Timeline Analysis

Documentation Index

Fetch the complete documentation index at: https://mintlify.com/sepinf-inc/IPED/llms.txt

Use this file to discover all available pages before exploring further.

​

Overview

• Chronological view - Display items sorted by timestamp
• Event expansion - Expand items into multiple timestamped events
• Unified timeline - Combine events from all evidence sources
• Time-based filtering - Focus on specific time periods
• Event correlation - Identify concurrent activities across devices
• Visual timeline - Graphical representation of events over time

​

Timeline Features

​

Timestamp Types

• File System Timestamps
  • Created time
  • Modified time
  • Accessed time
  • Entry modified time (MFT change)
• Metadata Timestamps
  • Document creation date
  • Last printed date
  • Email sent/received
  • Photo taken date (EXIF)
  • GPS track points
• Application Timestamps
  • Chat message time
  • Call start/end time
  • Browser history visits
  • System log entries

​

Timeline View Mode

public void setTimelineTableView(boolean isEnabled) {
    if (timelineViewEnabled != isEnabled) {
        timelineViewEnabled = isEnabled;
        updateGUI(true);
    }
}

• Items automatically sorted by timestamp ascending
• Timeline columns moved to prominent position
• Special timeline icon displayed
• Results filtered through TimelineResults

​

Event Expansion

public IMultiSearchResult filterResult(IMultiSearchResult src) {
    if (isTimelineViewEnabled()) {
        return new TimelineResults(appCase).expandTimestamps(src);
    }
    return src;
}

​

Expansion Examples

• Sent event
• Received event
• Each attachment as separate event

• Individual track point events
• Each point with location and time

• Individual page visit events
• Download events
• Form submission events

• Individual message events
• Media attachment events
• Call events

​

Timeline Columns

​

Timestamp

• Date and time of event
• Sortable in ascending/descending order
• Timezone-aware display

​

Event Type

• File system operation
• Communication event
• Application activity
• User action

​

Description

• “Email sent to john@example.com”
• “Photo taken at location”
• “File created”
• “WhatsApp message sent”

​

Source Device

• Device name
• Evidence identifier
• User account

​

Related Items

• Parent item
• Related conversations
• Attached files

​

Column Management

private void updateGUI(boolean updateResults) {
    if (timelineViewEnabled) {
        // Move timeline columns to position 5 (prominent)
        ColumnsManagerUI.getInstance().moveTimelineColumns(5);
    } else {
        // Move timeline columns to position 14 (less prominent)
        ColumnsManagerUI.getInstance().moveTimelineColumns(14);
    }
}

• Timeline mode: timestamp, event type, description prominently displayed
• Normal mode: standard forensic columns (hash, size, type) prioritized

​

Automatic Sorting

private void updateSortingColumn() {
    if (timelineViewEnabled) {
        // Save current sort keys
        timelinePrevSortKeys = sortKeys;
        
        // Set to timestamp ascending
        ArrayList<SortKey> sortScore = new ArrayList<>();
        sortScore.add(new SortKey(timeStampColIdx, SortOrder.ASCENDING));
        resultsTable.getRowSorter().setSortKeys(sortScore);
    } else {
        // Restore previous sorting
        resultsTable.getRowSorter().setSortKeys(timelinePrevSortKeys);
    }
}

• Entering timeline mode: automatically sort by timestamp
• Exiting timeline mode: restore previous sort order
• Manual sorting still available

​

Time Chart Visualization

​

Event Distribution Chart

• Number of events per time period
• Configurable granularity (hour, day, week, month)
• Interactive zoom and pan
• Click to filter to time period

​

Activity Heatmap

• Activity intensity over time
• Multi-device correlation
• Peak activity periods
• Gaps in evidence

​

Suspects Correlation Chart

• Activities of multiple suspects
• Temporal relationships
• Concurrent events across devices
• Communication patterns

