Malicious traffic detection system based on deep learning for lot environment
- Islamabad (unpublished) 2023
- xvii, 111+20 p. : ill. Col. ; 30 cm. +CD
Submitted in the fulfillment of the requirements of Master of Science in Data Science to the Faculty of Computing. Thesis supervisor: Dr. Adeel Zafar Includes bibliographical references.
Thesis--Riphah International University, 2023
English
Cyber security Data science--Intrusion detection system --Machine learning--Deep learning --Neural network--RISE