Develop a AI/mL Tool to Descry Whether a System / Firewall /Router / Network is Compromised

Author(s)	Prashant Golhar, Yash Shriwas, Bhawna Bhoyar, Divyani Bhusari, Dhanraj Tikhat
Country	India
Abstract	Computer networks target several kinds of attacks every hour and day; they evolved to make significant pitfalls. The core of ML models’ discovery efficiency relies on the dataset’s quality to train the model.
Keywords	Artificial Intelligence, Machine learning, Natural language processing, Algorithms, Technologies, knowledge based system.
Field	Engineering
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-11-12
Cite This	Develop a AI/mL Tool to Descry Whether a System / Firewall /Router / Network is Compromised - Prashant Golhar, Yash Shriwas, Bhawna Bhoyar, Divyani Bhusari, Dhanraj Tikhat - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8725
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.8725
Short DOI	https://doi.org/gs4xrd

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International Journal For Multidisciplinary Research