The rise of traffic classification in IoT networks: A survey
With the proliferation of the Internet of Things (IoT), the integration and communication of
various objects have become a prevalent practice. The huge growth of IoT devices and …
various objects have become a prevalent practice. The huge growth of IoT devices and …
A survey on internet traffic identification
The area of Internet traffic measurement has advanced enormously over the last couple of
years. This was mostly due to the increase in network access speeds, due to the …
years. This was mostly due to the increase in network access speeds, due to the …
An empirical comparison of botnet detection methods
The results of botnet detection methods are usually presented without any comparison.
Although it is generally accepted that more comparisons with third-party methods may help …
Although it is generally accepted that more comparisons with third-party methods may help …
Network traffic classification using deep convolutional recurrent autoencoder neural networks for spatial–temporal features extraction
G D'Angelo, F Palmieri - Journal of Network and Computer Applications, 2021 - Elsevier
The right choice of features to be extracted from individual or aggregated observations is an
extremely critical factor for the success of modern network traffic classification approaches …
extremely critical factor for the success of modern network traffic classification approaches …
Detecting large-scale system problems by mining console logs
Surprisingly, console logs rarely help operators detect problems in large-scale datacenter
services, for they often consist of the voluminous intermixing of messages from many …
services, for they often consist of the voluminous intermixing of messages from many …
Machine learning based botnet detection using real-time extracted traffic features
S Ranjan - US Patent 8,682,812, 2014 - Google Patents
(57) ABSTRACT A method for identifying a botnet in a network, including analyzing historical
network data using a pre-determined heuristic to determine values of a feature in the …
network data using a pre-determined heuristic to determine values of a feature in the …
Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines
The Internet has become essential to all aspects of modern life, and thus the consequences
of network disruption have become increasingly severe. It is widely recognised that the …
of network disruption have become increasingly severe. It is widely recognised that the …
Mining anomalies using traffic feature distributions
A Lakhina, M Crovella, C Diot - ACM SIGCOMM computer …, 2005 - dl.acm.org
The increasing practicality of large-scale flow capture makes it possible to conceive of traffic
analysis methods that detect and identify a large and diverse set of anomalies. However the …
analysis methods that detect and identify a large and diverse set of anomalies. However the …
BLINC: multilevel traffic classification in the dark
T Karagiannis, K Papagiannaki… - Proceedings of the 2005 …, 2005 - dl.acm.org
We present a fundamentally different approach to classifying traffic flows according to the
applications that generate them. In contrast to previous methods, our approach is based on …
applications that generate them. In contrast to previous methods, our approach is based on …
Bayesian neural networks for internet traffic classification
T Auld, AW Moore, SF Gull - IEEE Transactions on neural …, 2007 - ieeexplore.ieee.org
Internet traffic identification is an important tool for network management. It allows operators
to better predict future traffic matrices and demands, security personnel to detect anomalous …
to better predict future traffic matrices and demands, security personnel to detect anomalous …