  We study cyber security issues in networked control of a linear dynamical
system. Specifically, the dynamical system and the controller are assumed to be
connected through a communication channel that face malicious attacks as well
as random packet losses due to unreliability of transmissions. We provide a
probabilistic characterization for the link failures which allows us to study
combined effects of malicious and random packet losses. We first investigate
almost sure stabilization under an event-triggered control law, where we
utilize Lyapunov-like functions to characterize the triggering times at which
the plant and the controller attempt to exchange state and control data over
the network. We then provide a look at the networked control problem from the
attacker's perspective and explore malicious attacks that cause instability.
Finally, we demonstrate the efficacy of our results with numerical examples.
