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The DDoS attacks detection through machine learning and statistical methods in SDN
The distributed denial-of-service (DDoS) attack is a security challenge for the software-
defined network (SDN). The different limitations of the existing DDoS detection methods …
defined network (SDN). The different limitations of the existing DDoS detection methods …
Automated flow-based rule generation for network intrusion detection systems
Snort is a popular open-source Intrusion Detection System (IDS). Since rules are updated
offline and network environment changes dynamically, Snort has a low detection rate …
offline and network environment changes dynamically, Snort has a low detection rate …
SDN enabled DDoS attack detection and mitigation for 5G networks
This paper proposes a hybrid technique for distributed denial-of-service (DDoS) attack
detection that combines statistical analysis and machine learning, with software defined …
detection that combines statistical analysis and machine learning, with software defined …
A Hybrid Mechanism to Detect DDoS Attacks in Software Defined Networks
DDoS (Distributed Denial-of-Service) attacks are among the cyberattacks that are increasing
day by day and have caused problems for computer network servers. With the advent of …
day by day and have caused problems for computer network servers. With the advent of …
A New DDoS Detection Method in Software Defined Network
MR Soltanaghaei - 2020 - researchsquare.com
Abstract Software Defined Networking (SDN) is a new network architecture in which network
control is separated from direct traffic and is programmed directly. Any change in network …
control is separated from direct traffic and is programmed directly. Any change in network …
Neuromorphic computing applications for network intrusion detection systems
RC Garcia, RE Pino - Machine Intelligence and Bio-inspired …, 2014 - spiedigitallibrary.org
What is presented here is a sequence of evolving concepts for network intrusion detection.
These concepts start with neuromorphic structures for XOR-based signature matching and …
These concepts start with neuromorphic structures for XOR-based signature matching and …
[PDF][PDF] Flow-Based Rules Generation for Intrusion Detection System using Machine Learning Approach
Rapid increase in internet users also brought new ways of privacy and security exploitation.
Intrusion is one of such attacks in which an authorized user can access system resources …
Intrusion is one of such attacks in which an authorized user can access system resources …