly distance: Indicates unusually high session counts (potential security events or legitimate traffic spikes)Zero distance: Sessions within normal expected range
Performance Considerations
- Enable "Sub-organizations" only when cross-organizational analysis is required
- Use appropriate time intervals to balance detail vs. system performance
- Export to CSV for complex analysis in external tools like Excel or data analysis platforms
- Clear report cache periodically for optimal performance
Troubleshooting
- If no anomalies appear but issues are suspected, lower the sensitivity setting
- Verify timezone settings match your operational requirements
- Check that the "Active" checkbox is enabled for anomaly detection to function
- Ensure "Zequenze" organization filter is correctly applied for relevant data
- Use "Clear report cache" if data appears stale or inconsistent
URL Parameters
The page URL contains several parameters that define the current view:
visualization_type=line: Display modeorganization__in=2: Organization ID filtersuborgs=1: Sub-organizations includedinterval=24h: 24-hour time intervalsanomaly=1: Anomaly detection enabledwindow=10: Detection window sizesigma=1: Statistical sensitivity parameter