Integrating encryption techniques for secure data storage in the cloud

B Seth, S Dalal, V Jaglan, DN Le… - Transactions on …, 2022 - Wiley Online Library
Cloud computing has emerged as one of the most groundbreaking technologies to have
redefined the bounds of conventional computing techniques. It has ushered in a paradigm …

A novel multimodal deep learning framework for encrypted traffic classification

P Lin, K Ye, Y Hu, Y Lin, CZ Xu - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
Traffic classification is essential for cybersecurity maintenance and network management,
and has been widely used in QoS (Quality of Service) guarantees, intrusion detection, and …

A look behind the curtain: traffic classification in an increasingly encrypted web

I Akbari, MA Salahuddin, L Ven, N Limam… - Proceedings of the …, 2021 - dl.acm.org
Traffic classification is essential in network management for operations ranging from
capacity planning, performance monitoring, volumetry, and resource provisioning, to …

Attention-based bidirectional GRU networks for efficient HTTPS traffic classification

X Liu, J You, Y Wu, T Li, L Li, Z Zhang, J Ge - Information Sciences, 2020 - Elsevier
Distributed and pervasive web services have become a major platform for sharing
information. However, the hypertext transfer protocol secure (HTTPS), which is a crucial web …

[HTML][HTML] The dichotomy of neural networks and cryptography: War and peace

B Zolfaghari, T Koshiba - Applied System Innovation, 2022 - mdpi.com
In recent years, neural networks and cryptographic schemes have come together in war and
peace; a cross-impact that forms a dichotomy deserving a comprehensive review study …

MATEC: A lightweight neural network for online encrypted traffic classification

J Cheng, Y Wu, E Yuepeng, J You, T Li, H Li, J Ge - Computer Networks, 2021 - Elsevier
Increased awareness of privacy protection has led to a surge in the volume of encrypted
traffic, which creates a heavy burden for efficient network management (eg quality-of-service …

CETAnalytics: Comprehensive effective traffic information analytics for encrypted traffic classification

C Dong, C Zhang, Z Lu, B Liu, B Jiang - Computer Networks, 2020 - Elsevier
Encrypted traffic classification is of great significance for advanced network services. Though
encryption methods seem unbroken in protecting users' privacy, existing studies have …

A cost-sensitive deep learning-based approach for network traffic classification

A Telikani, AH Gandomi, KKR Choo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Network traffic classification (NTC) plays an important role in cyber security and network
performance, for example in intrusion detection and facilitating a higher quality of service …

Network traffic classification based on deep learning

J Li, Z Pan - KSII Transactions on Internet and Information Systems …, 2020 - koreascience.kr
As the network goes deep into all aspects of people's lives, the number and the complexity
of network traffic is increasing, and traffic classification becomes more and more important …

Encrypted traffic classification based on Gaussian mixture models and hidden Markov models

Z Yao, J Ge, Y Wu, X Lin, R He, Y Ma - Journal of Network and Computer …, 2020 - Elsevier
To protect user privacy (eg, IP address and sensitive data in a packet), many traffic
protection methods, like traffic obfuscation and encryption technologies, are introduced …