An energy aware resource allocation based on combination of CNN and GRU for virtual machine selection

Z Khodaverdian, H Sadr, SA Edalatpanah… - Multimedia tools and …, 2024 - Springer
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 …

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 …

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 …

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 …

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 …

Machine learning-based network status detection and fault localization

AR Mohammed, SA Mohammed, D Côté… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

Crypto makes ai evolve

B Zolfaghari, H Nemati, N Yanai, K Bibak - Crypto and AI: From …, 2023 - Springer
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 …

[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 …

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 …

Complex valued deep neural networks for nonlinear system modeling

M Lopez-Pacheco, W Yu - Neural Processing Letters, 2022 - Springer
Deep learning models, such as convolutional neural networks (CNN), have been
successfully applied in pattern recognition and system identification recent years. But for the …