LocAuth: A fine-grained indoor location-based authentication system using wireless networks characteristics

摘要: Abstract Location-based information has become an attractive attribute for use in many services including localization, tracking, positioning, and authentication. An additional layer of security can be obtained by verifying the identity users who wish to access confidential resources only within restricted, small, indoor trusted zones. The objective this paper is construct highly secure areas primarily detecting legitimate their work cubicles. In paper, we present a fine-grained location-based authentication system (LocAuth) which ensures physical presence user his/her small zone (2 m2 area). To do this, LocAuth exploits ambient wireless network characteristics (e.g., BSSID, SSID, RSSI) nearby Wi-Fi Bluetooth devices observed from each zone. We propose novel technique called Top-Ranked Network Nodes (TRNNs) accurately overcome fluctuations signals enhance ability distinguish targeted neighboring areas. addition, developed application implement on Android-based smartphones tested it real environment. area composed seven adjacent closely spaced cubicles located our lab. evaluated two ways: through RSSI-based nearest neighbors (RSSI-based NN) supervised machine learning algorithm (Support Vector Machines). results experiment show effectiveness achieving high classification accuracy (above 98%). This demonstrates its feasibility terms both as well classification.