A Factor Analysis-Based Detection Approach to Network Traffic Anomalies for Power Telecommunication Access Networks

2018 ◽  
pp. 75-82
Author(s):  
Peng Ji ◽  
Hongyu Zhang ◽  
Wen Xu ◽  
Xianjing Liu ◽  
Qinghai Ou ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Network Traffic ◽  
Access Networks ◽  
Detection Approach

Detecting anomalies from big network traffic data using an adaptive detection approach

2015 ◽  
Vol 318 ◽  
pp. 91-110 ◽  
Author(s):  
Ji Zhang ◽  
Hongzhou Li ◽  
Qigang Gao ◽  
Hai Wang ◽  
Yonglong Luo
Keyword(s):  
Network Traffic ◽  
Traffic Data ◽  
Adaptive Detection ◽  
Detection Approach

An Continuous Wavelet Transform-Based Detection Approach to Traffic Anomalies

2011 ◽  
Vol 130-134 ◽  
pp. 2098-2102
Author(s):  
Ding De Jiang ◽  
Cheng Yao ◽  
Zheng Zheng Xu ◽  
Peng Zhang ◽  
Zhen Yuan ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Continuous Wavelet Transform ◽  
Network Traffic ◽  
Wavelet Transforms ◽  
Detection Threshold ◽  
Continuous Wavelet ◽  
Continuous Wavelet Transforms ◽  
Traffic Characteristics ◽  
Analysis Theory ◽  
Detection Approach

Anomalous traffic often has a significant impact on network activities and lead to the severe damage to our networks because they usually are involved with network faults and network attacks. How to detect effectively network traffic anomalies is a challenge for network operators and researchers. This paper proposes a novel method for detecting traffic anomalies in a network, based on continuous wavelet transform. Firstly, continuous wavelet transforms are performed for network traffic in several scales. We then use multi-scale analysis theory to extract traffic characteristics. And these characteristics in different scales are further analyzed and an appropriate detection threshold can be obtained. Consequently, we can make the exact anomaly detection. Simulation results show that our approach is effective and feasible.

A novel Covert Timing Channel detection approach for online network traffic

2015 ◽  
Author(s):  
Fahimeh Rezaei ◽  
Michael Hempel ◽  
Pradhumna Lal Shrestha ◽  
Sushanta Mohan Rakshit ◽  
Hamid Sharif
Keyword(s):  
Network Traffic ◽  
Channel Detection ◽  
Detection Approach ◽  
Timing Channel ◽  
Covert Timing Channel
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