Regularized Hybrid Deep Learning for DDoS Attack Prediction in Software Defined Internet of Things (SD-IoT)

J Deepthy, N Radhika, A Denny - 2024 Third International …, 2024 - ieeexplore.ieee.org
The availability of online resource is seriously threatened by the fatal DDoS (Distributed
Denial of Service) attacks, which can earnestly break up a targeted network or website by …

Deep Learning based DDoS Attack Detection in Internet of Things: An Optimized CNN-BiLSTM Architecture with Transfer Learning and Regularization Techniques

I Jebril, M Premkumar… - Infocommunications …, 2024 - real.mtak.hu
In recent days, with the rapid advancement of technology in informatics systems, the Internet
of Things (IoT) becomes crucial in many aspects of daily life. IoT applications have gained …

The prediction of DDoS attack by machine learning

Z Liu, L Qian, S Tang - Third international conference on …, 2022 - spiedigitallibrary.org
Distributed Denial of Service (DDoS) attacks are malicious cyber-attacks that overwhelm the
target server with traffic and cause the online service unavailable. With the wide-scale rollout …

[PDF][PDF] DDoS attack detection using deep learning

T Khempetch, P Wuttidittachotti - … International Journal of …, 2021 - pdfs.semanticscholar.org
Nowadays, IoT devices are widely used both in daily life and in corporate and industrial
environments. The use of these devices has increased dramatically and by 2030 it is …

Using Deep learning for network traffic prediction to secure Software networks against DDoS attacks

DT Sulaga, A Maag, I Seher… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Deep learning (DL) is an emerging technology that is being used in many areas due to its
effectiveness. One of its major applications is attack detection and prevention of backdoor …

DDoS Attacks Detection Using a Deep Neural Network Model

M Mittal, K Kumar, S Behal - International Advanced Computing …, 2022 - Springer
In today's world of globalization, with the exponential increase in the use of Internet-based
services, there is also an increase in network traffic and a huge risk of hacking and cyber …

[PDF][PDF] Real-Time DDoS Attack Detection System using Big Data Approach. Sustainability 2021, 131, 10743

MJ Awan, U Farooq, HMA Babar, A Yasin, H Nobanee… - 2021 - researchgate.net
Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …

Optimized Edge-cCCN Based Model for the Detection of DDoS Attack in IoT Environment

BB Gupta, A Gaurav, KT Chui, V Arya - International Conference on Edge …, 2023 - Springer
In the context of the Internet of Things (IoT), safeguarding against Distributed Denial of
Service (DDoS) attacks is critical. This paper introduces an Optimized Edge-cCNN …

Deep Ensemble Learning with Pruning for DDoS Attack Detection in IoT Networks

MF Saiyed, I Al-Anbagi - IEEE Transactions on Machine …, 2024 - ieeexplore.ieee.org
The upsurge of Internet of Things (IoT) devices has increased their vulnerability to
Distributed Denial of Service (DDoS) attacks. DDoS attacks have evolved into complex multi …

Distributed denial of service attack detection for the Internet of Things using hybrid deep learning model

A Ahmim, F Maazouzi, M Ahmim, S Namane… - IEEE …, 2023 - ieeexplore.ieee.org
As a result of the widespread adoption of the Internet of Things, there are now hundreds of
millions of connected devices, increasing the likelihood that they may be vulnerable to …