Detecting DDoS attacks in software-defined networks through feature selection methods and machine learning models
Software Defined Networking (SDN) offers several advantages such as manageability,
scaling, and improved performance. However, SDN involves specific security problems …
scaling, and improved performance. However, SDN involves specific security problems …
Comprehensive review on distributed denial of service attacks in wireless sensor networks
S Subramani, M Selvi - International Journal of Information …, 2023 - inderscienceonline.com
Distributed denial of service (DDoS) is the most popular disruptive type of attack in wireless
sensor networks (WSNs). It is extremely harmful for the functioning of the network, since it …
sensor networks (WSNs). It is extremely harmful for the functioning of the network, since it …
Man-in-the-middle and denial of service attacks detection using machine learning algorithms
Network attacks (ie, man-in-the-middle (MTM) and denial of service (DoS) attacks) allow
several attackers to obtain and steal important data from physical connected devices in any …
several attackers to obtain and steal important data from physical connected devices in any …
Implementing Machine Learning Algorithms to Indentify Distributed Denial-of-Service Attacks
An Internet server, service, or network may be the subject of a distributed denial-of-service
(DDoS) assault, in which the attacker attempts to interrupt regular traffic by flooding the …
(DDoS) assault, in which the attacker attempts to interrupt regular traffic by flooding the …
[HTML][HTML] A novel dual optimized IDS to detect DDoS attack in SDN using hyper tuned RFE and deep grid network
CM Nalayini, J Katiravan, S Geetha, CE JI - Cyber Security and Applications, 2024 - Elsevier
Technological advancement is one of the factors contributing to a rise of susceptible
cyberattacks. Distributed denial of service (DDoS) attack reduces the efficiency of network …
cyberattacks. Distributed denial of service (DDoS) attack reduces the efficiency of network …
Detection and mitigation of DDoS attacks in SDN using Machine Learning (ML)
AK Tahirou, K Konate… - … Conference on Digital …, 2023 - ieeexplore.ieee.org
The Software Defined Network (SDN) is a new network paradigm that has been growing in
recent years because of its flexibility and ease in managing and operating computer …
recent years because of its flexibility and ease in managing and operating computer …
To detect the distributed denial-of-service attacks in SDN using machine learning algorithms
S Banerjee, PS Chakraborty - 2021 International Conference …, 2021 - ieeexplore.ieee.org
The reason for Software Defined Network (SDN) to gain importance in both the academics
and industry as a new emerging way of network management, is its architecture which …
and industry as a new emerging way of network management, is its architecture which …
[PDF][PDF] Cyber Security and Applications
CM Nalayini, J Katiravan, S Geetha, CE JI - researchgate.net
abstract Technological advancement is one of the factors contributing to a rise of susceptible
cyberattacks. Distributed denial of service (DDoS) attack reduces the efficiency of network …
cyberattacks. Distributed denial of service (DDoS) attack reduces the efficiency of network …
Preventing DDoS attacks in Software Defined Networks
GC Kesavulu - 2021 2nd International Conference on Range …, 2021 - ieeexplore.ieee.org
In this paper we discuss distributed denial of service attacks on software defined networks,
software defined networking is a network architecture approach that enables the network to …
software defined networking is a network architecture approach that enables the network to …