DDoS Hazard and Precautionary Measures in Software Define Network

Abstract

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Software Defined Network is an emerging technology which is flourishing due to its diversity and by virtue of the fact that there are decoupled planes in this architecture which have some benefits as well as drawbacks, such as the execution of cyber attacks are easy at northbound and southbound interfaces and DDoS attack can easily be manipulated in this architecture. It has been identified that DDoS attack can be countered at northbound API so that appropriate decision about illegitimate traffic can be taken. Java has provided us with a very reliable support for three decades. Hence, all controls are governed by programming interfaces in this architecture with the help of this feature and according to the entropy of information which allows us to track the traffic and compare it with the threshold to identify the malware in the network. Floodlight controller is used in this paper to accommodate the illegitimate traffic. This paper allows the programmers to program such applications in Python or Java based on the basic mechanism of entropy which uses a threshold value from which DDoS attack can be countered, as we are well aware that a large number of systems are involved in producing illegitimate traffic on a network which creates distraction for the legitimate traffic.