3 papers
cs.CR2026
Beyond Classification Accuracy: Quantifying Fingerprint Complexity in Encrypted Darknet Services
Javeriah Saleem, Rafiqul Islam, Md Zahidul Islam
Existing darknet traffic studies primarily evaluate service fingerprintability through classification performance, providing limited insight into why certain services are easier or…
cs.CR2026
Open-World Darknet Traffic Recognition Under Leave-One-Service-Out Evaluation
Javeriah Saleem, Rafiqul Islam, Md Zahidul Islam
Darknet traffic recognition is critical for cyber threat intelligence, as anonymity networks are often used to conceal malicious activity. However, most existing studies rely on cl…
cs.CR2026
Behavioral Information Leakage in Darknet Traffic: A Multi-Channel Analysis Across Anonymity Networks
Javeriah Saleem, Rafiqul Islam, Md Zahidul Islam
Existing darknet traffic classification studies largely emphasize predictive accuracy while offering limited insight into the behavioral mechanisms that make encrypted services dis…