Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data

2021 ◽  
Author(s):  
Xingran Hao ◽  
Zhengwei Jiang ◽  
Qingsai Xiao ◽  
Qiuyun Wang ◽  
Yepeng Yao ◽  
...  
Keyword(s):  
Imbalanced Data ◽  
Attack Detection ◽  
Network Attack ◽  
Detection Approach

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.

An effective attack detection approach in wireless mesh networks

2015 ◽  
Vol 5 (2) ◽  
pp. 89 ◽  
Author(s):  
Felipe Barbosa Abreu ◽  
Anderson Morais ◽  
Ana Cavalli ◽  
Bachar Wehbi ◽  
Edgardo Montes de Oca ◽  
...  
Keyword(s):  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Attack Detection ◽  
Wireless Mesh ◽  
Detection Approach

scholarly journals A passive DDoS attack detection approach based on abnormal analysis in SDN environment

2021 ◽  
Vol 2010 (1) ◽  
pp. 012146
Author(s):  
Shimin Sun ◽  
Xinchao Zhang ◽  
Wentian Huang ◽  
Aixin Xu ◽  
Xiaofan Wang ◽  
...  
Keyword(s):  
Attack Detection ◽  
Ddos Attack ◽  
Detection Approach ◽  
Ddos Attack Detection

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

Cyber Security Aspects of Virtualization in Cloud Computing Environments

2021 ◽  
pp. 1658-1671
Author(s):  
Darshan Mansukhbhai Tank ◽  
Akshai Aggarwal ◽  
Nirbhay Kumar Chaubey
Keyword(s):  
Cloud Computing ◽  
Cyber Security ◽  
Attack Detection ◽  
Cyber Attacks ◽  
Point Of View ◽  
Cyber Attack ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Detection Approach ◽  
Detection Response

Cybercrime continues to emerge, with new threats surfacing every year. Every business, regardless of its size, is a potential target of cyber-attack. Cybersecurity in today's connected world is a key component of any establishment. Amidst known security threats in a virtualization environment, side-channel attacks (SCA) target most impressionable data and computations. SCA is flattering major security interests that need to be inspected from a new point of view. As a part of cybersecurity aspects, secured implementation of virtualization infrastructure is very much essential to ensure the overall security of the cloud computing environment. We require the most effective tools for threat detection, response, and reporting to safeguard business and customers from cyber-attacks. The objective of this chapter is to explore virtualization aspects of cybersecurity threats and solutions in the cloud computing environment. The authors also discuss the design of their novel ‘Flush+Flush' cache attack detection approach in a virtualized environment.

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