نوع المشرف

مشرف رئيسي

تاريخ الاشراف على الرسالة من

2019

الى

2020

اسم الطالب

سعود محمد عبد البقور

ملخص الرسالة

There is needed for the efficient intrusion detection system working over the network system to detect the whole possible attacks. Intrusion detection is so much popular since the last two decades, where intruders attempted to break into or misuse the system. There are many techniques used in IDS for protecting computers and networks from network-based and host-based attacks. In this thesis, the proposed approach presents a new model for intrusion detection (IDS) using a bat algorithm that aims to select the best features using big data concepts. The proposed approach divided into several phases to extract and find all possible features that effect directly in the detection process