Distributed Intrusion Detection for the Security of Societies of Robots
Adriano Fagiolini, Gianluca Dini, Antonio Bicchi

TL;DR
This paper proposes a distributed intrusion detection system for robot societies, enabling individual robots to detect misbehaving neighbors based solely on local observations and social rules, enhancing security in autonomous multi-robot systems.
Contribution
It introduces a formalism and protocol for distributed intrusion detection that can be automatically generated for various robot societies and behaviors.
Findings
Effective detection of misbehaving robots demonstrated in examples
Protocol adapts to different social rules and robot dynamics
Enables autonomous, local security actions in robot groups
Abstract
This paper addresses the problem of detecting possible intruders in a group of autonomous robots, which coexist in a shared environment and interact with each other according to a set of "social behaviors", or common rules. Such rules specify what actions each robot is allowed to perform in the pursuit of its individual goals: rules are distributed, i.e. they can evaluated based only on the state of the individual robot, and on information that can be sensed directly or through communication with immediate neighbors. We consider intruders as robots which misbehave, i.e. do not follow the rules, because of either spontaneous failures or malicious reprogramming. Our goal is to detect intruders by observing the congruence of their behavior with the social rules as applied to the current state of the overall system. Moreover, in accordance with the fully distributed nature of the problem,…
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Taxonomy
TopicsDistributed systems and fault tolerance · Modular Robots and Swarm Intelligence · Mobile Agent-Based Network Management
