A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services

S Kumar, M Dwivedi, M Kumar, SS Gill - Computer Science Review, 2024 - Elsevier
The advent of cloud computing has made a global impact by providing on-demand services,
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …

[HTML][HTML] Advancements in detecting, preventing, and mitigating DDoS attacks in cloud environments: A comprehensive systematic review of state-of-the-art …

M Ouhssini, K Afdel, M Akouhar, E Agherrabi… - Egyptian Informatics …, 2024 - Elsevier
This comprehensive study examines cutting-edge strategies for combating Distributed
Denial of Service (DDoS) attacks in cloud environments, addressing a critical gap in recent …

DDoS attack prediction using a honey badger optimization algorithm based feature selection and Bi-LSTM in cloud environment

O Pandithurai, C Venkataiah, S Tiwari… - Expert Systems with …, 2024 - Elsevier
Users are provided access to on-demand services through the Internet with the assist of
cloud computing. Services can be accessed at any time and from any place. Although …

A deep learning approach for intrusion detection systems in cloud computing environments

WH Aljuaid, SS Alshamrani - Applied Sciences, 2024 - mdpi.com
Cloud computing services have become indispensable to people's lives. Many of their
activities are performed through cloud services, from small companies to large enterprises …

Detection of distributed denial of service attack using enhanced adaptive deep dilated ensemble with hybrid meta‐heuristic approach

AAS Aliar, V Gowri, AA Abins - Transactions on Emerging …, 2024 - Wiley Online Library
The biggest firms throughout the world now are the ones that offer services in the cloud. One
of the top problems for cloud users (CUs) and cloud service providers (CSPs) is the …

[HTML][HTML] DeepDefend: A comprehensive framework for DDoS attack detection and prevention in cloud computing

M Ouhssini, K Afdel, E Agherrabi, M Akouhar… - Journal of King Saud …, 2024 - Elsevier
DeepDefend is an advanced framework for real-time detection and prevention of DDoS
attacks in cloud environments. It employs deep learning techniques, notably CNN-LSTM …

Detecting DDoS based on attention mechanism for Software-Defined Networks

N Yoon, H Kim - Journal of Network and Computer Applications, 2024 - Elsevier
In this paper, we propose a deep learning model based on a novel Divide and Conquer
Attention (DCA) mechanism, for efficient detection of Distributed Denial of Service (DDoS) …

Classification Tendency Difference Index Model for Feature Selection and Extraction in Wireless Intrusion Detection

CH Tseng, WJ Tsaur, YM Shen - Future Internet, 2024 - mdpi.com
In detecting large-scale attacks, deep neural networks (DNNs) are an effective approach
based on high-quality training data samples. Feature selection and feature extraction are the …

An automated detection of DDoS attack in cloud using optimized weighted fused features and hybrid DBN-GRU architecture

AA Samsu Aliar, M Agoramoorthy - Cybernetics and Systems, 2024 - Taylor & Francis
Abstract Distributed Denial of Service (DDoS) attack is a severe type of attack. It affects the
cloud in terms of loss of repudiation, service outage, financial loss, and data loss. Hence, the …

DDoS detection in electric vehicle charging stations: A deep learning perspective via CICEV2023 dataset

YA Anli, Z Ciplak, M Sakaliuzun, SZ Izgu, K Yildiz - Internet of Things, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks have always been an important
research topic in the field of information security. Regarding specialized infrastructures such …