Deep learning techniques for web-based attack detection in industry 5.0: A novel approach
As the manufacturing industry advances towards Industry 5.0, which heavily integrates
advanced technologies such as cyber-physical systems, artificial intelligence, and the …
advanced technologies such as cyber-physical systems, artificial intelligence, and the …
[HTML][HTML] Reputation aware optimal team formation for collaborative software crowdsourcing in industry 5.0
Collaborative software crowdsourcing (CSC) is now a vital part of the technological
workforce due to the rising need for software solutions in an industry 5.0 smart city that …
workforce due to the rising need for software solutions in an industry 5.0 smart city that …
Performance evaluation of machine learning techniques for detecting cross-site scripting attacks
The entire world shares the digital form of information through the Internet by accessing
multiple websites. The link to these websites can be shared by authenticated or …
multiple websites. The link to these websites can be shared by authenticated or …
[HTML][HTML] Towards a federated and hybrid cloud computing environment for sustainable and effective provisioning of cyber security virtual laboratories
Cloud Computing (CC) and virtualization concepts are two advanced technologies
introduced to empower distance and blended learning. Besides, they play a crucial role in …
introduced to empower distance and blended learning. Besides, they play a crucial role in …
Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus
Diabetes Mellitus is one of the oldest diseases known to humankind, dating back to ancient
Egypt. The disease is a chronic metabolic disorder that heavily burdens healthcare …
Egypt. The disease is a chronic metabolic disorder that heavily burdens healthcare …
A set of semantic data flow diagrams and its security analysis based on ontologies and knowledge graphs
A Brazhuk - arXiv preprint arXiv:2303.11198, 2023 - arxiv.org
For a long time threat modeling was treated as a manual, complicated process. However
modern agile development methodologies and cloud computing technologies require …
modern agile development methodologies and cloud computing technologies require …
An explainable machine learning-based web attack detection system for industrial IoT web application security
ABSTRACT Within Industry 4.0, the integration of Industrial IoT (IIoT) marks a transformative
phase for modern industries, fostering the development of smart factories and intelligent …
phase for modern industries, fostering the development of smart factories and intelligent …
Cervical Cancer Diagnosis Using Stacked Ensemble Model and Optimized Feature Selection: An Explainable Artificial Intelligence Approach
Cervical cancer affects more than half a million women worldwide each year and causes
over 300,000 deaths. The main goals of this paper are to study the effect of applying feature …
over 300,000 deaths. The main goals of this paper are to study the effect of applying feature …
[PDF][PDF] Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach. Technologies 2023, 11, 107
As the manufacturing industry advances towards Industry 5.0, which heavily integrates
advanced technologies such as cyber-physical systems, artificial intelligence, and the …
advanced technologies such as cyber-physical systems, artificial intelligence, and the …
Anomaly detection in smart grid using a trace-based graph deep learning model
S Ida Evangeline, S Darwin, P Peter Anandkumar… - Electrical …, 2024 - Springer
Electricity plays a significant role in the everyday lives of people. Researchers have long
been interested in the classification problem of electric power anomaly detection. Anomaly …
been interested in the classification problem of electric power anomaly detection. Anomaly …