Enhancing intrusion detection in wireless sensor networks using a GSWO-CatBoost approach

TM Nguyen, HHP Vo, M Yoo - Sensors, 2024 - mdpi.com
Intrusion detection systems (IDSs) in wireless sensor networks (WSNs) rely heavily on
effective feature selection (FS) for enhanced efficacy. This study proposes a novel approach …

[HTML][HTML] Navigating AI cybersecurity: evolving landscape and challenges

M Roshanaei, MR Khan, NN Sylvester - Journal of Intelligent Learning …, 2024 - scirp.org
The rapid integration of artificial intelligence (AI) into critical sectors has revealed a complex
landscape of cybersecurity challenges that are unique to these advanced technologies. AI …

A Comparative Analysis of Supervised Machine Learning Algorithms for IoT Attack Detection and Classification

JP Ntayagabiri, Y Bentaleb… - Journal of …, 2025 - dl.futuretechsci.org
The proliferation of Internet of Things (IoT) devices has introduced significant security
challenges, necessitating robust attack detection mechanisms. This study presents a …

[PDF][PDF] Navigating the Complexities of Controller Placement in SD-WANs: A Multi-Objective Perspective on Current Trends and Future Challenges.

AM Abdulghani, A Abdullah, AR Rahiman… - … Systems Science & …, 2025 - researchgate.net
This review article provides a comprehensive analysis of the latest advancements and
persistent challenges in Software-Defined Wide Area Networks (SD-WANs), with a particular …

Comprehensive Analysis of DDoS Anomaly Detection in Software-Defined Networks

A Hirsi, MA Alhartomi, L Audah, A Salh… - IEEE …, 2025 - ieeexplore.ieee.org
Software-Defined Networking (SDN) offers significant advantages for modern networks,
including flexibility, centralized control, and reduced dependency on vendor-specific …

Optimizing 5G network performance with dynamic resource allocation, robust encryption and Quality of Service (QoS) enhancement

AM Alashjaee, S Kushwaha, H Alamro… - PeerJ Computer …, 2024 - peerj.com
Abstract The International Telecommunication Union (ITU) predicts a substantial and swift
increase in global mobile data traffic. The predictions suggest that this growth will vary from …

Ddos anomaly detection in software-defined networks: An evaluation of machine learning techniques for traffic classification and prediction

A Hirsi, L Audah, A Salh, NM Sahar… - … for Smart Society …, 2024 - ieeexplore.ieee.org
Software-Defined Networking (SDN) offers flexibility, but introduces security challenges,
particularly in detecting Distributed Denial of Service (DDoS) attacks. This study enhances …

[HTML][HTML] A privacy-preserving and energy efficient authentication protocol for the cloud-based e-healthcare system

A Alzahrani, HA Alzahrani - Alexandria Engineering Journal, 2025 - Elsevier
The transmission of patient-sensitive information to the cloud server has significantly
revolutionized conventional/traditional healthcare systems. As in the traditional healthcare …

Design and simulation of a secured enterprise network architecture for all departments at east africa university (eau), somalia

AH Abdi, L Audah, AM Omar… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Computer network technology can support educational institutions in exchanging,
managing, and delivering digital data over network nodes. Educational institutions play an …

An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things

M Babar, MU Tariq, Z Ullah, F Arif, Z Khan… - IEEE …, 2025 - ieeexplore.ieee.org
The development of wireless communication technology has led to an exponential growth in
the Healthcare Internet of Things (H-IoT). Sensors and actuators are used in smart medical …