How to Secure Distributed Filters Under Sensor Attacks

A Satisfiability Modulo Theory Approach to Secure State Reconstruction in Differentially Flat Systems Under Sensor Attacks

We address the problem of estimating the state of a differentially flat system from measurements that may be corrupted by an adversarial attack. In cyber-physical systems, malicious attacks can directly compromise the system’s sensors or manipulate the communication between sensors and controllers. We consider attacks that only corrupt a subset of sensor measurements. We show that the possibili...

Secure Computation Under Network and Physical Attacks

Secure computation enables many parties to jointly compute a function of their private inputs. The security requirement is that the input privacy of any honest party is preserved even if other parties participating in the protocol collude or deviate from the protocol. In concurrent and physical attacks, adversarial parties try to break the privacy of honest parties by exploiting the network con...

Decentralized Sensor Fusion with Distributed Particle Filters

This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized architectures impose severe scaling limitations for distributed systems due to the enormous communication overheads. We propose a strictly decentralized approach in which only nearby platforms exchange information. They do...

SECURE CONNECTIVITY THROUGH KEY PREDISTRIBUTION UNDER JAMMING ATTACKS IN AD HOC AND SENSOR NETWORKS by

Sensor Network Configuration Under Physical Attacks

Sensor networks typically operate in hostile outdoor environments. In such environments, sensor networks are highly susceptible to physical attacks that can result in physical node destructions. In this paper, we study the impacts of physical attacks on sensor network configuration. Lifetime is an important metric during configuration for many sensor applications. While lifetime is constrained ...