LightGuardAgents: Secure and Robust Embedded Agents for Internet of Things Devices

This paper presents a novel architecture for creating light agents embedded on Internet of Things (IoT) devices, specifically addressing challenges such as security, scalability, and adaptability. Despite the increasing adoption of agent-based approaches in IoT systems, security and robustness mechanisms are often treated as external or ad hoc components in many existing solutions. This limits their effectiveness in dynamic environments that transmit sensitive and personal data and are, by nature, potentially untrusted. The proposed architecture applies Pyro4 for efficient communication among agents and implements a multi-level security scheme that combines symmetric, asymmetric, and hybrid encryption with Time-Based One-Time Passwords (TOTP)-based authentication. This ensures the data confidentiality and integrity within dynamic IoT environments. A case study validates the “agent of things” concept by confirming key security mechanisms such as agent authentication, multi-factor access control, secure communication, and fault resilience. Qualitative testing proved the architecture effective in mitigating common vulnerabilities in distributed agent environments, achieving high reliability scores in terms of security and performance. Experimental results show that over 75% of agent operations were completed in under 2 milliseconds, with a success rate above 99%, confirming the architecture’s lightweight execution and real-time readiness of the architecture for IoT environments. Therefore, the proposed architecture is particularly useful for researchers and practitioners working on secure IoT systems, embedded multi-agent architectures, and intelligent edge computing environments.

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Information
Published
2026-02-19
DOI
https://doi.org/10.3390/info17020213
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

LightGuardAgents: Secure and Robust Embedded Agents for Internet of Things Devices

José Caicedo-Ortiz, Juan A. Holgado-Terriza, Pablo Pico-Valencia, Deiber Olivares-Olivares
Information
IoT and Edge/Fog Computing
article

LightGuardAgents: Secure and Robust Embedded Agents for Internet of Things Devices

José Caicedo-Ortiz, Juan A. Holgado-Terriza, Pablo Pico-Valencia, Deiber Olivares-Olivares
article en

Abstract

This paper presents a novel architecture for creating light agents embedded on Internet of Things (IoT) devices, specifically addressing challenges such as security, scalability, and adaptability. Despite the increasing adoption of agent-based approaches in IoT systems, security and robustness mechanisms are often treated as external or ad hoc components in many existing solutions. This limits their effectiveness in dynamic environments that transmit sensitive and personal data and are, by nature, potentially untrusted. The proposed architecture applies Pyro4 for efficient communication among agents and implements a multi-level security scheme that combines symmetric, asymmetric, and hybrid encryption with Time-Based One-Time Passwords (TOTP)-based authentication. This ensures the data confidentiality and integrity within dynamic IoT environments. A case study validates the “agent of things” concept by confirming key security mechanisms such as agent authentication, multi-factor access control, secure communication, and fault resilience. Qualitative testing proved the architecture effective in mitigating common vulnerabilities in distributed agent environments, achieving high reliability scores in terms of security and performance. Experimental results show that over 75% of agent operations were completed in under 2 milliseconds, with a success rate above 99%, confirming the architecture’s lightweight execution and real-time readiness of the architecture for IoT environments. Therefore, the proposed architecture is particularly useful for researchers and practitioners working on secure IoT systems, embedded multi-agent architectures, and intelligent edge computing environments.

InformationVol. 17(2)
Universidad de Granada (ES), University of the Coast (CO)
Openalex Percentile: Top 58%
IoT and Edge/Fog Computing
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