What question did this study set out to answer?

To propose a chaotic metaheuristic technique for securing data sharing in IoT environments against MQTT-related threats.

July 5, 2026Discover ComputingOpen Access

A novel secured and reliable chaotic metaheuristic technique for data sharing in IoT fog environment

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Randomized trial evaluates a novel cryptographic technique against MQTT attacks in IoT systems, suggesting enhanced security measures.

To propose a chaotic metaheuristic technique for securing data sharing in IoT environments against MQTT-related threats.
Implemented a network-aware chaotic swarm evoked ASCON-based cryptographic technique.
Utilized Python version 3.9 and Charm-Crypto framework for experimentation.
Conducted extensive tests to evaluate the performance of the proposed method against various attacks.
Achieved a computation time of 0.45 seconds for the proposed technique.
Demonstrated superiority over existing security models in resilience to MQTT attacks.
Validated model effectiveness in enhancing privacy measures in smart IoT systems.

Prabhakar et al. (2026) studied this question.

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July 5, 2026Discover ComputingOpen Access

View Full Paper

Ask AI

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Authors

Randomized trial evaluates a novel cryptographic technique against MQTT attacks in IoT systems, suggesting enhanced security measures.

To propose a chaotic metaheuristic technique for securing data sharing in IoT environments against MQTT-related threats.
Implemented a network-aware chaotic swarm evoked ASCON-based cryptographic technique.
Utilized Python version 3.9 and Charm-Crypto framework for experimentation.
Conducted extensive tests to evaluate the performance of the proposed method against various attacks.
Achieved a computation time of 0.45 seconds for the proposed technique.
Demonstrated superiority over existing security models in resilience to MQTT attacks.
Validated model effectiveness in enhancing privacy measures in smart IoT systems.

Prabhakar et al. (2026) studied this question.

View Full Paper

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