Graph-based federated learning approach for intrusion detection in IoT networks. [PDF]
Al Tfaily F +5 more
europepmc +1 more source
Efficient detection of intrusions in TON-IoT dataset using hybrid feature selection approach. [PDF]
Dharini N, Janani VS, Katiravan J.
europepmc +1 more source
Security Audit of IoT Device Networks: A Reproducible Machine Learning Framework for Threat Detection and Performance Benchmarking. [PDF]
Shaikhanova A +5 more
europepmc +1 more source
Collaborative penetration testing suite for emerging generative AI algorithms. [PDF]
Radanliev P.
europepmc +1 more source
Enhancing cyberthreat defense mechanisms using ensemble of representation learning with binary Ebola optimization search in internet of things environment. [PDF]
Alanazi MH +7 more
europepmc +1 more source
Detecting SQL Injection and XSS Attack
This study aims to enhance the identification of XSS and SQL injection as threats by developing a CNN-LSTM model. XSS and SQL injection threats remain apparent when it comes to the security of web applications. Accordingly, for enhancing the detection accuracy and the model’s ability to maintain invariance, CNNs are adopted for performing local feature
openaire +1 more source
Review of XSS Attack and Detection on Web Applications [PDF]
Zhi-ming DING, Dan WANG, Wen-bing ZHAO
openaire +1 more source
An intelligent deep representation learning with enhanced feature selection approach for cyberattack detection in internet of things enabled cloud environment. [PDF]
Alamro H +7 more
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
KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection. [PDF]
Ullah S, Wu J, Kamal MM, Saudagar AKJ.
europepmc +1 more source

