ISSN 2394-5125
 


    INPUT DATA PROCESSING TECHNIQUES IN INTRUSION DETECTION SYSTEMS � SHORT REVIEW (2018)


    Dr. Sunil Mishra (Cse), Dr. Surya Kant (Cse) , Dr. Deepak Dambla (Cse)
    JCR. 2018: 33-39

    Abstract

    In This Paper Intrusion Detection Systems (Idss) Are Classified According To The Techniques Applied To Processing Input Data. This Process Is Complex Because Idss Are Highly Coupled In Actual Implemented Systems. Eleven Input Data Processing Techniques Associated With Intrusion Detection Systems Are Identified. They Are Then Grouped Into More Abstract Categories. Some Approaches Are Artificially Intelligent Such As Neural Networks, Expert Systems, And Agents. Others Are Computationally Based Such As Bayesian Networks, And Fuzzy Logic. Finally, Some Are Based On Biological Concepts Such As Immune Systems And Genetics. Characteristics Of And Systems Employing Each Technique Are Also Mentioned

    Description

    » PDF

    Volume & Issue

    Volume 5 Issue-3

    Keywords

    .