Ensemble classification using traffic flow metrics to predict distributed denial of service scope in the Internet of Things (IoT) networks

K Rambabu, N Venkatram - Computers & Electrical Engineering, 2021 - Elsevier
The IoT networks are highly vulnerable to distributed denial of service, which is the most
serious and intolerable attack format. The competent solutions to handle DDOS attacks on …

Hybrid of Supervised Learning and Optimization Algorithm for Optimal Detection of IoT Distributed Denial of Service Attacks

T Farid, M Sirat - International Journal of Innovative Computing, 2023 - ijic.utm.my
The high-speed internet has led to the development of Internet of Things (IoT) with a
fundamental Three-Layer IoT architecture. However, small amount of un-indicative data …

[HTML][HTML] Enhancing DDoS attack detection in IoT using PCA

SK Dash, S Dash, S Mahapatra, SN Mohanty… - Egyptian Informatics …, 2024 - Elsevier
Abstract Internet of Things (IoT) security and reliability rely on the capacity to identify
distributed denial-of-service (DDoS) assaults in IoT networks. This research presents a …

Machine learning-based dynamic attribute selection technique for ddos attack classification in iot networks

S Ullah, Z Mahmood, N Ali, T Ahmad, A Buriro - Computers, 2023 - mdpi.com
The exponential growth of the Internet of Things (IoT) has led to the rapid expansion of
interconnected systems, which has also increased the vulnerability of IoT devices to security …

Distributed Ensemble Method Using Deep Learning to Detect DDoS Attacks in IoT Networks

P Shukla, CR Krishna, NV Patil - Arabian Journal for Science and …, 2024 - Springer
The widespread adoption of Internet of Things (IoT) devices has increased exponentially in
recent years. Consequently, the security risks and vulnerabilities related to these unsecured …

EIoT-DDoS: embedded classification approach for IoT traffic-based DDoS attacks

P Shukla, CR Krishna, NV Patil - Cluster Computing, 2024 - Springer
Abstract The Internet of Things (IoT) has shown incredible adaptability in recent years and
has become an integral part of human life. The proliferation of IoT technology has made IoT …

Classification of IoT based DDoS Attack using Machine Learning Techniques

MF Ashfaq, M Malik, U Fatima… - 2022 16th International …, 2022 - ieeexplore.ieee.org
Recently,(IoT) the internet of things and other internet-connected devices have witnessed
mushroom growth. This has resulted in an infinite and continuous growth of ever-increasing …

Hybrid feature selection for efficient detection of DDoS attacks in IoT

L Hong, K Wehbi, TH Alsalah - Proceedings of the 2022 6th International …, 2022 - dl.acm.org
The increasing Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT) is
leading to the need for an efficient detection approach. Although much research has been …

AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges

B Bala, S Behal - Computer science review, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks in IoT networks are one of the most
devastating and challenging cyber-attacks. The number of IoT users is growing …

Mitigate volumetric DDoS attack using machine learning algorithm in SDN based IoT network environment

J Kumar, ALR PJ - International Journal of Advanced …, 2023 - search.proquest.com
Abstract Software-Defined Networking (SDN) is a recent trend that is combined with Internet
of Things (IoT) in wireless network applications. SDN focus entirely on the upper-level …