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[PDF][PDF] The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review
People in the modern era spend most of their lives in virtual environments that offer a range
of public and private services and social platforms. Therefore, these environments need to …
of public and private services and social platforms. Therefore, these environments need to …
In-network machine learning using programmable network devices: A survey
Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …
classification and anomaly detection to network configuration. However, machine learning …
DDoS attacks detection using machine learning and deep learning techniques: analysis and comparison
MA Al-Shareeda, S Manickam… - Bulletin of Electrical …, 2023 - journal.beei.org
The security of the internet is seriously threatened by a distributed denial of service (DDoS)
attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users …
attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users …
Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks
Abstract Software Defined Networking (SDN) has become popular due to its flexibility and
agility in network management, enabling rapid adaptation to changing business …
agility in network management, enabling rapid adaptation to changing business …
A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking
Software-defined networking (SDN) is a revolutionary innovation in network technology with
many desirable features, including flexibility and manageability. Despite those advantages …
many desirable features, including flexibility and manageability. Despite those advantages …
A deep learning technique to detect distributed denial of service attacks in software-defined networks
Abstract Software-Defined Network (SDN) is an established networking paradigm that
separates the control plane from the data plane. It has central network control, and …
separates the control plane from the data plane. It has central network control, and …
Online banking user authentication methods: a systematic literature review
Online banking has become increasingly popular in recent years, making it a target for
cyberattacks. Banks have implemented various user authentication methods to protect their …
cyberattacks. Banks have implemented various user authentication methods to protect their …
Optimized artificial intelligence model for DDoS detection in SDN environment
Distributed denial of service (DDoS) attacks continue to be a major security concern,
threatening the availability and reliability of network services. Software-defined networking …
threatening the availability and reliability of network services. Software-defined networking …
[HTML][HTML] Enhancing DDoS attack detection with hybrid feature selection and ensemble-based classifier: A promising solution for robust cybersecurity
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 …
and systems by disrupting services through the saturation of targeted systems with traffic …
Marina: Realizing ml-driven real-time network traffic monitoring at terabit scale
Network operators require real-time traffic monitoring insights to provide high performance
and security to their customers. It has been shown that artificial intelligence and machine …
and security to their customers. It has been shown that artificial intelligence and machine …