Sustainable Network by Enhancing Attribute-Based Selection Mechanism Using Lagrange Interpolation

The security framework in Ad-hoc Networks (ANET) continues to attract the attention of researchers, although significant work has been accomplished already. Researchers last couple years have shown quite an improvement Identity Dependent Cryptography (IDC). Security ANET is hard attain due vulnerability links (Wireless). IDC encompasses Polynomial Interpolations (PI) such as Lagrange, curve-fitting, and spline provide by implementing Integrated Key Management (IKM). PI structure trusts all available nodes network randomly picks for key generation. This paper presents a solution trust issues raised Lagrange’s-PI (LI) utilizing artificial neural attribute-based tree structure. proposed not only improves factor but also enhances accuracy measures LI sustainable system. Throughput, PDR, noise, latency increased 47%, 50%, 34%, 30%, respectively, using incorporating aforementioned techniques.