A Neighbor Prototype Selection Method Based on CCHPSO for Intrusion Detection
المؤلفون المشاركون
Zheng, Kangfeng
Wu, Chunhua
Shen, Yanping
Yang, Yixian
المصدر
Security and Communication Networks
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-08-20
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Nearest neighbor (NN) models play an important role in the intrusion detection system (IDS).
However, with the advent of the era of big data, the NN model has the disadvantages of low efficiency, noise sensitivity, and high storage requirement.
This paper presents a neighbor prototype selection method based on CCHPSO for intrusion detection.
In the model, the prototype selection and feature weight adjustment are performed simultaneously and k-nearest neighbor (KNN) is used as the basic classifier.
To deal with large-scale optimization problems, a cooperative coevolving algorithm based on hybrid standard particle swarm and binary particle swarm optimization, which employs the divide-and-conquer strategy, is proposed in this paper.
Meanwhile, a fitness function based on the accuracy and data reduction rate is defined in the CCHPSO to obtain a set of appropriate prototypes and feature weights.
The KDD99 and NSL datasets are used to assess the effectiveness of the method.
The empirical results indicate that the data reduction rate of the proposed method is very high, ranging from 82.32% to 92.01%.
Compared with all the data used, the proposed method can not only achieve comparable accuracy performance but also save a lot of storage and computing resources.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shen, Yanping& Zheng, Kangfeng& Wu, Chunhua& Yang, Yixian. 2019. A Neighbor Prototype Selection Method Based on CCHPSO for Intrusion Detection. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1210231
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shen, Yanping…[et al.]. A Neighbor Prototype Selection Method Based on CCHPSO for Intrusion Detection. Security and Communication Networks No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1210231
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shen, Yanping& Zheng, Kangfeng& Wu, Chunhua& Yang, Yixian. A Neighbor Prototype Selection Method Based on CCHPSO for Intrusion Detection. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1210231
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1210231
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر