Compromised Equipment Detection via Protocol Error Injection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional communication systems lack effective methods to detect compromised user equipment (UE) and access point equipment that maliciously exploit network functionalities, particularly in 5G networks, where AI/ML models are used for network optimizations, and existing protocols do not provide transparent detection mechanisms.
Innovation Solution
Intentionally introducing errors in communication protocol layers and using error counters to verify whether user equipment, access points, or network entities are compromised, allowing for detection without the malicious equipment being aware of the detection techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional communication protocols are used in 5G networks, then network efficiency and subscriber convenience are improved, but security against compromised equipment deteriorates
Solution Approach 1:
The system performs preliminary actions by intentionally introducing errors into communication protocols before actual malicious activity occurs. Error indicators are proactively injected at protocol layers (e.g., PDCP layer MAC-I verification failures) to establish a baseline for detecting compromised equipment before real security threats can exploit the network.
Solution Approach 2:
Error indicators serve as an intermediary mechanism between the network and compromised equipment. Instead of directly detecting malicious behavior, the system uses error indicators as a mediator that compromised equipment cannot distinguish from legitimate errors, allowing indirect detection of security breaches while maintaining normal protocol operation.
2Reliability
If error indicators are introduced to detect compromised equipment, then security detection capability is improved, but device complexity increases
Solution Approach 1:
The error indicator mechanism serves multiple functions simultaneously: it maintains backward compatibility with existing 5G protocols, provides security detection capability, and operates across multiple protocol layers (particularly PDCP layer integrity verification). This multi-functionality reduces the need for separate dedicated detection systems, thereby limiting the increase in overall device complexity.
Solution Approach 2:
The system changes parameters within existing protocols rather than introducing entirely new mechanisms. By modifying error indicator parameters (such as MAC-I verification failure counts) within the framework of existing 5G protocols, the system achieves enhanced detection capability while minimizing structural complexity additions to the protocol stack.
3Productivity
If AI/ML models are used for network optimization, then network performance is improved, but vulnerability to manipulation by compromised equipment increases
Solution Approach 1:
The system applies preliminary anti-action by introducing error indicators that preemptively counteract manipulation attempts before they can affect AI/ML models. Error indicators are injected into the network traffic that compromised equipment cannot distinguish from legitimate errors, preventing them from successfully manipulating AI/ML-based network optimization functions.
Solution Approach 2:
The system converts the presence of compromised equipment attempting manipulation into a beneficial detection opportunity. By monitoring error indicators that arise during manipulation attempts, the system transforms harmful activities into useful security detection data, allowing AI/ML models to be protected while maintaining their performance benefits.
Data Source
AI summary
Techniques for security management with compromised-equipment detection in a communication system are disclosed. For example, a method comprises causing intentional introduction of one or more errors in at least one communication protocol layer of a communication network, wherein the communication network has a plurality of user equipment connected thereto via at least one access point. The method further comprises causing verification of one or more received error indicators against one or more expected error indicators to decide whether any of: (i) the plurality of user equipment; (ii) the at least one access point; or (iii) one or more network entities, may be compromised. In other examples, verifications may be correlated with other logs including, for example, security event logs.