Detecting False Emergency Requests Using Callers' Reporting Behaviors and Locations
Mahdi Daghmehchi Firoozjaei, Jaewoo Park, Hyoungshick Kim · 2016
This paper introduces a security framework to detect false emergency requests, which might significantly disturb actual rescue operations for emergency services. We design a threshold-based false request detection algorithm named FRDA to effectively filter out false requests, which is based on a reasonable scoring formula to automatically evaluate the trustworthiness of emergency requests with the caller's reporting behavior and location. This study will be a basis for developing mitigation techniques to deal with false emergency requests.