DEVELOPING A MULTI-LEVEL PROTECTION FRAMEWORK USING EDF

In the present and future, data will be the most important factor. This paper is entitled how secure and fast data moves in a network. Initially, the entire data would be clustered in the manner they sort. Clustered data will be encrypted using encryption algorithms and various layers of data will be sent via the network model. Data can be authenticated in the network layer by using confidentiality methods and high-level cryptanalysis. We also used the principles of data mining for this, such as clustering with grid techniques. There are a variety of levels in the framework, but there is some vulnerability at each level. The vulnerabilities are undermined by the transformation of packets between hosts with a perfect automated programme for MAC & IP address generation with a high-level protection framework. The aim of this research paper is to decrease the number of opponent attempts. In certain situations, with the aid of security alliances, low-level data with vulnerable information can be weakened at the top level with multi-level security. The total information is separated into different groups in the database on the basis of user availability. The classification is identical to authorized data, unauthorized data, private and public data, but the protection provision is strengthened in each group. The key concept is to empower security with enhanced tools for data transfer in an existing network that is efficiently fast & stable.