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Accelerating a Secure Programmable Edge Network System for IoT

Internet-of-Things (IoT) applications have been challenged by vast emerging security threats. The increasing number of connected devices on an IoT network may encounter potential attacks while relaying messages over the public Internet. Security methods in traditional wireless networks are often specific to single architectures and are therefore ineffective in solving security issues that may surface on hybrid IoT networks. Our network solutions integrate a software defined end-edge-cloud network architecture for smart IoT applications. We apply a deep-learning (DL) based intrusion detection system (IDS) to secure this architecture.