Author :
Immadi Lahitha, Madala Anjali, Nadella Suma Valli Devi, B SuneethaJourna Name:
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH AND ENGINEERING TRENDS Country :
IndiaVolume:
10 issue:3 Year:2024 Views : 665
Abstract:
Considering the widespread and constantly changing nature of DDoS attacks, the introduction emphasizes the vital necessity for efficient detection techniques. It promotes the use of ensemble approaches and deep learning for machine learning-based intrusion detection, highlighting the need for current datasets. The work makes significant additions to the discipline by introducing structured data exploitation, creating supervised machine learning classifiers, and validating suggested techniques against previous research.