- Abnormal ARP Traffic Detection and Prevention

2012 ◽  
pp. 78-121
Keyword(s):  
Traffic Detection

scholarly journals DarkDetect: Darknet Traffic Detection and Categorization using Modified Convolution-Long Short-Term Memory

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Muhammad Bilal Sarwar ◽  
Muhammad Kashif Hanif ◽  
Ramzan Talib ◽  
Muhammad Younas ◽  
Muhammad Umer Sarwar
Keyword(s):  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory ◽  
Traffic Detection

scholarly journals Augmenting the Floating Car Data Approach by Dynamic Indirect Traffic Detection

2012 ◽  
Vol 48 ◽  
pp. 1525-1534 ◽  
Author(s):  
Sten Ruppe ◽  
Marek Junghans ◽  
Mathias Haberjahn ◽  
Christian Troppenz
Keyword(s):  
Floating Car Data ◽  
Traffic Detection

Semi-Supervised Learning BitTorrent Traffic Detection

2017 ◽  
pp. 191-209
Author(s):  
Raymond Siulai Wong ◽  
Teng-Sheng Wong ◽  
Melody Wong
Keyword(s):  
Supervised Learning ◽  
Traffic Detection

scholarly journals Machine learning: Enhancing the Perception of the Computer

2020 ◽  
Vol 9 (4) ◽  
pp. 758-761
Keyword(s):  
Machine Learning ◽  
Computer Training ◽  
Internet Traffic ◽  
The Internet ◽  
Popular Method ◽  
Exponential Increase ◽  
Computer Teaching ◽  
Traffic Detection ◽  
The Web

The advancement of technology and networking allows the use of the Web incredibly important. There is thus an exponential increase in data and information via the Internet. This flow thus is a beneficial field of study which can be defined accurately. Internet traffic detection is a very popular method of identifying information. Although so many methods have been successfully developed for classifying internet traffic, computer training technology among them is most popular. A short study of the classification of Internet traffic on various managed and non-regulated computer teaching systems was undertaken by many researchers. This paper will give various ideas to the other researcher’s and help them to learn a lot about machine learning

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