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 …

From Bytes to Insights: A Systematic Literature Review on Unraveling IDS Datasets for Enhanced Cybersecurity Understanding

A Khanan, YA Mohamed, AH Mohamed… - IEEE Access, 2024 - ieeexplore.ieee.org
In the wake of the expanding digital realm, the imperative for robust cybersecurity measures
has burgeoned significantly. This extensive investigation digs into the complicated realm of …

[HTML][HTML] A lightweight mitigation approach against a new inundation attack in RPL-based IoT networks

M Rouissat, M Belkheir, IS Alsukayti, A Mokaddem - Applied Sciences, 2023 - mdpi.com
Internet of Things (IoT) networks are being widely deployed for a broad range of critical
applications. Without effective security support, such a trend would open the doors to …

Detection of DoS Attacks for IoT in Information-Centric Networks Using Machine Learning: Opportunities, Challenges, and Future Research Directions

R Bukhowah, A Aljughaiman, MMH Rahman - Electronics, 2024 - mdpi.com
The Internet of Things (IoT) is a rapidly growing network that shares information over the
Internet via interconnected devices. In addition, this network has led to new security …

[HTML][HTML] Distributed Denial of Service Classification for Software-Defined Networking Using Grammatical Evolution

ED Spyrou, I Tsoulos, C Stylios - Future Internet, 2023 - mdpi.com
Software-Defined Networking (SDN) stands as a pivotal paradigm in network
implementation, exerting a profound influence on the trajectory of technological …

[HTML][HTML] Enhancing DDoS attack detection with hybrid feature selection and ensemble-based classifier: A promising solution for robust cybersecurity

MA Hossain, MS Islam - Measurement: Sensors, 2024 - Elsevier
Distributed denial-of-service (DDoS) attacks pose a significant threat to computer networks
and systems by disrupting services through the saturation of targeted systems with traffic …

Defending Against App-Layer DDoS: Advanced Machine Learning Security

S Salmi, L Oughdir, A El Affar - 2024 4th International …, 2024 - ieeexplore.ieee.org
Distributed denial-of-service attacks in the application layer (DDoS) pose a significant threat
to online services, leading to significant financial losses and reputational damage. This …

A distributed framework for distributed denial-of-service attack detection in internet of things environments using deep learning

WA Silas, L Nderu, D Ndirangu - International Journal of …, 2024 - inderscienceonline.com
Internet of things (IoT) networks dominate industries, homes, organisations, and other
aspects of life owing to their automation capabilities. However, IoT networks are vulnerable …

Survey on evolving threats in TCP/IP header attacks: Emerging trends and future directions

W Owoko - World Journal of Advanced Engineering Technology …, 2024 - wjaets.com
The TCP/IP protocol suite, a cornerstone of modern networking, faces escalating threats
from evolving attack vectors targeting its headers. This survey explores emerging trends in …

Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach

F Uccello, M Pawlicki, S D'Antonio, R Kozik… - … Conference on Applied …, 2023 - Springer
In today's interconnected digital landscape, Security Information and Event Management
(SIEM) systems play a vital role as the frontline defense against cyber threats, providing …