Advances in Intelligent Systems and Computing, 2021
The expanding utilization of the Internet has enlarged dangers and new attacks for quite a while.... more The expanding utilization of the Internet has enlarged dangers and new attacks for quite a while. Altogether to recognize oddity in a network, the intrusion detection system has been proven to be a significant segment of secure networks. Machine learning model learns every time it predicts an output, and this property empowers them to distinguish the network pattern and find whether they are ordinary or noxious. There is an expanding demand for dependable and genuine dataset among the examined network. In this article, a comprehensive examination of the CSE-CIC-IDS2018 dataset is made. During the research, numerous issues and deficiencies in a dataset were found. Solutions to fix those issues led to a model different from the existing solutions. The model consisted of two components-principal component analysis and deep neural network. After pre-processing the dataset, it gave F1-score of 0.99, making it robust than other existing models.
Advances in Intelligent Systems and Computing, 2021
The expanding utilization of the Internet has enlarged dangers and new attacks for quite a while.... more The expanding utilization of the Internet has enlarged dangers and new attacks for quite a while. Altogether to recognize oddity in a network, the intrusion detection system has been proven to be a significant segment of secure networks. Machine learning model learns every time it predicts an output, and this property empowers them to distinguish the network pattern and find whether they are ordinary or noxious. There is an expanding demand for dependable and genuine dataset among the examined network. In this article, a comprehensive examination of the CSE-CIC-IDS2018 dataset is made. During the research, numerous issues and deficiencies in a dataset were found. Solutions to fix those issues led to a model different from the existing solutions. The model consisted of two components-principal component analysis and deep neural network. After pre-processing the dataset, it gave F1-score of 0.99, making it robust than other existing models.
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Papers by Vatsal Agarwal