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A comparative study of machine learning and deep learning classifiers for network intrusion detection system(nids)

By: Keerti

Material type: Text

TextPublisher: Hamirpur : National Institute of Technology, 2022Description: vii, 47pDDC classification: 004 Dissertation note: Master of Technology, Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2022 Guide / Supervisor: Kumar, Rajeev

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Item type	Current location	Call number	Status	Date due	Barcode
Thesis or Dissertation	Central Library On Display	004 KEE (Browse shelf)	Available		TH-1463
Thesis or Dissertation	Computer Science and Engineering (Departmental Library) On Display	004 KEE (Browse shelf)	Available		CS-DR-359

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Previous	004 KAU Secure health monitoring and communication system for iot	004 KAU Credit card fraud detection using continual learning	004 KAU Analysis of performance metrics for classification of punjabi poetry using topic modelling and machine learning techniques	004 KEE A comparative study of machine learning and deep learning classifiers for network intrusion detection system(nids)	004 KHA Automatic text summarization using cobmbined extraction and compression technique	004 KHA Mitigation of the effects of the grey hole attack in manet using artificial technique	004 KHA Automatic sign language recognition for isl using deep learning	Next

Master of Technology, Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2022

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A comparative study of machine learning and deep learning classifiers for network intrusion detection system(nids)

By: Keerti

Browsing Central Library shelves, Shelving location: On Display Close shelf browser