Network Activity Profiling for Decommissioned Device Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack effective methods to detect and decommission telecommunication network devices that have been incorrectly marked as inactive or not fully decommissioned, leading to potential security vulnerabilities and data breaches.
Innovation Solution
A system utilizing software agents to monitor network activity levels, generate profiles on a blockchain, and compare activity deviations to detect and decommission incorrectly marked devices, ensuring they are properly disconnected from the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices are marked as inactive to remove them from service, then network security is improved by preventing unauthorized access, but security vulnerabilities arise when devices are not properly decommissioned and remain detectable on the network
Solution Approach 1:
The system performs preliminary actions by establishing baseline activity profiles for devices before decommissioning and continuously monitoring for deviations. This allows detection of devices that appear inactive but maintain residual network presence, enabling proper decommissioning verification before security risks materialize.
Solution Approach 2:
The system implements feedback mechanisms by comparing current device activity against established baselines and decommissioning records. When deviations are detected (such as unexpected activity from marked-inactive devices), the system triggers alerts and corrective decommissioning procedures, creating a closed-loop security verification system.
2Measurement precision
If comprehensive monitoring of all network devices is implemented to detect decommissioned devices, then detection accuracy is improved, but system complexity and resource consumption increase
Solution Approach 1:
The system applies local quality by tailoring monitoring intensity to device risk profiles. Instead of uniform monitoring, it focuses detailed detection on devices with decommissioning anomalies or elevated risk indicators, while applying lighter monitoring to low-risk devices. This differential approach maintains high detection accuracy for critical cases while reducing overall system complexity.
Solution Approach 2:
The system employs partial action by monitoring only specific activity parameters (such as network traffic patterns, authentication events, or data access) rather than all possible device operations. This selective monitoring achieves sufficient detection accuracy for decommissioned device identification without the resource burden of comprehensive system-wide surveillance.
Data Source
AI summary
The system determines a list of active telecommunication network devices at a location and measures a standard activity level for each active telecommunication network device at the location. The system generates a profile for each active telecommunication network device at the location and records the data of each profile on a blockchain. The system monitors a network for deviations from the standard activity level and detects unexpected activity at the location. The system compares the unexpected activity to the standard activity level recorded on the blockchain and determines the source of the unexpected activity based on the source's Internet Protocol address and the comparison of the unexpected activity level to the standard activity level. The system determines a list of security vulnerabilities caused by the decommissioned telecommunication network device being active on the network and executes a predetermined decommissioning procedure on the source of the unexpected activity.