Threat Modeling for Communication Security of IoT-Enabled Digital Logistics

Area of Science:

• Computer Science
• Engineering
• Supply Chain Management

Background:

• Modern logistics increasingly uses Wireless Sensor Network (WSN) Internet of Things (IoT) devices for efficiency.
• These devices offer real-time asset monitoring and tracking, crucial for preventing delays, loss, and fraud.
• Integrating IoT into logistics requires addressing security challenges due to mobile, inaccessible, and environmentally exposed sensors.

Purpose of the Study:

• To develop a threat model specifically for IoT-enabled asset tracking and monitoring systems in smart logistics.
• To address the gap in existing IoT threat models that do not focus on logistics-specific security concerns for critical asset shipping.
• To identify and categorize both malicious and non-malicious threats to IoT sensors in logistics operations.

Main Methods:

• Review of current literature on IoT security and threat models.
• Presentation of a general architecture for an IoT-enabled tracking/monitoring system.
• Development of a logistics-specific threat model considering operational challenges like mobility and environmental exposure.
• Categorization of identified threats and suggestion of potential countermeasures.

Main Results:

• Existing IoT threat models lack focus on the unique security challenges within the logistics industry.
• A novel threat model is proposed, tailored to the specific deployment conditions of IoT sensors in logistics (mobility, inaccessibility, uncontrolled environments).
• The model accounts for a range of threats, including physical damage, attacks on sensors, and communication interception.

Conclusions:

• A comprehensive, logistics-specific threat model is essential for securing IoT systems in asset tracking and monitoring.
• The proposed model provides a framework for identifying vulnerabilities and implementing effective countermeasures in smart logistics.
• Addressing these security threats is critical for realizing the full potential of IoT in modernizing the shipping industry.