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[01078] DNN-based hybrid ensemble learning strategy for XSS detection and defense

  • Session Time & Room : 2E (Aug.22, 17:40-19:20) @E803
  • Type : Contributed Talk
  • Abstract : Due to the high level of intelligence displayed by attackers, existing web-based security applications have failed. When attackers make changes to an organization's data, it is one of the most dangerous attacks (XSS). Combining ML and DL frameworks is proposed as a way to detect and defend against XSS assaults with high accuracy and efficiency. Using this representation, a new method is developed for integrating stacking ensembles into web-based software, which is called "hybrid stacking".
  • Classification : 68T01, 68T05, 68T07, Machine Learning, Deep Learning
  • Format : Online Talk on Zoom
  • Author(s) :
    • Seethalakshmi Perumal (MIT Campus, Anna University - Chennai)