Web26 apr. 2024 · One proposed way to improve IoT security is to use machine learning. … Web26 apr. 2024 · The results of the study are expected to be used in a network-based intrusion detection system (NIDS) to conduct anomaly detection on an IoT network. This article is organized as follows. Section 2 introduces the security and deep-learning method. A machine-learning application in IoT security is presented in Section 3.
Device Authentication Codes based on RF Fingerprinting using …
Web28 aug. 2024 · To the best of our knowledge, we are the first to apply deep learning techniques on the TCP payload of network traffic for IoT device classification and identification. Our approach can be used for the detection of … Web13 jun. 2024 · In this study, a novel intrusion detection method is proposed to detect … grace kelly dial m for murder
Device Authentication Codes based on RF Fingerprinting using …
Web19 apr. 2024 · In this paper, we propose Device Authentication Code (DAC), a novel method for authenticating IoT devices with wireless interface by exploiting their radio frequency (RF) signatures. The proposed DAC is based on RF fingerprinting, information theoretic method, feature learning, and discriminatory power of deep learning. Web1 apr. 2024 · The radio frequency (RF) fingerprint of IoT device is an inherent feature, which can hardly be imitated. In this paper, we propose a rogue device identification technique via RF fingerprinting using deep learning … Web13 dec. 2024 · Leveraging these features, we have developed a deep learning based classification model for IoT device fingerprinting. Using a real-world IoT dataset, our evaluation results demonstrate that the proposed method can achieve \({\sim }99\%\) accuracy in IoT device-type identification based on single network flow classification. grace kelly daughter stephanie