Sensor networks security based on sensitive robots agents. A conceptual model

TL;DR

This paper introduces a novel hybrid sensitive robot metaheuristic model for intrusion detection in sensor networks, leveraging virtual robots' reactions to stigmergic variables to enhance security.

Contribution

The paper presents a new conceptual model combining sensitive robots and metaheuristics for intrusion detection in sensor networks, adaptable with machine learning techniques.

Findings

Model effectively tracks intruders in sensor networks.

Compatible with machine learning-based intrusion detection.

Provides a new approach to complex network security problems.

Abstract

Multi-agent systems are currently applied to solve complex problems. The security of networks is an eloquent example of a complex and difficult problem. A new model-concept Hybrid Sensitive Robot Metaheuristic for Intrusion Detection is introduced in the current paper. The proposed technique could be used with machine learning based intrusion detection techniques. The new model uses the reaction of virtual sensitive robots to different stigmergic variables in order to keep the tracks of the intruders when securing a sensor network.