An energy aware resource allocation based on combination of CNN and GRU for virtual machine selection
The use of cloud computing service models is rapidly increasing, but inefficient resource
usage in cloud data centers can lead to great energy consumption and costs. To address …
usage in cloud data centers can lead to great energy consumption and costs. To address …
BFCN: A novel classification method of encrypted traffic based on BERT and CNN
Z Shi, N Luktarhan, Y Song, G Tian - Electronics, 2023 - mdpi.com
With the speedy advancement of encryption technology and the exponential increase in
applications, network traffic classification has become an increasingly important research …
applications, network traffic classification has become an increasingly important research …
ICLSTM: encrypted traffic service identification based on inception-LSTM neural network
B Lu, N Luktarhan, C Ding, W Zhang - Symmetry, 2021 - mdpi.com
The wide application of encryption technology has made traffic classification gradually
become a major challenge in the field of network security. Traditional methods such as …
become a major challenge in the field of network security. Traditional methods such as …
CSCNN: cost-sensitive convolutional neural network for encrypted traffic classification
S Soleymanpour, H Sadr… - Neural Processing …, 2021 - Springer
By the rapid development of the Internet and online applications, traffic classification not only
has changed to an interesting topic in the field of computer networks but also plays a key …
has changed to an interesting topic in the field of computer networks but also plays a key …
Markov‐GAN: Markov image enhancement method for malicious encrypted traffic classification
Z Tang, J Wang, B Yuan, H Li, J Zhang… - IET Information …, 2022 - Wiley Online Library
The rapidly growing encrypted traffic hides a large number of malicious behaviours. The
difficulty of collecting and labelling encrypted traffic makes the class distribution of dataset …
difficulty of collecting and labelling encrypted traffic makes the class distribution of dataset …
Machine learning-based network status detection and fault localization
Although the autonomous detection of network status and localization of network faults can
be a valuable tool for network and service operators, very few works have investigated this …
be a valuable tool for network and service operators, very few works have investigated this …
Crypto makes ai evolve
Adopting cryptography has given rise to a significant? evolution in AI. This chapter studies
the path and stages of this evolution. We start with reviewing existing relevant surveys …
the path and stages of this evolution. We start with reviewing existing relevant surveys …
[HTML][HTML] Length matters: Scalable fast encrypted internet traffic service classification based on multiple protocol data unit length sequence with composite deep …
Z Chen, G Cheng, Z Xu, S Guo, Y Zhou… - Digital Communications …, 2022 - Elsevier
As an essential function of encrypted Internet traffic analysis, encrypted traffic service
classification can support both coarse-grained network service traffic management and …
classification can support both coarse-grained network service traffic management and …
Length matters: Fast internet encrypted traffic service classification based on multi-PDU lengths
Z Chen, G Cheng, B Jiang, S Tang… - … on Mobility, Sensing …, 2020 - ieeexplore.ieee.org
Encryption of network traffic has become an inevitable trend. As an important link to Internet
encrypted traffic analysis, encrypted traffic service classification can provide support for the …
encrypted traffic analysis, encrypted traffic service classification can provide support for the …
Complex valued deep neural networks for nonlinear system modeling
Deep learning models, such as convolutional neural networks (CNN), have been
successfully applied in pattern recognition and system identification recent years. But for the …
successfully applied in pattern recognition and system identification recent years. But for the …