Construction of VAE-GRU-XGBoost intrusion detection model for network security. [PDF]
Chen Y, Zheng X, Wang N.
europepmc +1 more source
Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks. [PDF]
Sukhni BA, Manna SK, Dave JM, Zhang L.
europepmc +1 more source
Mitigating distributed denial of service attacks using attribute subset selection with temporal convolutional networks. [PDF]
Alamro H +7 more
europepmc +1 more source
Detecting command injection attacks in web applications based on novel deep learning methods. [PDF]
Wang X, Zhai J, Yang H.
europepmc +1 more source
Modelling of hybrid deep learning framework with recursive feature elimination for distributed denial of service attack detection systems. [PDF]
Alkhliwi S.
europepmc +1 more source
(H-DIR)<sup>2</sup>: A Scalable Entropy-Based Framework for Anomaly Detection and Cybersecurity in Cloud IoT Data Centers. [PDF]
Tosi D, Pazzi R.
europepmc +1 more source
A cost effective machine learning based network intrusion detection system using Raspberry Pi for real time analysis. [PDF]
Wijethilaka RWKS, Yapa K, Siriwardena D.
europepmc +1 more source
Comparative evaluation of approaches & tools for effective security testing of Web applications. [PDF]
Qadir S, Waheed E, Khanum A, Jehan S.
europepmc +1 more source
An IoT intrusion detection framework based on feature selection and large language models fine-tuning. [PDF]
Ma H, Zhang W, Zhang D, Chen B.
europepmc +1 more source
From Edge Transformer to IoT Decisions: Offloaded Embeddings for Lightweight Intrusion Detection. [PDF]
Adjewa F +2 more
europepmc +1 more source

