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Design choices are discussed and motivated throughout, assessing their impact on the user authentication performance.
To protect smartphones from adversaries, we propose secure re-authentication systems that exploit the embedded sensors of smartphones to achieve accurate authentication performance implicitly, efficiently, and continuously.
To the authentication performance point of view, authentication delay is a major critical factor.
In EAP-AKA protocol, the fast re-authentication has the better authentication performance than the full authentication.
Then, the error probabilities are used to compute for a given channel model, the configuration which maximizes the authentication performance.
● In this case, the opponent is active since he tries to adapt his strategy in order to degrade the authentication performance.
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Figure 8 shows the authentication performances using an estimated Gaussian model (b=2) from N o =2,000 observed symbols.
As we shall see in the rest of the paper, authentication performances are directly impacted by the discrimination between the two channels and can be maximized by channel optimization.
● It is in the opponent's interest to adapt its channel in order to decrease the authentication performances of the system; this can be possible by solving a max-min game.
We can also notice that for the same channel power, the authentication performances are better for b=6 then for b=2 and b=1. Figure 4 Comparison between the Gaussian approximation, the asymptotic expression, and Monte Carlo simulations for b = 1, b =2, and b = 6.
After establishing the prototype system, the authentication and performance tests were conducted.
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