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Creators/Authors contains: "Ramtin, Amir Rezae"

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  1. ; ; ; ; (, Proceedings of 2021 ACM SIGMETRICS MAMA Workshop)
    We state and prove the square root scaling laws for the amount of traffic injected by a covert attacker into a net- work from a set of homes under the assumption that traffic descriptors follow a multivariate Gaussian distribution. We numerically evaluate the obtained result under realistic set- tings wherein traffic is collected from real users, leveraging detectors that exploit multiple features. Under such circum- stances, we observe that phase transitions predicted by the model still hold. 
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    Accepted Manuscript Full Text Available