Internet of Things (IoT)Multi-cloud computingIntrusion detection system (IDS)Deep learning techniqueDetection accuracyThe possibility of connecting billions of smart end devices in the Internet of Things (IoT) provides wide range of services to the user. But, the unlimited connectivity of devices in...
Deep learning for intrusion detection in IoT networks 来自 Springer 喜欢 0 阅读量: 1 作者:Mehdi Selem,Farah Jemili,Ouajdi Korbaa 摘要: The rapid proliferation of Internet of Things (IoT) devices has transformed our daily lives, introducing innovations like smart homes, wearables, and advanced ...
In: Proc IEEE 39th Int Conf Distrib Comput Syst pp 756–767. https://doi.org/10.48550/arXiv.1804.07474 Mothukuri V, Khare P, Parizi RM, Pouriyeh S, Dehghantanha A, Srivastava G (2022) Federated learning-based anomaly detection for IoT security attacks. IEEE Internet Things J 9(4):...
An intrusion detection system (IDS) is a security mechanism that works mainly in the network layer of an IoT system. An IDS deployed for an IoT system should be able to analyze packets of data and generate responses in real time, analyze data packets in different layers of the IoT network ...
Deep Learning (DL) has gained popularity in network intrusion detection, due to its strong capability of recognizing subtle differences between normal and malicious network activities. Although a variety of methods have been designed to leverage DL models for security protection, whether these systems ...
In this scenario, an Intrusion Detection Systems is necessary. Here, we propose an approach to quickly and accurately detect intrusive activities in the EoT network, to realize the full potential of the IoT. Specifically, we propose a deep belief network (DBN) based on an advanced intrusion ...
IoT; cyber attacks; intrusion detection; deep learning; attention mechanism1. Introduction With the leap forward in next-generation information technology such as 5G, artificial intelligence, and big data, IoT has entered a new era of development. However, connected devices in IoT systems often ...
First, we propose a novel framework for the detection of known and zero-day attacks in IoT networks, based on TL and network fine-tuning. Second, we propose the creation of three specialized datasets to train and evaluate the framework: (i) the UNSW-NB15-Basic, with normal traffic and fo...
Title: Intrusion Detection in IoT Systems Using Ensemble Machine Learning Techniques Publisher: IEEE Authors: Bishal Laha; Debopriya Basu; Souvik Biswas; Pallabi Gupta; Bikash Sadhukhan Published in: 2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON) Date of Con...
Towards Machine Learning Based Intrusion Detection in IoT Networks The Internet of Things(IoT)integrates billions of self-organized and heterogeneous smart nodes that communicate with each other without human intervention... N Islam,F Farhin,I Sultana,... - 计算机,材料和连续体(英文) 被引量: 0发...