The present work addresses localization problem in
arbitrarily-deployed wireless networks in the presence of mali-
cious attackers that can manipulate (spoof) their distance mea-
surements. This problem is very important for the forthcoming
applications that depend on accurate location information, since
malicious attacks can potentially lead to disastrous consequences
without the consideration of the security aspect. Therefore,
this work proposes a new scheme for attacker detection based
on generalized likelihood ratio test (GLRT) applied after a
preliminary location estimate is obtained based on a simple
geometric approach. The detected attacker is then removed from
the localization process, which is converted into a generalized
trust region sub-problem (GTRS) framework by applying the
law of cosines (LC) and solved efficiently via bisectioning. The
work also introduces theoretical bounds on the probability of
detection in closed-form and studies the performance of the
proposed algorithm from computational complexity, success in
attacker detection, and localization accuracy perspectives. Our
simulations corroborate the effectiveness of the proposed scheme,
offering good localization accuracy and detection performance
even in noisy environments.