A Review Of Anomaly Detection Techniques And Distributed Denial Of Service (Ddos) On Software Defined Network (Sdn)
Autor: | N. M. Abdul Latiff, M. K. Hassan, Mutaz Hamed Hussien Khairi, Sharifah H. S. Ariffin, Ahmad Shahidan Abdullah |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Network architecture
lcsh:T58.5-58.64 business.industry Computer science lcsh:Information technology 020206 networking & telecommunications 020207 software engineering Denial-of-service attack 02 engineering and technology User requirements document anomaly detection Network management Intelligent Network Control theory lcsh:TA1-2040 lcsh:Technology (General) 0202 electrical engineering electronic engineering information engineering software defined networking lcsh:T1-995 distributed denial of service Anomaly detection business Software-defined networking lcsh:Engineering (General). Civil engineering (General) Computer network |
Zdroj: | Engineering, Technology & Applied Science Research, Vol 8, Iss 2 (2018) ResearcherID |
DOI: | 10.5281/zenodo.1257571 |
Popis: | Software defined network (SDN) is a network architecture in which the network traffic may be operated and managed dynamically according to user requirements and demands. Issue of security is one of the big challenges of SDN because different attacks may affect performance and these attacks can be classified into different types. One of the famous attacks is distributed denial of service (DDoS). SDN is a new networking approach that is introduced with the goal to simplify the network management by separating the data and control planes. However, the separation leads to the emergence of new types of distributed denial-of-service (DDOS) attacks on SDN networks. The centralized role of the controller in SDN makes it a perfect target for the attackers. Such attacks can easily bring down the entire network by bringing down the controller. This research explains DDoS attacks and the anomaly detection as one of the famous detection techniques for intelligent networks. |
Databáze: | OpenAIRE |
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