A lightweight multi-vector DDoS detection framework for IoT-enabled mobile health informatics systems using deep learning
AD Aguru, SB Erukala - Information Sciences, 2024 - Elsevier
The exponential growth in adopting Internet of Things (IoT) applications and services has
rendered IoT security an essential concern that must be handled promptly. Multi-vector …
rendered IoT security an essential concern that must be handled promptly. Multi-vector …
Detection of HTTP DDoS Attacks Using NFStream and TensorFlow
M Chovanec, M Hasin, M Havrilla, E Chovancová - Applied Sciences, 2023 - mdpi.com
This paper focuses on the implementation of nfstream, an open source network data
analysis tool and machine learning model using the TensorFlow library for HTTP attack …
analysis tool and machine learning model using the TensorFlow library for HTTP attack …
An efficient DDoS detection method based on packet grouping via online data flow processing
M He, X Zhao, X Wang - IEEE Transactions on Sustainable …, 2024 - ieeexplore.ieee.org
Distributed Denial of Service attacks are considered to be one of the most common and
effective threats in the security field, aiming to deny or weaken the service providing of its …
effective threats in the security field, aiming to deny or weaken the service providing of its …
Unknown attack detection based on multistage one-class SVM
A Alkhamaiseh, M Alkasassbeh… - … on Emerging Trends in …, 2022 - ieeexplore.ieee.org
The well-known datasets lack updating new types of attacks to enhance the detection of
such sophisticated attacks. The research also presents the first application of a realistic …
such sophisticated attacks. The research also presents the first application of a realistic …
ZeekFlow: Deep Learning-Based Network Intrusion Detection a Multimodal Approach
D Giagkos, O Kompougias, A Litke… - European Symposium on …, 2023 - Springer
The ever-increasing network traffic generated by numerous interconnected devices inside
the modern digital world paves the way for a plethora of attack surfaces that could be …
the modern digital world paves the way for a plethora of attack surfaces that could be …
Deep Learning Model-Based Approach for DDoS Detection and Classification
M Hari Krishna, C Bhavitha, A Siva… - … Conference on Recent …, 2023 - Springer
The prevalence of cyber vulnerabilities in our interconnected world has led to a constant
barrage of attacks targeting individuals and organizations. Among these assaults, DDoS …
barrage of attacks targeting individuals and organizations. Among these assaults, DDoS …
Deep Learning Model-Based Approach for DDoS Detection and Classification Check for updates
MH Krishna, C Bhavitha, A Siva, KS Srinivas… - … Conference on Recent … - books.google.com
The prevalence of cyber vulnerabilities in our interconnected world has led to a constant
barrage of attacks targeting individuals and organizations. Among these assaults, DDoS …
barrage of attacks targeting individuals and organizations. Among these assaults, DDoS …
[PDF][PDF] Review of Deep Learning Architecture for Detection and Mitigation of Distributed Denial of Service Attacks
AS Mukhtar, A Tukur, A Muhammad - researchgate.net
With the emergence of the Corona Virus Disease code named (COVID19), it has
necessitated many businesses, and institutions to move their operations and activities to the …
necessitated many businesses, and institutions to move their operations and activities to the …