A rule learning approach for building an expert system to detect network intrusions
المؤلفون المشاركون
Jalal, Umar
Nasr, Ahmad
Rizq Allah, Lidya Wahid
المصدر
International Journal of Intelligent Computing and Information Sciences
العدد
المجلد 23، العدد 1 (31 مارس/آذار 2023)، ص ص. 106-114، 9ص.
الناشر
جامعة عين شمس كلية الحاسبات و المعلومات
تاريخ النشر
2023-03-31
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
Network intrusion detection is the problem of detecting suspicious requests through networks.
in recent years, many researchers focus on addressing this problem in the context of machine learning.
although machine learning algorithms are powerful, most of them lack the power of interpretability.
expert systems, on the other hand, are knowledge-based systems designed to simulate the problem-solving behavior of human experts.
expert systems possess the advantage of interpretability through an explanation mechanism that justifies their line of reasoning, however, they need the availability of a domain expert.
this paper proposes the use of rule learning approaches to gain the best of both fields, being interpretable as the expert system and learnable through collected datasets without the need for explicit expertise.
a separate and conquer rule learning approach is proposed for network intrusion detection.
our results show that the separate and conquer approach achieves a 0.99 weighted average f1-score on the test set which makes it very comparative to both decision trees and classical machine learning approaches.
we also show that rules produced using separate and conquer are much simpler than decision trees and more interpretable.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jalal, Umar& Nasr, Ahmad& Rizq Allah, Lidya Wahid. 2023. A rule learning approach for building an expert system to detect network intrusions. International Journal of Intelligent Computing and Information Sciences،Vol. 23, no. 1, pp.106-114.
https://search.emarefa.net/detail/BIM-1460755
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jalal, Umar…[et al.]. A rule learning approach for building an expert system to detect network intrusions. International Journal of Intelligent Computing and Information Sciences Vol. 23, no. 1 (Mar. 2023), pp.106-114.
https://search.emarefa.net/detail/BIM-1460755
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jalal, Umar& Nasr, Ahmad& Rizq Allah, Lidya Wahid. A rule learning approach for building an expert system to detect network intrusions. International Journal of Intelligent Computing and Information Sciences. 2023. Vol. 23, no. 1, pp.106-114.
https://search.emarefa.net/detail/BIM-1460755
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 113-114
رقم السجل
BIM-1460755
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