Improved Estimation of Trilateration Distances for Indoor Wireless Intrusion Detection
Detecting wireless network intruders is challenging since logical addressing information may be spoofed and the attacker may be located anywhere within radio range. Accurate indoor geo-location provides a method by which the physical location of rogue wireless devices may be pinpointed whilst providing an additional option for location-based access control. Existing methods for geo-location using Received Signal Strength (RSS) are imprecise, due to the multipath nature of indoor radio propagation and additional path-loss due to walls, and aim to minimise location estimate error. This paper presents an approach to indoor geo-location that improves measurements of RSS by averaging across multiple frequency channels and determining the occurrence of walls in the signal path.