Cellular Neural Network-Based Methods for Distributed Network Intrusion Detection

المؤلفون المشاركون

Xie, Kang
Xin, Yang
Xia, Guangsheng
Yang, Yixian

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2015-03-02

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

هندسة مدنية

الملخص EN

According to the problems of current distributed architecture intrusion detection systems (DIDS), a new online distributed intrusion detection model based on cellular neural network (CNN) was proposed, in which discrete-time CNN (DTCNN) was used as weak classifier in each local node and state-controlled CNN (SCCNN) was used as global detection method, respectively.

We further proposed a new method for design template parameters of SCCNN via solving Linear Matrix Inequality.

Experimental results based on KDD CUP 99 dataset show its feasibility and effectiveness.

Emerging evidence has indicated that this new approach is affordable to parallelism and analog very large scale integration (VLSI) implementation which allows the distributed intrusion detection to be performed better.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Xie, Kang& Yang, Yixian& Xin, Yang& Xia, Guangsheng. 2015. Cellular Neural Network-Based Methods for Distributed Network Intrusion Detection. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073550

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Xie, Kang…[et al.]. Cellular Neural Network-Based Methods for Distributed Network Intrusion Detection. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073550

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Xie, Kang& Yang, Yixian& Xin, Yang& Xia, Guangsheng. Cellular Neural Network-Based Methods for Distributed Network Intrusion Detection. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073550

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1073550