Secure Localization and Velocity Estimation in Mobile IoT Networks With Malicious Attacks

Secure localization and velocity estimation are of great importance in Internet-of-Things (IoT) applications particularly challenging the presence malicious attacks. The problem becomes even more practical scenarios which attack information is unknown anchor node location uncertainties occur due to mobility falsification nodes. This investigated this article. With reasonable assumptions on model uncertainties, secure formulated as an intractable maximum a posterior (MAP) problem. A variational-message-passing (VMP)-based algorithm proposed approximate true distribution iteratively find closed-form estimates securely. identification nodes also achieved meantime. convergence VMP-based discussed. Numerical simulations finally conducted results show joint can approach Bayesian Cramer Rao bound superior other algorithms.