Elliptic Curve Cryptography; Applications, challenges, recent advances, and future trends: A comprehensive survey

S Ullah, J Zheng, N Din, MT Hussain, F Ullah… - Computer Science …, 2023 - Elsevier
Elliptic Curve (EC) is the most recent and advanced technique of Elliptic Curve
Cryptography (ECC). EC is often used to improve the security of open communication …

Machine learning-powered encrypted network traffic analysis: A comprehensive survey

M Shen, K Ye, X Liu, L Zhu, J Kang… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …

A survey on encrypted network traffic analysis applications, techniques, and countermeasures

E Papadogiannaki, S Ioannidis - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The adoption of network traffic encryption is continually growing. Popular applications use
encryption protocols to secure communications and protect the privacy of users. In addition …

Deep packet: A novel approach for encrypted traffic classification using deep learning

M Lotfollahi, M Jafari Siavoshani… - Soft Computing, 2020 - Springer
Network traffic classification has become more important with the rapid growth of Internet
and online applications. Numerous studies have been done on this topic which have led to …

End-to-end encrypted traffic classification with one-dimensional convolution neural networks

W Wang, M Zhu, J Wang, X Zeng… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Traffic classification plays an important and basic role in network management and
cyberspace security. With the widespread use of encryption techniques in network …

Fs-net: A flow sequence network for encrypted traffic classification

C Liu, L He, G Xiong, Z Cao, Z Li - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
With more attention paid to user privacy and communication security, the volume of
encrypted traffic rises sharply, which brings a huge challenge to traditional rule-based traffic …

The rise of traffic classification in IoT networks: A survey

H Tahaei, F Afifi, A Asemi, F Zaki, NB Anuar - Journal of Network and …, 2020 - Elsevier
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 …

Towards the deployment of machine learning solutions in network traffic classification: A systematic survey

F Pacheco, E Exposito, M Gineste… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Traffic analysis is a compound of strategies intended to find relationships, patterns,
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …

Peek-a-boo: I see your smart home activities, even encrypted!

A Acar, H Fereidooni, T Abera, AK Sikder… - Proceedings of the 13th …, 2020 - dl.acm.org
A myriad of IoT devices such as bulbs, switches, speakers in a smart home environment
allow users to easily control the physical world around them and facilitate their living styles …

FlowPic: A generic representation for encrypted traffic classification and applications identification

T Shapira, Y Shavitt - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
Identifying the type of a network flow or a specific application has many advantages, such
as, traffic engineering, or to detect and prevent application or application types that violate …