IEEE

BPF-GNN: A Multi-Granularity Feature Extraction Model Using Graph Neural Networks for Encrypted Traffic Classification

Abstract: Encrypted traffic classification is crucial for critical network management tasks such as traffic type identification, resource allocation, and risk mitigation, especially given that ...
techtimes

Signal Phishing Attack Steals Backup Keys, Exposing Full Encrypted Chat History

Hackers launched a new phishing campaign this week targeting Signal users — specifically journalists, anti-Chinese Communist Party activists, and human rights workers — with fraudulent text messages ...
IEEE

Towards Robust Detection of Malicious Encrypted Traffic Using Only Low-Quality Training Data

Abstract: Machine learning (ML) is promising in accurately detecting malicious flows in encrypted network traffic; however, it is challenging to collect a training dataset that contains a sufficient ...
Lifehacker

Use One of These Apps to Encrypt Your Calls, Because Your Phone Won’t

Emily Long is a freelance writer based in Salt Lake City. After graduating from Duke University, she spent several years reporting on the federal workforce for Government Executive, a publication of ...