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 comprehensive survey on DDoS defense systems: New trends and challenges
In the past ten years, the source of DDoS has migrated to botnets composed of IoT devices.
The scale of DDoS attacks increases dramatically with the number of IoT devices. New …
The scale of DDoS attacks increases dramatically with the number of IoT devices. New …
A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
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 …
Quick service during DDoS attacks in the container-based cloud environment
Abstract Distributed Denial of Service (DDoS) attacks are one of the biggest internet security
risks. As DDoS attacks directly target the availability of the victim's services, defending …
risks. As DDoS attacks directly target the availability of the victim's services, defending …
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 …
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 …
Detecting and mitigating DDoS attacks with moving target defense approach based on automated flow classification in SDN networks
Abstract The Distributed Denial of Service (DDoS) coordinates synchronized attacks on
systems on the Internet using a set of infected hosts (bots). Bots are programmed to attack a …
systems on the Internet using a set of infected hosts (bots). Bots are programmed to attack a …
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 …
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 …