Implemented IDS Version of Advanced Artificial Neural Networks (ANN) using Layered Method?

Security is a big issue for all networks in today’s enterprise environment. Hackers and intruders have made many successful attempts to bring down high-profile company networks and web services. Many methods have been developed to secure the network infrastructure and communication over the internet; among them are the use of firewalls, encryption, and virtual private networks. Intrusion detection is a relatively new addition to such techniques. Using intrusion detection method we can find the intrusion signature in a network and must perform efficiently to manage with the large amount of network traffic. Existing system are label these two issues of correctness and efficiency using Conditional Random Fields with Layered Approach. We show that high attack detection correctness can be achieved by using Conditional Random Fields and high efficiency by implementing the Layered Approach. In this review paper, we are modifying existing system and newly use modified ANN algorithm to improve the efficiency and correctness to detect intrusion than previous one.