Secure Cyber Defense: An Analysis of Network Intrusion-Based Dataset CCD-IDSv1 with Machine Learning and Deep Learning Models

Secure Cyber Defense: An Analysis of Network Intrusion-Based Dataset CCD-IDSv1 with Machine Learning and Deep Learning Models

Anomaly detection and multi-attack classification are major concerns for cyber defense. Several publicly available datasets have been used extensively for the evaluation of Intrusion Detection Systems (IDSs). However, most of the publicly available datasets may not contain attack scenarios based on...

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Bibliographic Details
Main Authors: Niraj Thapa, Zhipeng Liu, Addison Shaver, Albert Esterline, Balakrishna Gokaraju, Kaushik Roy
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
intrusion detection system
CCD-IDSv1
machine learning
deep learning
KNN
CART
Online Access:https://www.mdpi.com/2079-9292/10/15/1747

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https://www.mdpi.com/2079-9292/10/15/1747

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