[HTML][HTML] 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 …
[HTML][HTML] Synergy of blockchain technology and data mining techniques for anomaly detection
Blockchain and Data Mining are not simply buzzwords, but rather concepts that are playing
an important role in the modern Information Technology (IT) revolution. Blockchain has …
an important role in the modern Information Technology (IT) revolution. Blockchain has …
A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
NM Yungaicela-Naula, C Vargas-Rosales… - Journal of network and …, 2022 - Elsevier
Abstract Distributed Denial-of-Service (DDoS) attacks are difficult to mitigate with existing
defense tools. Fortunately, it has been demonstrated that Software-Defined Networking …
defense tools. Fortunately, it has been demonstrated that Software-Defined Networking …
[HTML][HTML] DDoS: Distributed denial of service attack in communication standard vulnerabilities in smart grid applications and cyber security with recent developments
Smart grid system is evident with control technologies and digital communications systems.
The cyber–physical system is a critical infrastructure connected with complex drives and …
The cyber–physical system is a critical infrastructure connected with complex drives and …
A machine learning based detection and mitigation of the DDOS attack by using SDN controller framework
Recently, SDN has arisen as a new network platform that offers unparalleled programming
that enables network operators to dynamically customize and control their networks. The …
that enables network operators to dynamically customize and control their networks. The …
[HTML][HTML] Review of botnet attack detection in SDN-enabled IoT Using machine learning
The orchestration of software-defined networks (SDN) and the internet of things (IoT) has
revolutionized the computing fields. These include the broad spectrum of connectivity to …
revolutionized the computing fields. These include the broad spectrum of connectivity to …
[HTML][HTML] Multi-Cloud integration security framework using honeypots
This rapidly changing digital world is always sensitive to improving security and resilience to
protect the inhabitants of this ecosystem in terms of data, processes, repositories …
protect the inhabitants of this ecosystem in terms of data, processes, repositories …
Machine learning assisted snort and zeek in detecting DDoS attacks in software-defined networking
A new network architecture called the Software-Defined Network (SDN) gives next-
generation networks a more flexible and efficiently controlled network architecture. Using the …
generation networks a more flexible and efficiently controlled network architecture. Using the …
Ddos attack detection approaches in on software defined network
Software Defined Networking (SDN) is a new network paradigm to address the limitations of
vertically integrated conventional networks in context of scalability, Quality of Service …
vertically integrated conventional networks in context of scalability, Quality of Service …
Stacking ensemble approach for DDoS attack detection in software-defined cyber–physical systems
Abstract Distributed Denial of Service (DDoS) attacks are common and increasing in
frequency. It renders the service inaccessible to legitimate users and degrades network …
frequency. It renders the service inaccessible to legitimate users and degrades network …