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2 articles for “Kmeans algorithm”

• Published Subscription 9 Feb 2023

  An Experimental Approach of Machine Learning Algorithms to Detect Botnet DDoS Attacks

  By Voore Subrahmanyam, Vinnakota Shivani, Siraboina Prasunanju, Akula Pranay, Sanikommu Shreya Reddy

  Abstract: Botnets are one of the threats in a network to hamper the quality of the network by disrupting theresources of the network. These Botnets can be controlled remotely by Botmaster. The Machine Learning Algorithms play a major role to detect and control the Botnets that cause to DDoS attacks, malwares and phishing attacks that are vulnerable to network resources. The DDoS attacks are most dangerous malware events that disrupt whole …

  Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 7–14 Read article →

• Published Subscription Original Research 14 Aug 2024

  Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques

  By Sayed Abdulhayan, Varsha M, Adam Adhil, Hazil Muhammed, Mohamed Favas V.P., Mohammad Fadil

  Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …

  Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article →