DFIR 42 | IoT Device Forensics | Uplatz

IoT device forensics focuses on identifying, collecting and analyzing evidence from connected devices such as smart cameras, wearables, home automation systems, industrial sensors and other network-enabled devices.

In this forty-second episode of the Digital Forensics & Incident Response (DFIR) course by Uplatz, we explore how investigators examine IoT devices and the surrounding ecosystem to reconstruct activity and identify potential security incidents.

Key topics covered include:

• What is IoT forensics?
• Types of IoT devices
• Smart home devices
• Wearable devices
• Smart cameras
• Industrial IoT
• Connected vehicles concepts
• Sensors and telemetry
• IoT device logs
• Device identifiers
• Firmware analysis concepts
• Local storage
• Flash memory concepts
• Mobile companion apps
• Cloud-connected IoT services
• Account activity
• Device configuration
• Network communication
• Wi-Fi evidence
• Bluetooth evidence
• MQTT concepts
• API activity
• Device-to-cloud traffic
• Event timestamps
• Sensor data
• Location-related artifacts
• User activity
• Authentication records
• Firmware versions
• Configuration changes
• Compromised IoT devices
• Malware on IoT devices
• Botnet activity concepts
• Unauthorized access
• Network scanning indicators
• Data exfiltration concepts
• Evidence acquisition challenges
• Volatile evidence
• Proprietary file formats
• Limited storage
• Device-specific tools
• Cloud evidence correlation
• Mobile app correlation
• Network log correlation
• Timeline reconstruction
• Evidence preservation
• Privacy considerations
• Legal considerations
• Common IoT forensic challenges
• IoT forensic best practices

IoT investigations can be challenging because evidence may be spread across the physical device, its mobile application, cloud services and network infrastructure.

Many IoT devices also have limited local storage, which means valuable logs can be overwritten quickly or stored primarily in the cloud.

Investigators therefore often need to combine several evidence sources, including device data, router logs, cloud records and companion app artifacts, to reconstruct what happened.

IoT evidence can be especially useful in investigations involving unauthorized access, surveillance devices, smart home incidents, industrial systems or compromised devices used as part of a botnet.

This episode continues the Cloud & Emerging Tech Forensics module of the Uplatz Digital Forensics & Incident Response course and prepares you for the next topic: blockchain and cryptocurrency forensics.

Subscribe to the Uplatz YouTube channel and follow the complete DFIR course to learn IoT forensics, cloud investigation, digital evidence analysis and incident response step by step.

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