Performance analysis of intrusion detection systems using the PyCaret machine learning library on the UNSW-NB15 dataset
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Príomhchruthaitheoirí: | Abdullah, Iqbal, Faisal Bin, Biswas, Srijon, Urba, Rubabatul |
---|---|
Rannpháirtithe: | Chakrabarty, Amitabha |
Formáid: | Tráchtas |
Teanga: | English |
Foilsithe / Cruthaithe: |
Brac University
2021
|
Ábhair: | |
Rochtain ar líne: | http://hdl.handle.net/10361/15701 |
Míreanna comhchosúla
-
Anomaly detection In IoT using machine learning algorithms
de réir: Arko, Aritro Roy, et al.
Foilsithe / Cruthaithe: (2019) -
Automated intruder detection from image sequences using minimum volume sets
de réir: Ahmed, Tarem, et al.
Foilsithe / Cruthaithe: (2016) -
Learning algorithms for anomaly detection from images
de réir: Ahmed, Tarem, et al.
Foilsithe / Cruthaithe: (2018) -
Multi images retrieved for automatic intruder detection using kernel-based learning algorithm
de réir: Shahrear, S.M Fardin, et al.
Foilsithe / Cruthaithe: (2016) -
ML based performance assurance and VoC management of highly convergence mobile operator network.
de réir: Rahman, Md. Arifur
Foilsithe / Cruthaithe: (2024)