Enhancement Methods of Intrusion Detection Systems Using Artificial Intelligence Methods "TLBO" Algorithm
| المصدر: | مجلة ميسان للدراسات الأكاديمية |
|---|---|
| الناشر: | جامعة ميسان - كلية التربية الأساسية |
| المؤلف الرئيسي: | Al-Hammash, Mohammed Saeed Hashim (Author) |
| مؤلفين آخرين: | Maarouf, Haitham (Co-Author) |
| المجلد/العدد: | مج23, ع49 |
| محكمة: | نعم |
| الدولة: |
العراق |
| التاريخ الميلادي: |
2024
|
| الشهر: | آذار |
| الصفحات: | 105 - 112 |
| DOI: |
10.54633/2333-023-049-010 |
| ISSN: |
1994-697X |
| رقم MD: | 1458145 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EduSearch, HumanIndex |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
IDS | TLBO | SVM | Feature Selection
|
| رابط المحتوى: |
عدد مرات التحميل
4
| المستخلص: |
Many methods have been used to build intrusion detection system based on the objective to be achieved in the prescribed manner. Hybrid methods (multiple methods) usually give better results and accuracy. The recent developments and popularization of network & information technologies have necessitated the need for network information security. Human-based smart intrusion detection systems (IDSs) are built with the capability to either warn or intercept network intrusion; this is not possible with the conventional network security systems. However, most information security studies have focused on improvement of the effectiveness of smart network IDSs. This study used TLBO algorithm as a feature selection algorithm to choose the best subset features and SVM classifier to classify the packet if it is intrusion or normal packet, two machine learning datasets used to test the proposed algorithm, the results show that the proposed algorithm perform better than many of the existing work in IDS. |
|---|---|
| ISSN: |
1994-697X |
عناصر مشابهة
-
Proposed Model for Enhancing Intrusion Detection System in DevOps Continuous Monitoring Stage Using AI
بواسطة: الزبن، أحمد زهير محمد منشور: (2022) -
Intrusion Detection in WSN Using Artificial Neural Networks and Prairie Dog Optimization Algorithm
بواسطة: الحوامدة، آية محمد منشور: (2023) -
Intelligent Hybrid Approach for Classification Accuracy of Intrusion Detection System
بواسطة: عباس، مصطفى نهاد منشور: (2019) -
Review: Network Intrusion Detection Systems for Attack Detection and Prevention
بواسطة: Abdul-Hussein, Mohammad K. منشور: (2023) -
A NOVEL INTRUSION DETECTION SYSTEM ROR COLLABORATIVE ATTACKS MOBILE AD-HOC NETWORDS
بواسطة: Basabaa, Abd Alsalam Salem Saeed منشور: (2014)
