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Enhancing intrusion detection in wireless sensor networks using a GSWO-CatBoost approach
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 …
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 …
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 …
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.
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 …
persistent challenges in Software-Defined Wide Area Networks (SD-WANs), with a particular …
Comprehensive Analysis of DDoS Anomaly Detection in Software-Defined Networks
Software-Defined Networking (SDN) offers significant advantages for modern networks,
including flexibility, centralized control, and reduced dependency on vendor-specific …
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
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 …
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
Software-Defined Networking (SDN) offers flexibility, but introduces security challenges,
particularly in detecting Distributed Denial of Service (DDoS) attacks. This study enhances …
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
The transmission of patient-sensitive information to the cloud server has significantly
revolutionized conventional/traditional healthcare systems. As in the traditional healthcare …
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
Computer network technology can support educational institutions in exchanging,
managing, and delivering digital data over network nodes. Educational institutions play an …
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
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 …
the Healthcare Internet of Things (H-IoT). Sensors and actuators are used in smart medical …