0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
A Coronavirus Herd Immunity Optimizer For Intrusion Detection System
نویسندگان :
Amir Soltany Mahboob
1
Hadi Shahriar Shahhoseini
2
Mohammad Reza Ostadi Moghaddam
3
Shima Yousefi
4
1- دانشگاه علم و صنعت ایران
2- دانشگاه علم و صنعت ایران
3- دانشگاه علم و صنعت ایران
4- دانشگاه علم و صنعت ایران
کلمات کلیدی :
Intrusion detection system, feature selection, coronavirus herd immunity optimizer, Artificial Neural Network classifier, K-Nearest Neighbor classifier
چکیده :
Intrusion Detection System (IDS) is considered as one of the essential components of a secure network. Due to the high number of network packet features, one of the major problems of IDS is false intrusion alerts and low intrusion detection rates. Feature selection removes all redundant or irrelevant features among the various features of network packets. For this reason, it plays a pivotal role in overcoming the mentioned problems and can improve the accuracy of intrusion detection system. In this paper, a new human-inspired optimization algorithm called coronavirus herd immunity optimizer (CHIO) is proposed for feature selection in IDS. CHIO is able to select the optimal subset of features from numerous features without affecting system performance. In order to select the feature, two types of classifiers, K-Nearest Neighbor (KNN) and Artificial Neural Network (ANN), are used to obtain the accuracy of intrusion detection. In addition, the ANN classifier is trained with the classic Gradient Descent (GD) method as well as the two intelligent methods Artificial Bee Colony (ABC) and Harmony Search (HS). In order to demonstrate the performance, our method is tested on 20% of NSL-KDD and its results are reported and compared to other studies. The proposed method has been able to achieve better performance in terms of intrusion detection accuracy and number of features compared to similar works.
لیست مقالات
لیست مقالات بایگانی شده
Fusion of Multi-Level CNN With LBP Features For Facial Emotion Recognition
Ehsan Bahmanabady - Maryam Imani - Hassan Ghassemian
Sparsity Domain Smoothing Based Thresholding Recovery Method for OFDM Sparse Channel Estimation
Mohammad Hossein Bahonar - Reza Ghaderi Zefreh - Rouhollah Amiri
نحوه کنترل سطوح هوشمند با قابلیت تنظیم مجدد در راستای مقابله با استراق سمع کننده ها
محمد کاظم ناطقی - زلفا زینل پور یزدی
Automated Optic Disc Segmentation in Low-Quality Retinopathy of Prematurity Retinal Images
Abolfazl Karimiyan Abdar - Reza AghaeiZadeh Zoroofi - Naser Shoeibi - Sare Safi - Alireza Ramezani - Homayoun Nikkhah - Hamid Safi - Mohammad Reza Ansari Astaneh
طراحی بهینه چند هدفی کنترل کننده مدلغزشی مرتبه کسری برای سیستم کوادروتور
ابوالفضل انصاریان - جواد عسکری - مرضیه کمالی - محمدجواد محمودآبادی
Enhancing Precision in Dermoscopic Imaging using TransUNet and CASCADE
Mahdi Niknejad - Mahdi Firouzbakht - Maryam Amirmazlaghani
بخشبندی خودکار تصاویر تشدید مغناطیسی ستون فقرات کمری با شبکه سِگیونِت
محمد انصاری فرد - رضا آقایی زاده ظروفی
اندازهگیری علائم حیاتی چندین نفر با استفاده از رادار داپلر چرخان
فاطمه نقاش - محمدرضا شمسیان - فریدون بهنیا
Active and Passive Beamforming for Secure Wireless Communication via Star-RIS under imperfect CSI
Seyedeh Reyhane Shahcheragh - Kamal Mohamed-pour
Small Target Detection Using an Enhanced Optimization Based Filter and Trajectory Tracking Via Pattern Matching Algorithm
Seyedeh Mahsa Zakipour Bahambari - Saeed Khankalantary
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2