[HTML][HTML] Zero-Trust Marine Cyberdefense for IoT-Based Communications: An Explainable Approach

EC Nkoro, JN Njoku, CI Nwakanma, JM Lee, DS Kim - Electronics, 2024 - mdpi.com
Integrating Explainable Artificial Intelligence (XAI) into marine cyberdefense systems can
address the lack of trustworthiness and low interpretability inherent in complex black-box …

A network intrusion detection method based on improved Bi-LSTM in Internet of Things environment

X Fan, R Yang - … Journal of Information Technologies and Systems …, 2023 - igi-global.com
When performing malicious network attack detection, traditional intrusion detection methods
show their disadvantage of low accuracy and high false detection rate. To address these …

A Novel Technique for Facial Recognition Based on the GSO‐CNN Deep Learning Algorithm

RH Al-Abboodi, AA Al-Ani - Journal of Electrical and Computer …, 2024 - Wiley Online Library
Face recognition is one of the important elements that can be used for securing the facilities,
emotion recognition, sentiment exploration, fraud analysis, and traffic pattern analysis …

[HTML][HTML] Unleashing the power of Bat optimized CNN-BiLSTM model for advanced network anomaly detection: Enhancing security and performance in IoT …

F Antonius, JC Sekhar, VS Rao, R Pradhan… - Alexandria Engineering …, 2023 - Elsevier
Abstract The growth of IoT (Internet of Things) devices has revolutionized several industries
and brought about novel security threats. Recognizing network anomalies that may point to …

[PDF][PDF] SHAP-Based Intrusion Detection Framework for Zero-Trust IoT Maritime Security

EC Nkoro, JN Njoku, CI Nwakanma… - Proceedings of the …, 2023 - researchgate.net
By integrating the Explainable AI (XAI) into Marine cyber defense systems, the lack of
trustworthiness, and low interpretability of complex black box Intrusion Detection Systems …

Network Intrusion Detection Method Based on CGAN and CNN-BiLSTM

X Liang, H Xing, T Hou - 2023 IEEE 16th International …, 2023 - ieeexplore.ieee.org
To a certain extent, the Internet has substantially enriched people's life due to its
convenience. At the same time, cyber-attacks are common and pose a significant threat to …

Multi Level Deep Learning Model for Network Anomaly Detection

MS Derweesh, SAH Alazawi… - Journal of Al-Qadisiyah for …, 2023 - jqcsm.qu.edu.iq
The increasing use of internet-based solutions and services in private and corporate sectors
has resulted in a significant increase in personal internet involvement. This shift …