0% Complete
English
صفحه اصلی
/
سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Ensemble Model Based on an Improved Convolutional Neural Network with a Domain-agnostic Data Augmentation Technique
نویسندگان :
Faraz Fatahnaie
1
Armin Azhdehnia
2
Seyyed Amir Asghari
3
Mohammadreza Binesh Marvasti
4
1- دانشگاه خوارزمی
2- دانشگاه گیلان
3- دانشگاه خوارزمی
4- دانشگاه خوارزمی
کلمات کلیدی :
Intrusion Detection System،NSL-KDD،Deep Learning،Ensemble Learning،Random Under Sampling،Data Augmentation
چکیده :
With the increase of online activities and the growing number of online services, various cyber threats pose a significant challenge to Network Intrusion Detection systems (NIDS). To face these threats, available imbalance sources made researchers develop resampling techniques to have a balance training process. In this paper, a domain-agnostic data augmentation approach followed by random under sampling is used to achieve credible generalized and robust IDS. Moreover, the framework benefits from the potentiality of deep learning models to extract more meaningful features. The final model of the paper was obtained after the ensemble of three improved convolutional neural networks. Each model is trained on a specific subset of NSL-KDD dataset which is generated by the resampling method. The simulation results illustrate that the model achieves an accuracy of 83.3% which is 6.5% higher, when the original dataset is used.
لیست مقالات
لیست مقالات بایگانی شده
AOV-IDS: Arithmetic Optimizer with Voting classifier for Intrusion Detection System
Amir Soltany Mahboob - Mohammad Reza Ostadi Moghaddam - Shima Yousefi
ISPREC: Integrated Scientific Paper Recommendation using heterogeneous information network
Elaheh Jafari - Dr Bita Shams - Dr Saman Haratizadeh
Open-domain question classification and completion in conversational information search
Omid Mohammadi Kia - Mahmood Neshati - Mahsa Soudi Alamdari
Secure Mutual Authentication and Key Agreement Protocol for IoT
Mostafa Sadeghi
A clonal selection mechanism for load balancing in the cloud computing system
Melika Mosayyebi - Reza Azmi
خوشهبندی موثر در استخراج توضیحات مفهوممحور خودکار برای شبکههای پیچشی
سعید معروف - مریم امیرمزلقانی - رضا صفابخش
Fast Duplicate Bug Reports Detector Training using Sampling for Dimension Reduction
Behzad Soleimani Neysiani - Saeed Doostali - Seyed Morteza Babamir - Zahra Aminoroaya
جمعآوری، تحلیل و خلاصه سازی نظرات کاربران فارسی زبان در شبکههای اجتماعی پیرامون بیماری فراگیر کووید-19
محمدرضا شمس - محمد یاسین فخار محمدرضا شمس - محمد یاسین فخار -
Intelligent Transportation System (ITS) Using Internet of Things (IoT)
Engineer Reza Khalilian - Dr. Abdalhossein Rezai - Dr. Sayyed Mohammad Reza Talakesh
Architectural Insights: Comparing Weight Stationary and Output Stationary Systolic Arrays for Efficient Computation
Mahdi Kalbasi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.2