A Negative Selection Algorithm Based on Hierarchical Clustering of Self Set and its Application in Anomaly Detection

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Efficient Parallel Anomaly Detection Algorithm Based on Hierarchical Clustering

For the purpose of improving real time and profiles accuracy, a parallel anomaly detection algorithm based on hierarchical clustering has been proposed. Training and predicting are two busiest processes and they are parallel designed and implemented. Moreover, an abnormal cluster feature tree is built to dig anomalies from normal profiles. A series of experiment results on wellknown KDD Cup 199...

متن کامل

ahp algorithm and un-supervised clustering in auto insurance fraud detection

this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...

15 صفحه اول

A Novel Immune Anomaly Detection Technique Based on Negative Selection

Here, a representation of the environment, the antigens (negative samples) and the detectors (antibodies) is chosen. Besides, a matching rule between detectors and antigens is specified; an antigen matches a detector if the distance between them is less than a threshold value. The goal of the training process of the AIS is to find an optimum covering of the self space with a suitable set of ant...

متن کامل

A Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data

The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...

متن کامل

A Cooperative Negative Selection Algorithm for Anomaly Detection

Artificial Immune System (AIS) is a convoluted and complex arrangement derived from biological immune system (BIS). It possesses the abilities of self-adapting, self-learning and self-configuration. It has the basic function to distinguish self and non-self. Negative Selection Algorithm (NSA) over the years has shown to be competent for anomaly detection problems. In the past decade internet ha...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Computational Intelligence Systems

سال: 2011

ISSN: 1875-6891,1875-6883

DOI: 10.1080/18756891.2011.9727800