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20202023
most citedRSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY2023★ 1 cited

RSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations

Paul J Bonczek, Nicola Bezzo

Typical cooperative multi-agent systems (MASs) exchange information to coordinate their motion in proximity-based control consensus schemes to complete a common objective. However,…

eess.SY2021

Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations

Paul J Bonczek, Nicola Bezzo

A resilient multi-vehicle system cooperatively performs tasks by exchanging information, detecting, and removing cyber attacks that have the intent of hijacking or diminishing perf…

eess.SY2021

Detection of Hidden Attacks on Cyber-Physical Systems from Serial Magnitude and Sign Randomness Inconsistencies

Paul J Bonczek, Nicola Bezzo

Stealthy false data injection attacks on cyber-physical systems (CPSs) introduce erroneous measurement information to on-board sensors with the purpose to degrade system performanc…

eess.SY2020

Model-based Randomness Monitor for Stealthy Sensor Attacks

Paul J. Bonczek, Shijie Gao, Nicola Bezzo

Malicious attacks on modern autonomous cyber-physical systems (CPSs) can leverage information about the system dynamics and noise characteristics to hide while hijacking the system…

eess.SY2020

Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks

Paul J. Bonczek, Nicola Bezzo

Stealthy false data injection attacks on cyber-physical systems introduce erroneous measurements onto sensors with the intent to degrade system performance. An intelligent attacker…