Results: New accounting sessions

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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 time Anomaly Detection: Automated detection system that identifies unusual session patterns and flags them with distance metrics Time-series Analysis: Displays historical session data with customizable time intervals Multi-organization Support: Includes sub-organization filtering capabilities Export Functionality: Allows data export for external analysis and reporting Configurable Sensitivity: Adjustable anomaly detection parameters for fine-tuned monitoring

UI Elements

Top Action Bar

Refresh Button (circular arrows): Reloads the report data Off Toggle: Controls report auto-refresh status Análisis AI: Accesses AI-powered analysis features Reports: Navigation to other report types Export: Exports data in various formats Save Button (bookmark icon): Saves current report configuration Share Button: Shares report with other users Filter Toggle (green checkmark): Opens/closes the filter panel Display Options:

Line chart view CSV export Legend toggle

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 analysis Sensitivity: 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 aggregation Complete intervals: Checkbox option for interval boundary alignment Use from date: Checkbox for custom date range selection

Organization Filters

Organization: Shows "Zequenze" tag with an "X" for removal Sub-organizations: Checkbox (checked) to include data from sub-organizations

Time Zone

Time zone: Dropdown showing "America/Mexico_City" - sets the timezone for all timestamps

Main Chart Area

The line graph displays:

X-axis: Date/time stamps (Feb 12 6:00 pm through Feb 13 3:00 pm) Y-axis: Session count (scale from 48 to 172) Yellow warning markers: Indicate detected anomalies on the timeline Trend line: Shows session count progression over time with visible anomaly spike at the end

Data Table

Columns include:

Date/time: Timestamp with clickable link icon for drill-down Count: Session count value (ranging from 46.0 to 61.0) Anomaly distance: Numeric value showing deviation from normal (-2.82 to 0.2) 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 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 Yellow warning markers on the chart highlight time periods with detected anomalies The chart shows a significant spike at approximately Feb 13 3:00 pm

Exporting Data

Click the Export button in the top toolbar Choose between:

Line chart view for visual export CSV format for raw data export Click Legend to include/exclude legend in exports

Accessing This Page

From the left sidebar:

Navigate to APPLICATIONS section Expand AAA services Select Accounting Click on Reports

Located at the top: Home > AAA server > Results

Profiles: User profile management Clients: AAA client configuration Dictionaries: Attribute definitions Logs: Detailed logging information Files: File management for configurations

Data Displayed

Session Metrics

Count: Total number of accounting sessions in each time interval Date/time: Precise timestamp for each data point Anomaly 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 parameters Red dot: Anomaly detected based on configured sensitivity and window size Yellow markers: Visual alerts on the timeline chart

Current Data Set

The report shows 24 results spanning from 12 Feb 2026 18:00 to 13 Feb 2026 17:00, with:

Most sessions showing 60.0-61.0 count One notable anomaly at 17:00 with -2.82 distance and 46.0 count Another anomaly at 23:00 with 0.2 distance and 61.0 count

Actions Available

Primary Actions

Proceed: Applies current filter configuration and refreshes data Análisis AI: Launches AI-powered analysis tools for deeper insights Export: Downloads report data in selected format Share: Distributes report to team members or stakeholders Save: Preserves current view configuration for future use

Data Management

Refresh: Manually updates the report with latest data Toggle Auto-refresh: Enables/disables automatic data updates Clear 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 rates Data Sampling: 10% sample size is suitable for large datasets; increase for more precise anomaly detection on smaller datasets Time Intervals: 24-hour intervals provide good balance between detail and overview for most monitoring scenarios

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

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

URL Parameters

The page URL contains several parameters that define the current view:

visualization_type=line: Display mode organization__in=2: Organization ID filter suborgs=1: Sub-organizations included interval=24h: 24-hour time intervals anomaly=1: Anomaly detection enabled window=10: Detection window size sigma=1: Statistical sensitivity parameter