1 research outputs found
Towards Secure Localization in Randomly Deployed Wireless Networks
Being able to accurately locate wireless devices, while guaranteeing
high-level of security against spoofing attacks, benefits all participants in
the localization chain (e.g., end users, network operators, and location
service providers). On the one hand, most of existing localization systems are
designed for innocuous environments, where no malicious adversaries are
present. This makes them highly susceptible to security threats coming from
interferers, attacks or even unintentional errors (malfunctions) and thus,
practically futile in hostile settings. On the other hand, existing secure
localization solutions make certain (favorable) assumptions regarding the
network topology (e.g., that the target device lies within a convex hull formed
by reference points), which restrict their applicability. Therefore, this work
addresses the problem of target localization in randomly deployed wireless
networks in the presence of malicious attackers, whose goal is to manipulate
(spoof) the estimation process and disable accurate localization. We propose a
low-complex solution based on clustering and weighted central mass to detect
attackers, using only the bare minimum of reference points, after which we
solve the localization problem by a bisection procedure. The proposed method is
studied from both localization accuracy and success in attacker detection point
of views, where closed-form expressions for upper and lower bounds on the
probability of attacker detection are derived. Its performance is validated
through computer simulations, which corroborate the effectiveness of the
proposed scheme, outperforming the state-of-the-art methods.Comment: Submitted to IEEE Internet of Things Journa