HIGHLIGHTS
- who: Pavlos Papadopoulos and collaborators from the School of Computing, Edinburgh Napier University, Edinburgh , DT, UK have published the paper: Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT, in the Journal: (JOURNAL)
- what: The work evaluates both traditional machine learning and deep learning models' robustness using the Bot-IoT dataset. Machine_learning-based IDS solutions are vulnerable when the model is targeted and exploited by adversarial cybercriminals. Rather than evaluating the model using the training and testing split and as explained in Section 2.3, four-fold cross-validation was used. The targeted FGSM . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.