Ensemble of classifiers for detection of advanced persistent threat
The demand for application of technology in almost all walks of life is in the increase and can be seen to be geared by the paradigm changes in industrial revolutions (current 4.0), IoT/IoE (Internet of Things/Internet of Everything) concept, Internet 2.0, Artificial Intelligence (AI), BYOD (Bring Y...
Saved in:
Main Author: | Chizoba, Okwara Jerry |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/96365/1/OkwaraJerryChizobaMSC2019.pdf.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rule-Based Approach For Detecting Advanced Persistent Threat Using Behavioral Features Of Credential Dumping Technique
by: Ali Mohamed, Nachaat Abdelatif
Published: (2022) -
Ensemble methods in intrusion detection
by: Josiah, Kekere Temitope
Published: (2015) -
New descriptor for object detection using an improved ensemble-based technique
by: Ahsan, Amin Mohamed
Published: (2015) -
An ensemble-based anomaly-behavioural crypto-ransomware pre-encryption detection model
by: Al-Rimy, Bander Ali Saleh
Published: (2019) -
Leveraging Ensemble Strategies in Identity Verification and Feature Optimisation for Phishing Website Detection
by: Tan, Colin Choon Lin
Published: (2021)