RadioNet: Robust deep-learning based radio fingerprinting

H Li, K Gupta, C Wang, N Ghose… - 2022 IEEE Conference …, 2022 - ieeexplore.ieee.org
Radio fingerprinting identifies wireless devices by leveraging hardware imperfections
embedded in radio frequency (RF) signals. While neural networks have been applied to …

[PDF][PDF] Packet-level open-world app fingerprinting on wireless traffic

J Li, S Wu, H Zhou, X Luo, T Wang, Y Liu… - The 2022 Network and …, 2022 - par.nsf.gov
Mobile apps have profoundly reshaped modern lifestyles in different aspects. Several
concerns are naturally raised about the privacy risk of mobile apps. Despite the prevalence …

A survey on deep learning for website fingerprinting attacks and defenses

P Liu, L He, Z Li - IEEE Access, 2023 - ieeexplore.ieee.org
The attacks and defenses on the information of which website pages are visited by users are
important research subjects in the field of privacy enhancing technologies, they are termed …

SMART: A lightweight and reliable multi-path transmission model against website fingerprinting attacks

L Liu, N Hu, C Shan, Y Jiang, X Liu - Electronics, 2023 - mdpi.com
The rapid development of IoT technology has promoted the integration of physical space
and cyberspace. At the same time, it has also increased the risk of privacy leakage of …

CBD: A deep-learning-based scheme for encrypted traffic classification with a general pre-training method

X Hu, C Gu, Y Chen, F Wei - Sensors, 2021 - mdpi.com
With the rapid increase in encrypted traffic in the network environment and the increasing
proportion of encrypted traffic, the study of encrypted traffic classification has become …

[PDF][PDF] Twitch Chat Fingerprinting.

D Hasselquist, C Vestlund, N Johansson, N Carlsson - TMA, 2022 - ida.liu.se
The streaming content that we choose to watch can reveal much about our thoughts,
opinions, and interests. An adversary capable of determining what users watch therefore …

MAC-layer traffic shaping defense against WiFi device fingerprinting attacks

M Alyami, M Alkhowaiter, M Al Ghanim… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
WiFi networks are vulnerable to statistical traffic analysis attacks, even when a WiFi network
is securely encrypted and the attacker is unable to join the network. Many defenses …

Deep nearest neighbor website fingerprinting attack technology

M Guo, J Fei, Y Meng - Security and Communication Networks, 2021 - Wiley Online Library
By website fingerprinting (WF) technologies, local listeners are enabled to track the specific
website visited by users through an investigation of the encrypted traffic between the users …

Lightweight fingerprint attack and encrypted traffic analysis on news articles

D Hasselquist, M Lindblom… - 2022 IFIP Networking …, 2022 - ieeexplore.ieee.org
The news articles we read online can reveal a lot about us. Privacy aware groups have
therefore long pushed for the use of HTTPS (encrypted end-to-end communication). In this …

Deepse-wf: Unified security estimation for website fingerprinting defenses

A Veicht, C Renggli, D Barradas - arXiv preprint arXiv:2203.04428, 2022 - arxiv.org
Website fingerprinting (WF) attacks, usually conducted with the help of a machine learning-
based classifier, enable a network eavesdropper to pinpoint which web page a user is …