The Construction Of Resilient Functions And The Research Of Intelligentized Ids Methods

The existence and construction of resilient functions in Encryption and the intelligentized improvement based on Machine Learning in IDS are the focus of information security.This passage closely focuses on the construction of the resilient functions and the research of intelligentized IDS methods.The resilient is one of the most important security character in Encryption.Although it is the extend of the conception of correlation immunity functions,its construction and property are more complex than correlation immunity functions.We first study the character and constructing methods of resilient functions over finite fields, then construct the (q , m+ n,n,m) resilient functions over Fq by using the basic theory of finite fields and the structure of resilient functions ,such that n≥m, 1≤m≤q ? 1, q≥3,and at last prove the exisitence of (q , m+ n,n,m) resilient functions when n > q?1.Intelligentized IDS methods, which can make the system more adaptability and self-studying, are important research directions of IDS so far. In order to make the IDS systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra- ction algorithm based on IKPCA by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver- gence of the algorithm.In addition,we validate the validity of the algorithm by means of experim- ents; At the same time ,through studying ICA and Neural Networks,we propose FastICA-NN IDS,and then test the KDDCUP99 10% date set to make comparison of KPCA,IKPCA and FastICA algorithms in intrusion detection advantages and disadvantages.