Automated Security Policy Generation for IoT Controllers
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Solution Overview
Problem
Internet-connected devices, such as those in vehicles, are vulnerable to cyber-attacks due to security bugs in their software, allowing hackers to exploit and control critical systems, posing risks to safety and functionality.
Innovation Solution
Implementing customized security policies automatically generated and enforced on controllers without modifying the underlying software, using middleware that includes process verification services and anti-tampering agents to restrict operations to expected behaviors and block malicious attempts, thereby preventing attacks from infiltrating the device's internal infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security layers are added to controllers to prevent cyber-attacks, then security reliability is improved, but device complexity increases
Solution Approach 1:
The patent introduces a security policy generation system as an intermediary component that sits between the controller software and the security enforcement layer. This intermediary automatically analyzes controller code and generates customized security policies, acting as a mediator that simplifies the complexity of implementing security measures without requiring direct modification of the controller's core software.
Solution Approach 2:
The system implements self-service by automatically generating security policies based on analysis of the controller's own code. The security policy generation system processes the controller software autonomously to create customized security rules, eliminating the need for manual security policy creation and reducing the operational complexity of security implementation.
2Ease of operation
If customized security policies are automatically generated without modifying underlying software, then ease of operation is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent replaces manual security policy creation processes with an automated computer-based system. Instead of requiring manual analysis and configuration of security policies, the system uses automated code analysis tools to generate security policies, substituting mechanical manual operations with digital automation that improves ease of operation while maintaining precision through systematic analysis.
Solution Approach 2:
The system changes the parameters of security policy generation from manual configuration to automated analysis-based generation. By transforming the input parameters from user-defined rules to code-analyzed characteristics, the system achieves both ease of operation through automation and manufacturing precision through systematic code analysis.
3Object-affected harmful factors
If security policies restrict controller operations to expected behaviors, then harmful factors are reduced, but adaptability decreases
Solution Approach 1:
The system performs preliminary action by analyzing controller code before deployment to generate security policies that define expected behaviors in advance. This preliminary code analysis allows the system to establish security rules based on the actual intended functionality of the controller, enabling the system to adapt to different controller types while maintaining security by preventing harmful behaviors that were not anticipated in the original design.
Solution Approach 2:
The patent implements feedback mechanisms where the security policy generation system continuously analyzes controller behavior and adjusts security policies accordingly. The system monitors controller operations and compares them against expected behaviors, providing feedback that allows the security layer to adapt to legitimate operational variations while blocking harmful actions.
Data Source
AI summary
In one implementation, a method for automatically generating a security policy for a controller includes receiving, by a security policy generation system and from a controller development environment, code for a device controller; selecting middleware that enforces a security policy; analyzing the code for the device controller; based at least in part on the analyzing, automatically generating the security policy; and providing the selected middleware along with the generated security policy.