Analysis of Pattern Recognition Techniques for Detecting Traffic Anomalies
Network traffic anomalies stand for a large number of the internet traffic and highly affect the performance of the network resources. Detecting these threats is a time consuming task and is laborious that network operators face daily. In spite of the advantages of these methods, researchers have reported several common drawbacks that affect their use in practice. The generation of packet header, IP addresses as well as the communication between client and the server were achieved through simulation. A server and a client were designed in Java programming language using server and socket classes.
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