A Security Enhancement of the Precision Time Protocol Using a Trusted Supervisor Node.

Area of Science:

• Computer Networking
• Network Security
• Distributed Systems

Background:

• Precision Time Protocol (PTP) (IEEE 1588-2019) enables microsecond clock synchronization, crucial for industrial and financial applications.
• PTP networks are vulnerable to security threats, particularly internal attacks, which can compromise synchronization accuracy with severe consequences.
• Existing security measures inadequately address internal PTP attacks, necessitating novel defense strategies.

Purpose of the Study:

• To investigate the limitations of current security approaches against internal attacks on PTP networks.
• To propose a new security framework utilizing a trusted supervisor node (TSN) for enhanced PTP security.
• To develop and evaluate detection algorithms for identifying internal PTP attacks via TSNs.

Main Methods:

• Building upon existing research on PTP internal attack impacts.
• Implementing a trusted supervisor node (TSN) concept, aligned with IEEE 1588-2019 prong D.
• Developing two distinct detection algorithms for two TSN types, analyzing slave delay/offset and PTP message timestamps.
• Conducting experiments to validate the proposed detection methods.

Main Results:

• The proposed TSN-based approach effectively detects all tested internal PTP attacks.
• Two types of TSNs with varying capabilities were defined, each with a corresponding detection algorithm.
• Experimental validation confirmed the efficacy of the detection algorithms in identifying malicious activities.

Conclusions:

• The trusted supervisor node (TSN) offers a viable solution for detecting internal attacks on PTP networks.
• The proposed methods demonstrate significant improvements in PTP security against sophisticated internal threats.
• Further research is needed to address the limitations of the proposed TSN detection methods.