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Using Wifi Fingerprinting Is An Important Issue

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Abstract—Accurately localization using WiFi fingerprinting is an important issue. As many sensors can be exposed to attacks, we need to be sure about the validity of the received data and to get the accurate position inspite of the presence of attack. We address the problem of detecting malicious attacks to the sensors of a WiFi fingerprinting network. Here, we suggest a novel algorithm to detect the attack using statistical measurement.
We expose our data to a spoofing attack algorithm to see the effect of our attack detection algorithm. We are able to enhance the prediction of locations in presence of attack by using our detection scheme.
Keywords—WiFi fingerprinting, Localization, RSSI, Security,
Cyber-physical
I. I NTRODUCTION
The term cyber-physical systems (CPS) refers to a new systems with integrated computational and physical capa-bilities that can interact with humans through many new modalities [1]. CPS have been at the core of critical in-frastructures and industrial control systems for years. CPS are becoming more vulnerable to computer attacks for many reasons [3]. There are many challenges for securing cyber-physical systems [2].
Indoor localization is an example of cyber-physical systems.
For outdoor localization, a Global Navigation Satellite System
(GNSS) such as Global Positioning System (GPS) can be used. However, GPS is not suitable for indoor environments as the satellite signals cannot penetrate walls or roof of buildings [10] [11].
Indoor localization

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