Discussion on: NetShield: A User-Centric Deep Learning Framework for Real-Time Network Anomaly Detection and Resolution

Discussion: Scholarly discussion on any scientific article is very important for the advancement of science. We strongly suggest all readers and authors to participate in such activities. Comment posting facility is available at the end of this page. Comment should meet the minimum standard of scientific discussion. Personal communication, personal attack, abusive language, etc are not allowed and comments will be moderated.

Article Title

NetShield: A User-Centric Deep Learning Framework for Real-Time Network Anomaly Detection and Resolution

Authored by

Kaweesha Herath
Department of Information and Communication Technology, Faculty of Humanities and Social Sciences, University of Sri Jayewardenepura, Sri Lanka.

Maheesha Dhashantha Silva
Department of Information and Communication Technology, Faculty of Humanities and Social Sciences, University of Sri Jayewardenepura, Sri Lanka.

DOI or Article Link

https://doi.org/10.9734/ajrcos/2025/v18i8746

Leave a Comment

Notice: ob_end_flush(): Failed to send buffer of zlib output compression (0) in /home/reviewerhub/public_html/discussion.reviewerhub.org/wp-includes/functions.php on line 5471