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دسته بندی:
یادگیری عمیق - deep learning
سال انتشار:
2019
عنوان انگلیسی مقاله:
An efficient hybrid deep learning approach for internet security
ترجمه فارسی عنوان مقاله:
یک رویکرد یادگیری عمیق ترکیبی کارآمد برای امنیت اینترنت
منبع:
Sciencedirect - Elsevier - Physica A, 535 (2019) 122492: doi:10:1016/j:physa:2019:122492
نویسنده:
Fatih Ertam
چکیده انگلیسی:
Nowadays, internet is mostly used communication tool worldwide. However, the major
problem of the internet is to provide security. To provide internet security, many
researches and papers have been suggested about information and network security.
The commonly used system against network attacks is firewalls.
In this study, a novel firewall data classification approach is presented. This approach
uses 10 cases to obtain numerical results. The proposed approach consists of data
acquisition from Firewall, feature selection and classification steps. Firstly, the Firewall
data were gathered from a Firewall. Then, the redundant features are eliminated and
these features are normalized using min–max normalization. The obtained final feature
sets are forwarded to classifiers. In the cases defined, Long Short-Term Memory (LSTM),
Bi-directional Long Short-Term Memory (Bi-LSTM) and Support Vector Machine (SVM)
are utilized as classifiers. It was seen from the results, the deep learning approach
are more successful than SVM classifier and the highest classification accuracy was
calculated as 97.38% by using Bi-LSTM-LSTM hybrid network. The proposed method has
several advantages and these are (1) the proposed method achieved high success rates
using hybrid deep learning approaches (2) the training time of the proposed method
is short (3) an intelligent network security monitoring method is presented using basic
methods and deep learning. In addition, a useful approach has been presented to achieve
high success rate at the end of the faster training process than traditional machine
learning methods. Briefly, an intelligent monitoring system is proposed for network
security.
Keywords: Deep learning | LSTM | Bi-LSTM | Network security | Classification | Big data
قیمت: رایگان
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