OT Protocol Threat Detection via State Machine Model

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Solution Overview

Problem

Existing OT protocol security systems for Industrial Control Systems (ICS) face challenges in detecting cyber threats due to limited visibility into data exchanges between devices, delayed threat detection, and complex anomaly interpretation, which can lead to operational disruptions and safety hazards.

Innovation Solution

A method and system using a state machine model to detect cyber threats during interactions between devices over OT protocols in ICS. This involves requesting and receiving valid data packets, establishing valid states, and analyzing these states to determine if observed behaviors align with expected behaviors defined by the state machine model.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing OT protocol security systems are implemented, then some level of threat detection is achieved, but visibility into data exchanges between devices remains limited

Engineering Contradiction:
Improvethreat detection capabilityVSAvoidvisibility into data exchanges
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent introduces a protocol analyzer as an intermediary component that sits between devices communicating over OT protocols. This analyzer intercepts and examines data packets without disrupting normal communication, providing deep visibility into data exchanges while maintaining system operation. The analyzer acts as a mediator that gains insight into protocol communications without requiring direct access to device internals or sensitive data.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive monitoring of device interactions is implemented, then threat detection accuracy improves, but system complexity and resource requirements increase

Engineering Contradiction:
Improvethreat detection accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the threat detection function into modular components: packet capture module, protocol parsing module, state machine evaluation module, and alert generation module. Each component handles a specific aspect of the detection process, making the overall system more manageable and maintainable. The state machine model itself is segmented into discrete states and transitions, allowing for systematic analysis of protocol compliance without requiring complex holistic analysis.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates a virtual model (state machine) that replicates the expected behavior of OT protocol interactions. Instead of directly analyzing complex real-time device states, the system uses a simplified copy or representation of protocol behavior that can be easily evaluated. This virtual state machine captures the essential protocol logic without the complexity of actual device internals, enabling accurate threat detection with reduced computational burden.

Inventive Principle:
Principle #26Copying

3Measurement precision

If state machine model analysis is performed on all packets, then cyber threat detection accuracy improves, but processing time and computational resources increase

Engineering Contradiction:
Improvethreat detection accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies partial action by selectively analyzing only those packets that are relevant to protocol state transitions. Rather than performing exhaustive analysis on every single packet, the system focuses computational resources on packets that could potentially indicate protocol violations or threats. The state machine model naturally filters analysis to only those moments when state transitions occur, avoiding unnecessary processing of routine compliant communications.

Inventive Principle:
Principle #16Partial or excessive action

4Reliability

If deep packet analysis is implemented to detect anomalies, then threat detection capability improves, but implementation and maintenance resources increase

Engineering Contradiction:
Improvethreat detection capabilityVSAvoidimplementation ease
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent performs preliminary action by pre-defining the state machine model with all expected protocol states and transitions before deployment. This model is established in advance based on protocol specifications, eliminating the need for complex real-time analysis rule creation. The system comes pre-configured with knowledge of valid protocol behavior, making implementation straightforward and maintenance simpler since updates only require modifying the predefined state machine rather than creating new detection logic from scratch.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250193211A1System and method for detecting cyber threats over operation technology (OT) protocols using state machine model
Publication Date: 2025.06.12 UTILTYX INC
  • US20250193211A1 patent drawing
  • US20250193211A1 patent drawing
  • US20250193211A1 patent drawing

AI summary

Embodiments herein provide a system and method for detecting cyber threats during an interaction between a first device and a second device over Operation Technology (OT) protocols in an Industrial Control System (ICS) by implementing a state machine model. The method includes (i) initiating a requesting state, if the first device transmits a valid data packet that is subsequently received by the second device, (ii) transitioning to a responding state if the first device received a valid response packet for that valid data packet from the second device, (iii) transitioning to an unsolicited state if the valid data packet is originated from the first device only, (iv) analyzing cyber threats by assessing the observed behavior of response packets aligns with the expected behavior defined by a state machine model. This method approach enhances the system's ability to detect and respond to deviations from normal operation, thereby improving overall security and reliability in industrial environments.