Anamoly Detection Using Pso In Cloud Integrated Iot Devices Usign Mdgan

Document Type : Primary Research paper


1 Associate Professor, Department of Computer Science, Sri Meenakshi Govt. Arts College for Women, Madurai, Tamilnadu, India

2 Assistant Professor, Department of Computer Applications, VHNSN College, (Autonomous), Virudhunagar, Tamilnadu, India


The major impact of IoT functionalities primary depend on its cloud architecture. Though both these technologies executes in parallel but differs based on its principles and its functionalities. The device demand request is quenched using cloud methodologies as the resources are dynamic in nature. The access and demand are adopted for every resource and deploys cloud SPI architecture as the resources works on all the three verticals of cloud. The dynamic functionality is done without human intervention and are carried out by the basic principles of IoT. Due to this there is an urge for setting vigorous security mechanism in cloud and IoT to detect its anomalies. The launch of 2PA in this work implies security measures over IoT devices that get connect with the cloud for resource access. Both grant and access mechanisms are done with 2PA methods for providing immense security features for anomaly detection. The impact of PSO in this work provides optimization value for every IoT resources and the results are evaluated by MDGAN algorithm for providing optimized results.