Reinforced transformer learning for VSI-DDoS detection in edge clouds
Edge-driven software applications often deployed as online services in the cloud-to-edge continuum lack significant protection for services and infrastructures against emerging cyberattacks. Very-Short Intermittent Distributed Denial of Service (VSI-DDoS) attack is one of the biggest factors for dim...
Main Authors: | Bhutto, Adil Bin, Vu, Xuan Son, Elmroth, Erik, Tay, Wee Peng, Bhuyan, Monowar |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/164993 |
Similar Items
-
Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds
by: Adil Bin Bhutto, et al.
Published: (2022-01-01) -
Data management, communication systems and the edge: Challenges for the future of transportation
by: Ahmed Ali-Eldin, et al.
Published: (2021-12-01) -
CPSS LR-DDoS Detection and Defense in Edge Computing Utilizing DCNN Q-Learning
by: Zengguang Liu, et al.
Published: (2020-01-01) -
Edge detection from point cloud of worn parts
by: Nguyen, Keith Wei Liang, et al.
Published: (2018) -
An integrated SDN framework for early detection of DDoS attacks in cloud computing
by: Asha Varma Songa, et al.
Published: (2024-03-01)