Weighted Fiber Optic Intrusion Detection Algorithm
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Solution Overview
Problem
Existing fiber optic intrusion detection systems treat disturbance events as binary events, failing to consider the magnitude or score of disturbances, which can lead to false positives and delayed alarm triggering.
Innovation Solution
A weighted signal discrimination and detection algorithm that calculates a score for each disturbance event based on its intensity and associated factors, using a processor to sum these scores and trigger an alarm when the total exceeds a predetermined threshold within a specified time period, thereby accounting for the severity of events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a binary event detection system is used to monitor fiber optic disturbances, then the system complexity is low, but the measurement precision and reliability of intrusion detection deteriorate due to false positives and delayed alarm triggering
Solution Approach 1:
The patent transforms the binary detection approach into a multi-parameter scoring system. Each disturbance event is assigned a score based on multiple parameters including event magnitude, event type classification, frequency of occurrence, and temporal patterns. This parameter change enables more precise discrimination between genuine intrusions and false alarm sources while maintaining manageable system complexity through algorithmic processing.
2Ease of operation
If all disturbance events are treated equally as binary events, then the ease of operation is high, but the reliability of alarm triggering deteriorates due to false positives from minor disturbances
Solution Approach 1:
The patent applies local quality by assigning different weights and scoring criteria to different types of disturbance events based on their characteristics. Minor disturbances such as environmental factors receive lower scores, while disturbances with characteristics matching intrusion patterns receive higher scores. This localized differentiation improves alarm reliability without significantly complicating the overall operation, as the scoring rules are pre-configured and automatically applied.
Solution Approach 2:
The system incorporates feedback mechanisms where alarm histories and event patterns are analyzed to continuously refine scoring thresholds and parameters. The system learns from past events to adjust sensitivity, reducing false positives while maintaining reliable detection of genuine intrusions. This feedback loop improves reliability while keeping the system easy to operate through automated adjustment.
3Reliability
If the system waits for multiple binary events to trigger an alarm, then the false positive rate decreases, but the response time to detect intrusions increases
Solution Approach 1:
The patent implements dynamic alarm triggering based on accumulated scores rather than fixed event counts. The system continuously updates disturbance scores and compares them against dynamically adjusted thresholds. When scores rapidly accumulate or reach critical levels, alarms are triggered immediately, reducing detection time for significant intrusions while maintaining false positive reduction through the scoring mechanism. The system adapts its sensitivity based on the severity and pattern of accumulated events.
Data Source
AI summary
An optical fiber is monitored for changes in a monitor signal caused when the fiber is subjected to vibration, motion, or handling typical of an intrusion attempt and for triggering an alarm condition in response by one or more sensors. The sensor emits data on each disturbance event including the existence of the disturbance event and a value associated with the disturbance event dependent on an intensity of the disturbance. The arrangement herein provides an algorithm to analyze the disturbance events which calculates for each event a score dependent on the presence of the event and the value associated with the event, generates a summation of the scores in a FIFO and when the summation of the scores exceeds a predetermined threshold within a predetermined time period, the processor emits a signal triggering the alarm condition.