Network Attack Detection Based on Combination of Neural, Immune and Neuro-Fuzzy Classifiers

2015 ◽  
Author(s):  
Alexander Branitskiy ◽  
Igor Kotenko
Keyword(s):  
Attack Detection ◽  
Network Attack ◽  
Neuro Fuzzy ◽  
Fuzzy Classifiers

Deep learning for detecting logic-flaw-exploiting network attacks: An end-to-end approach

2021 ◽  
pp. 1-30
Author(s):  
Qingtian Zou ◽  
Anoop Singhal ◽  
Xiaoyan Sun ◽  
Peng Liu
Keyword(s):  
Deep Learning ◽  
Attack Detection ◽  
Network Data ◽  
Learning Models ◽  
Real World Data ◽  
Network Attacks ◽  
Network Attack ◽  
Public Network ◽  
Network Intrusion ◽  
End To End

Network attacks have become a major security concern for organizations worldwide. A category of network attacks that exploit the logic (security) flaws of a few widely-deployed authentication protocols has been commonly observed in recent years. Such logic-flaw-exploiting network attacks often do not have distinguishing signatures, and can thus easily evade the typical signature-based network intrusion detection systems. Recently, researchers have applied neural networks to detect network attacks with network logs. However, public network data sets have major drawbacks such as limited data sample variations and unbalanced data with respect to malicious and benign samples. In this paper, we present a new end-to-end approach based on protocol fuzzing to automatically generate high-quality network data, on which deep learning models can be trained for network attack detection. Our findings show that protocol fuzzing can generate data samples that cover real-world data, and deep learning models trained with fuzzed data can successfully detect the logic-flaw-exploiting network attacks.

Network attack detection method for power system terminal based on improved random forest

2021 ◽  
Author(s):  
Tong Yu ◽  
Ming Xie ◽  
Xin Li ◽  
Ying Ling ◽  
Dongmei Bin ◽  
...  
Keyword(s):  
Random Forest ◽  
Power System ◽  
Detection Method ◽  
Attack Detection ◽  
Network Attack

Implementation of Network Attack Detection using Convolutional Neural Network

2021 ◽  
Author(s):  
Youssef F. Sallam ◽  
Hossam El-din H. Ahmed ◽  
Adel Saleeb ◽  
Nirmeen A. El-Bahnasawy ◽  
Fathi E. Abd El-Samie
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Attack Detection ◽  
Network Attack
Sign in / Sign up

Export Citation Format

Share Document