Cellular Network Device Identification for Enterprise Security
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Solution Overview
Problem
Existing systems face challenges in identifying devices associated with unauthorized activities and notifying enterprise facilities in real-time while optimizing network resources and bandwidth utilization.
Innovation Solution
A computing platform with a communication interface and processor detects user devices, collects device information, and generates alert notifications based on activity messages, using high-generation cellular networks for accurate and timely notifications across multiple enterprise facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time detection and notification of unauthorized activities is implemented across multiple enterprise facilities, then security response speed and accuracy are improved, but network bandwidth utilization and computing infrastructure resources are consumed
Solution Approach 1:
The system performs preliminary actions by pre-detecting and collecting device information before unauthorized activities occur. The computing platform continuously monitors and stores device data in advance, so when an unauthorized activity is detected, the system can immediately generate and send notifications without needing to collect data in real-time during the incident, thus improving response speed while reducing instantaneous network resource consumption
Solution Approach 2:
The notification system is segmented into multiple independent components: device detection modules at each enterprise facility, a central computing platform for processing, and notification delivery channels. This segmentation allows the system to process and transmit notifications in parallel across different facilities, improving overall security response reliability while distributing network resource consumption across multiple independent paths rather than consuming concentrated bandwidth
2Measurement precision
If comprehensive device information collection and analysis is performed to accurately identify devices associated with unauthorized activities, then identification accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The computing platform performs preliminary action by continuously collecting and pre-processing device information from all enterprise facilities before incidents occur. Device data including identifiers, locations, and activity patterns are stored in advance in a structured format. When an unauthorized activity is detected, the system can immediately query and analyze the pre-collected data without needing to gather information during the incident, thus achieving high identification accuracy without adding processing time to the security response
Solution Approach 2:
The system applies partial action by collecting and analyzing only the specific device information relevant to unauthorized activities rather than processing all possible data. The computing platform focuses on collecting device identifiers, locations, and activity patterns that are directly related to security incidents, filtering out unnecessary data. This selective approach maintains high identification accuracy while reducing computational complexity and processing time compared to comprehensive analysis of all available data
3Productivity
If real-time alert notifications are sent to multiple enterprise facilities, then prevention capability of unauthorized activities is improved, but network bandwidth utilization increases
Solution Approach 1:
The system performs preliminary action by pre-establishing notification routes and recipient lists for each type of unauthorized activity. When an incident is detected, the computing platform can immediately send notifications along pre-configured paths without needing to determine recipients or routes in real-time. This approach maintains high prevention efficiency by ensuring rapid notification delivery while reducing instantaneous bandwidth utilization by avoiding complex real-time routing decisions
Solution Approach 2:
The notification system implements periodic action by sending alerts in scheduled batches or at predetermined intervals rather than continuously streaming notifications. The computing platform can aggregate multiple related notifications and deliver them in periodic batches, or schedule notifications based on priority levels and time windows. This approach maintains effective prevention capability by ensuring all facilities receive necessary alerts while reducing overall bandwidth utilization compared to continuous real-time notification streams
Data Source
AI summary
Aspects of the disclosure relate to utilizing a high generation cellular network for identifying devices associated with unauthorized activities and notifying enterprise facilities. A computing platform may collect device information for a plurality of user devices at a first location. Then, the computing platform may receive, from a first device at the first location, a message related to a first activity in a vicinity of the first location. Then, the computing platform may identify a sub-plurality of the plurality of user devices, wherein the sub-plurality of user devices are located at the first location at a time of occurrence of the first activity. Then, the computing platform may generate an alert notification comprising information related to the first activity and device information for the sub-plurality of user devices. Subsequently, the computing platform may send the alert notification to a collection of devices at a plurality of locations.