​

Time-Based Filtering

​

Date Range Selection

2023-01-01 00:00:00 TO 2023-01-31 23:59:59

• Absolute dates and times
• Relative time (last 7 days, last month)
• Custom date/time ranges
• Multiple non-contiguous periods

​

Time-of-Day Analysis

• Business hours (9am-5pm)
• After hours activity
• Specific time windows
• Recurring time patterns

​

Timeline Bookmarking

• Label significant events
• Mark suspicious timeframes
• Annotate timeline segments
• Export bookmarked periods

​

Multi-Source Timeline

​

Data Sources

• Multiple devices - Phones, computers, tablets
• Cloud services - Email, social media, storage
• Network logs - Router logs, firewall logs
• Application data - Chat apps, browsers, documents

​

Time Synchronization

• Detect device timezone settings
• Convert all times to common timezone
• Display timezone information
• Account for daylight saving time

​

Time Skew Detection

• Compare timestamps across sources
• Flag suspicious time differences
• Adjust for known clock skew
• Document time inconsistencies

​

Event Filtering

​

By Event Type

• File system events only
• Communication events (email, chat, calls)
• Application-specific events
• User actions vs. system events

​

By Source

• Specific device or evidence item
• Specific user account
• Specific application

​

By Content

• Events mentioning keywords
• Events involving specific people
• Events at specific locations
• Events matching patterns

​

Use Cases

​

Alibi Verification

1. Extract GPS timeline from phone
2. Correlate with cell tower data
3. Compare with camera EXIF timestamps
4. Cross-reference with communication timeline

​

Activity Reconstruction

1. Enable timeline view
2. Filter to relevant time period
3. Review chronological sequence
4. Identify gaps and anomalies
5. Document activity pattern

​

Multi-Suspect Correlation

1. Create timeline for each suspect
2. Overlay timelines on chart
3. Identify concurrent activities
4. Find communication overlaps
5. Map interaction patterns

​

Data Exfiltration Detection

1. Timeline of file access events
2. Correlate with network activity
3. Identify large file transfers
4. Match with removable media connections

​

Incident Response Timeline

1. Initial compromise timestamp
2. Lateral movement activities
3. Data access and exfiltration
4. Cleanup and anti-forensics
5. Complete attack timeline

​

Performance Optimization

​

Indexed Timestamps

• Lucene date indexing
• Binary tree sorting
• Cached sort results

​

Lazy Event Expansion

• Initial view shows aggregated items
• Expand to events only when needed
• Reduces memory usage
• Faster initial load

​

Time Range Optimization

timestamp:[2023-01-01 TO 2023-12-31]

• Prunes non-matching documents
• Uses inverted index
• Supports range queries

​

Export Options

​

Timeline Report

• HTML format with embedded CSS
• CSV format for analysis in Excel
• PDF format for formal reports
• Configurable columns and filters

​

Super Timeline Format

• Compatible with external tools
• Standard forensic timeline format
• Includes all metadata
• Preserves relationships

​

Integration with Other Features

​

Graph Analysis

• Visualize when communications occurred
• Identify temporal clustering
• See evolution of relationships over time

​

Location Mapping

• Movement timeline
• Location history
• Geofenced events
• Travel patterns

​

Search Integration

• Keyword search limited to time period
• Find events matching criteria
• Highlight matches in timeline

​

Best Practices

1. Verify timezone settings - Ensure correct timezone conversion
2. Account for clock skew - Document known time discrepancies
3. Use multiple timestamp types - Corroborate with different sources
4. Bookmark key events - Mark significant points for reference
5. Export timeline data - Preserve for reporting and analysis
6. Cross-reference sources - Validate timestamps across devices
7. Document gaps - Note missing time periods and reasons

​

Limitations

• Timestamp accuracy depends on source reliability
• System clock manipulation can affect timeline
• Not all items have reliable timestamps
• Timezone conversion requires proper configuration
• Large timelines can impact performance
• Event expansion increases result set size