Abstract
One of the principal research subjects for networks that handle external threats is intrusion detection. because internet security is a crucial issue today. A fresh method for securing current computers and data networks is intrusion detection. An intrusion detection system (IDS) is a software program that monitors for illegal purposes and unauthorized system access. The work that has already been done on intrusion detection systems that use Although data mining and machine learning are useful, they necessitate the training of static batch classifiers to detect attacks independent of the time-varying features of the periodic data stream.
The purpose of this study is to offer an adaptive strategy for online intrusion detection that uses stream-oriented learning to adjust to concept drift in a real-world setting. The method is assessed using the CIC-IDS 2018 dataset. Method: The proposed solution eliminates the need to continually retrain the model by using a series of algorithms for detecting change in a data stream and responding to drift detection in the streamed data. This results in quick adaptation to unforeseen intrusions.
The purpose of this study is to offer an adaptive strategy for online intrusion detection that uses stream-oriented learning to adjust to concept drift in a real-world setting. The method is assessed using the CIC-IDS 2018 dataset. Method: The proposed solution eliminates the need to continually retrain the model by using a series of algorithms for detecting change in a data stream and responding to drift detection in the streamed data. This results in quick adaptation to unforeseen intrusions.
Abstract
الغرض من هذه الدراسة هو تقديم إستراتيجية تكيفية لاكتشاف التسلل عبر الإنترنت تستخدم التعلم الموجه نحو التدفق للتكيف مع مفهوم الانجراف في بيئة العالم الحقيقي. يتم تقييم الطريقة باستخدام مجموعة بيانات CIC-IDS 2018. الطريقة: يلغي الحل المقترح الحاجة إلى إعادة تدريب النموذج باستمرار باستخدام سلسلة من الخوارزميات لاكتشاف التغيير في تدفق البيانات والاستجابة لاكتشاف الانجراف في البيانات المتدفقة. ينتج عن هذا تكيف سريع مع التدخلات غير المتوقعة.