MLS: a novel hybrid security framework utilizing the Wiedemann algorithm and chaotic mapping for MQTT

MLS: a novel hybrid security framework utilizing the Wiedemann algorithm and chaotic mapping for MQTT

연구 분야: Safety

학회: The Journal of Supercomputing

The increasing demand for the Internet of Things (IoT) influences cloud computing security policies. Various methods have been developed to protect against hackers, with advanced techniques often favored due to their ability to enhance the robustness of algorithms. Each cloud platform includes a security broker (SB) section that plays a vital role in data balancing and management while supporting Message Queuing Telemetry Transport (MQTT) protocols. This article presents a multilayered security (MLS) approach that integrates a phased encryption method, combining the Wiedemann algorithm and chaotic mapping to enhance data security. Initial results show enhancements in three key areas: security, efficiency, and availability, achieved through a weighted and prioritized strategy. Furthermore, the article discusses the customer satisfaction index and techniques for attack mitigation. The results indicate a 60.67% increase in the customer satisfaction index and a 61.41% reduction in total assigned penalty costs.