Leveraging deep learning driven threat detection mechanism for evolving multi-class DDoS attacks in enterprise networks
Duaa Shoukat (27401)
Leveraging deep learning driven threat detection mechanism for evolving multi-class DDoS attacks in enterprise networks - Islamabad (unpublished) 2020 - x, 49 p. : ill. ; 30 cm. + CD
Submitted in fulfillment of the requirement for the degree of Master of Sciences in Information Security to the Faculty of Computing . Includes bibliographical references. Thesis supervisor: Syed Muhammad Sajjad
Thesis (M.S)--Riphah International University, 2020
English
Information security--GPU enabled DNNLSTM--Deep neural networks--Algorithm structure--LSTM structure--RISE
005.8 / DUA
Leveraging deep learning driven threat detection mechanism for evolving multi-class DDoS attacks in enterprise networks - Islamabad (unpublished) 2020 - x, 49 p. : ill. ; 30 cm. + CD
Submitted in fulfillment of the requirement for the degree of Master of Sciences in Information Security to the Faculty of Computing . Includes bibliographical references. Thesis supervisor: Syed Muhammad Sajjad
Thesis (M.S)--Riphah International University, 2020
English
Information security--GPU enabled DNNLSTM--Deep neural networks--Algorithm structure--LSTM structure--RISE
005.8 / DUA