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Networked Systems Lab.

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Amaizu Gabriel Portfolio
By : Gabriel
Date : 2021-06-25
Views : 259

Journals
[1] Composite and Efficient DDoS Attack Detection Framework for B5G Networks
[2] Cost-Efficient DDoS Attack Detection: A Hybrid Filter-based Parameter Selection Approach
[3] Hybrid Deep Neural Network for Malicious DNS Infiltration Detection System
[4] SDNAD: A Software Defined Network Anomaly Detection Model using an Improved Deep Neural Network

Conferences
[1] Two-Stage Classification Technique for Malicious DNS Identification
[2] Investigating Network Intrusion Detection Datasets Using Machine Learning
[3] Energy-aware Routing Scheme for Large-scale Industrial Internet of Things (IIoT)
[4] Hybrid Deep Neural Network for Malicious DNS Infiltration Detection System
[5] Towards Detection of DDoS Attacks for Next-Gen Industrial Internet of Things
[6] Evaluation of WiMAX using OPNET Mobile and Satellite Subnets for IWNS

Thesis

Synthesized Deep Learning Model for Cost-efficient Distributed Denial of Service Attack Detection in Industrial Internet of Things
Attachments
Attachment 1:   ÷ Gabriel.zip(12.6MB)