Optimized extreme learning machine for detecting DDoS attacks in cloud computing

GS Kushwah, V Ranga - Computers & Security, 2021 - Elsevier
Distributed denial of service (DDoS) attack is a serious security threat to cloud computing
that affects the availability of cloud services. Therefore, defending against these attacks …

Voting extreme learning machine based distributed denial of service attack detection in cloud computing

GS Kushwah, V Ranga - Journal of Information Security and Applications, 2020 - Elsevier
Distributed denial of service attack is one of the most dangerous attacks in cloud computing.
This attack makes the cloud services inaccessible to the end-users by exhausting resources …

SDMTA: Attack detection and mitigation mechanism for DDoS vulnerabilities in hybrid cloud environment

S Kautish, A Reyana, A Vidyarthi - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In a distributed cloud context, distributed denial of service (DDoS) attacks are widespread.
The services are rendered unavailable to legitimate users as a result of the overwhelming …

On improving the performance of DDoS attack detection system

RK Batchu, H Seetha - Microprocessors and Microsystems, 2022 - Elsevier
Abstract A DDoS (Distributed Denial of Service) attack is a harmful way of preventing regular
access to a targeted machine, resources, or any network by flooding the target or its …

Detecting DDoS attacks in cloud computing using extreme learning machine and adaptive differential evolution

GS Kushwah, V Ranga - Wireless Personal Communications, 2022 - Springer
Distributed denial of service (DDoS) attacks disrupt the availability of cloud services. The
detection of these attacks is a major challenge in the cloud computing environment. Machine …

Distributed denial of service attack detection in cloud computing using hybridextreme learning machine

GS Kushwah, V Ranga - Turkish Journal of Electrical …, 2021 - journals.tubitak.gov.tr
One of the major security challenges in cloud computing is distributed denial of service
(DDoS) attacks. In these attacks, multiple nodes are used to attack the cloud by sending …

Distributed denial of service attack detection using machine learning and class oversampling

SS Shafin, SA Prottoy, S Abbas, SB Hakim… - Applied Intelligence and …, 2021 - Springer
Abstract Distributed Denial of Services (DDoS) attack, one of the most dangerous types of
cyber attack, has been reported to increase during the COVID-19 pandemic. Machine …

An AI Based IDS Framework For Detecting DDoS Attacks In Cloud Environment

S Asha Varma, K Ganesh Reddy - Information Security Journal: A …, 2023 - Taylor & Francis
Cloud computing makes it easier for users to access resources from anywhere at any time.
This is for as long as they have access to the internet connectivity by employing a “pay-as …

[PDF][PDF] DDoS Attack Detection using Back Propagation Neural Network Optimized by Bacterial Colony Optimization.

M Arunadevi, V Sathya - International Journal of Intelligent Engineering & …, 2023 - inass.org
The on-demand provision of computing resources as services over the internet is known as
cloud computing. The distributed denial of service (DDoS) attack is a major security risk that …

ELM‐Assisted Particle Filter for INS/UWB‐Integrated Quadrotor Positioning

S Bi, F Li, L Wang, Y Xu, J Feng - Mathematical Problems in …, 2022 - Wiley Online Library
At present, with the wide application of the quadrotor, accurate positioning has become an
increasingly important problem and needs to be considered. In this study, the inertial …