Developing an algorithm for the application of Bayesian method to software using artificial immune systems

This paper develops a new algorithm by applying the Bayesian method to software using artificial immune systems. An system is an adaptive computing that uses models, principles, mechanisms, and functions used solve problems in theoretical immunology. Its application various fields of science studied. The role systems play invaluable. Methods for detecting malware are explored. Some works field analyzed issues be addressed identified. accurately calculates probability occurrence any event under certain conditions. Therefore, applied By this method, fast performance can achieved. For this, developed experiments conducted. one ones. results provide good performance.