Machine learning approach to network intrusion detection
Umer Ashraf (35648)
Machine learning approach to network intrusion detection - Islamabad (unpublished) 2025 - xiv, 41+iii p. : ill. ; 30 cm. +CD
A dissertation submitted in the partial fulfillment of the requirements for the degree of Master of Philosophy in the field of Electrical Engineering to Faculty of Engineering and Applied Sciences. Includes bibliographical references Thesis supervisor: Dr. Saqib Amin
Thesis (MS)--Riphah International University, 2025
English
Electrical Engineering--logistic regression--Rondom forest--Discriminant--Prevention--FEAS
621.31 / UME
Machine learning approach to network intrusion detection - Islamabad (unpublished) 2025 - xiv, 41+iii p. : ill. ; 30 cm. +CD
A dissertation submitted in the partial fulfillment of the requirements for the degree of Master of Philosophy in the field of Electrical Engineering to Faculty of Engineering and Applied Sciences. Includes bibliographical references Thesis supervisor: Dr. Saqib Amin
Thesis (MS)--Riphah International University, 2025
English
Electrical Engineering--logistic regression--Rondom forest--Discriminant--Prevention--FEAS
621.31 / UME