Distributed Detection over Blockchain-aided Internet of Things in the Presence of Attacks

Distributed detection over a blockchain-aided Internet of Things (BIoT) network in the presence attacks is considered, where integrated blockchain employed to secure data exchanges BIoT as well storage at agents BIoT. We consider general adversary model attackers jointly exploit vulnerability IoT devices and that The optimal attacking strategy which minimizes Kullback-Leibler divergence pursued. It can be shown this optimization problem nonconvex, hence it generally intractable find globally solution such problem. To overcome issue, we first propose relaxation method convert original nonconvex into convex problem, then analytic expression for relaxed derived. value provides performance guarantee attacks. In addition, develop coordinate descent algorithm based on capped water-filling solve moreover, show convergence proposed guaranteed.