This paper considers the problem of set-based state estimation for linear time-invariant (LTI)
systems under time-varying sensor attacks. Provided that the LTI system is stable and …

When a strategic adversary can attack multiple sensors of a system and freely choose a
different set of sensors at different times, how can we ensure that the state estimate remains …

This paper considers the problem of set-based state estimation for linear time-invariant (LTI)
systems under time-varying sensor attacks. Provided that the LTI system is stable and …

This paper studies the problem of secure state estimation of a linear time-invariant (LTI)
system with bounded noise in the presence of sparse attacks on an unknown, time-varying …

Interconnections in modern systems make them vulnerable to adversarial attackers both by
corrupting communication channels and compromising entire subsystems. The field of …

This paper investigates the problem of sparse attack isolation and distributed secure state
estimation (SSE) for remote sensor network in an attack-prone environment. The attack …

In this paper, we propose a distributed signal reconstruction protocol based on resilient
consensus framework under a Byzantine adversary model. Specifically, a compromised …

Wireless networks have become an integral part of modern communication systems.
However, they are vulnerable to security threats due to the inherent nature of wireless …

This thesis focuses on threat analysis and management in distributed learning scenarios
intending to develop algorithms to mitigate the impact of adversaries in the network. The …

In this dissertation, we consider the problem of collaborating a network of nodes to
accomplish an objective, which could be monitoring the state of a dynamical system or …