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@article{199802,
        author = {MR.S. Manoj Kumar},
        title = {DESIGN AND IMPLEMENTATION AI-ENHANCED TRUST AND SECURITY IN INDUSTRIAL IOT NETWORKS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {14131-14135},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199802},
        abstract = {Ai-enhanced Trust and Security in Industrial IoT is an advanced automation solution designed to improve efficiency, safety, and flexibility in industrial environments. Traditional industrial systems rely heavily on manual operation or basic remote-control methods, which are often time-consuming, less efficient, and prone to human error. To overcome these limitations, the proposed system integrates Artificial Intelligence (AI), Internet of Things (IoT), and a mobile-based Android application (APK) to enable intelligent and hands-free control of industrial loads. In this system, the user interacts with the industrial setup through a mobile application by giving voice commands. These commands are processed using AI-based speech recognition techniques, converting speech into text and identifying the intended operation. The processed command is then transmitted via the internet using IoT communication protocols such as Wi-Fi or GSM to a microcontroller unit like ESP8266 or ESP32. The microcontroller interprets the received command and activates relay modules to control industrial loads such as motors, lights, and other machinery. Additionally, the system incorporates various sensors to monitor parameters like voltage, current, temperature, and load conditions in real time. This data is continuously transmitted back to the cloud platform and displayed on the mobile application, allowing users to monitor system performance remotely. The integration of AI enables faster and more accurate command processing, while IoT ensures seamless connectivity and real-time data exchange. This system significantly reduces manual effort, enhances operational safety—especially in hazardous environments—and improves energy efficiency through better load management. It also provides scalability, allowing multiple devices to be controlled simultaneously. Overall, the proposed system represents a smart and cost-effective approach toward industrial automation, contributing to the development of intelligent and connected industrial systems.},
        keywords = {IOT module, Arduino, Relay, Android App, Artificial Intelligence.},
        month = {April},
        }