OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems

Heliyon, Год журнала: 2024, Номер 10(8), С. e29410 - e29410

Опубликована: Апрель 1, 2024

Currently, the Internet of Things (IoT) generates a huge amount traffic data in communication and information technology. The diversification integration IoT applications terminals make vulnerable to intrusion attacks. Therefore, it is necessary develop an efficient Intrusion Detection System (IDS) that guarantees reliability, integrity, security systems. detection considered challenging task because inappropriate features existing input slow training process. In order address these issues, effective meta heuristic based feature selection deep learning techniques are developed for enhancing IDS. Osprey Optimization Algorithm (OOA) proposed selecting highly informative from which leads differentiation among normal attack network. Moreover, traditional sigmoid tangent activation functions replaced with Exponential Linear Unit (ELU) function propose modified Bi-directional Long Short Term Memory (Bi-LSTM). Bi-LSTM used classifying types ELU makes gradients extremely large during back-propagation faster learning. This research analysed three different datasets such as N-BaIoT, Canadian Institute Cybersecurity Dataset 2017 (CICIDS-2017), ToN-IoT datasets. empirical investigation states framework obtains impressive accuracy 99.98 %, 99.97 % 99.88 on CICIDS-2017, datasets, respectively. Compared peer frameworks, this high better interpretability reduced processing time.

Язык: Английский

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Temporal Convolutional Network Approach to Secure Open Charge Point Protocol (OCPP) in Electric Vehicle Charging

IEEE Access, Год журнала: 2025, Номер 13, С. 15272 - 15289

Опубликована: Янв. 1, 2025

Язык: Английский

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MAG-FSNet:A high-precision robust forest fire smoke detection model integrating local features and global information

Measurement, Год журнала: 2025, Номер unknown, С. 116813 - 116813

Опубликована: Янв. 1, 2025

Язык: Английский

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Anomaly Detection Solutions: The Dynamic loss Approach in VAE for Manufacturing and IoT Environment

Results in Engineering, Год журнала: 2025, Номер 25, С. 104277 - 104277

Опубликована: Фев. 6, 2025

Язык: Английский

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Explainable AI supported hybrid deep learnig method for layer 2 intrusion detection

Egyptian Informatics Journal, Год журнала: 2025, Номер 30, С. 100669 - 100669

Опубликована: Март 23, 2025

Язык: Английский

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