IEEE

An Efficient RBF Neural Network-Based Method for Defending Against Collusive Interest Flooding Attacks in Named Data Networks

Abstract: Named data networks (NDNs), as one of the standards for information center networks (ICNs), have attracted substantial attention in recent years due to their efficient forwarding mechanisms.
IEEE

Approximation-Based Optimization of Nonlinear Functions Using Taylor Series Expansion and Radial Basis Functions

Abstract: This paper explores Taylor Series Expansion and Radial Basis Function (RBF)approximation methods for solving optimization problems. Ten benchmark functions are tested using Sequential ...