An Intelligent Iot Attack Detection Framework Using Effective Edge Ai Based Computing

Abstract

More amount of IoT devices are included, weared in day today's lifestyle. These Internet of Things (IoT) devices are intelligent and makes ease the decision making processes by overcoming the challenges with the integration of Artificial Intelligence (machine learning and deep learning) techniques. It is necessary to ensure whether the collected intelligent information is utilized in secure manner. Slower data processing may lead to data breaches or leaks in data communication. Hence, to address the above-mentioned issue, this paper proposed a novel and secured intelligence framework. The proposed framework adopts edge computing to increase the speed of data processing in order to integrate the security essentials amid software applications and their associated networks. As this proposed framework is enabled with AI, discovering malicious threats become effective. Finally, the proposed framework achieves a maximum accuracy of 99.5% than any state of the art models.