EFFECTIVE MULTITASK DEEP LEARNING FOR IOT MALWARE DETECTION AND IDENTIFICATION USING BEHAVIORAL

Abstract

This program emphasizes the
protection of our expanding network of intelligent
devices. The IoT device in residential, health and
other industries requires the need to ensure these
network technologies. Technological progress
also increases related risks. We examine the
domain of attacks on malware, including
prominent cases such as Botnet Mirai. By
understanding these risks, we want to develop
effective countermeasures. This initiative has two
goals. We create resistant security solutions
specially designed for IoT devices.