Anomaly Detection of Zero-Day Attacks Based on CNN and Regularization Techniques

Anomaly Detection of Zero-Day Attacks Based on CNN and Regularization Techniques

The rapid development of cyberattacks in the field of the Internet of things (IoT) introduces new security challenges regarding zero-day attacks. Intrusion-detection systems (IDS) are usually trained on specific attacks to protect the IoT application, but the attacks that are yet unknown for IDS (i....

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Bibliographic Details
Main Authors: Belal Ibrahim Hairab, Heba K. Aslan, Mahmoud Said Elsayed, Anca D. Jurcut, Marianne A. Azer
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
backdoor
convolutional neural networks
distributed denial of service
machine learning
IDS
IoT
Online Access:https://www.mdpi.com/2079-9292/12/3/573

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https://www.mdpi.com/2079-9292/12/3/573

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