The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection : A Review
المؤلفون المشاركون
المصدر
Applied Computational Intelligence and Soft Computing
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-20، 20ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-09-12
دولة النشر
مصر
عدد الصفحات
20
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
In supervised learning-based classification, ensembles have been successfully employed to different application domains.
In the literature, many researchers have proposed different ensembles by considering different combination methods, training datasets, base classifiers, and many other factors.
Artificial-intelligence-(AI-) based techniques play prominent role in development of ensemble for intrusion detection (ID) and have many benefits over other techniques.
However, there is no comprehensive review of ensembles in general and AI-based ensembles for ID to examine and understand their current research status to solve the ID problem.
Here, an updated review of ensembles and their taxonomies has been presented in general.
The paper also presents the updated review of various AI-based ensembles for ID (in particular) during last decade.
The related studies of AI-based ensembles are compared by set of evaluation metrics driven from (1) architecture & approach followed; (2) different methods utilized in different phases of ensemble learning; (3) other measures used to evaluate classification performance of the ensembles.
The paper also provides the future directions of the research in this area.
The paper will help the better understanding of different directions in which research of ensembles has been done in general and specifically: field of intrusion detection systems (IDSs).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kumar, Gulshan& Kumar, Krishan. 2012. The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection : A Review. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-503187
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kumar, Gulshan& Kumar, Krishan. The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection : A Review. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-503187
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kumar, Gulshan& Kumar, Krishan. The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection : A Review. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-503187
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-503187
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