Traffic Analysis Resistant Network (TARN) Anonymity Analysis
Nathan Tusing, Jonathan Oakley, Geddings Barrineau, Lu Yu, Kuang‐Ching Wang, Richard R. Brooks · 2019
We proposed a Traffic Analysis Resistant Network (TARN) that randomizes IP addresses in a fashion similar to Frequency Hop Spread Spectrum (FHSS), allowing users to blend into background traffic. IP hopping alone is not enough. TARN may still be susceptible to side-channel analysis. To remove the vulnerabilities, we introduce a SDX-based solution. In this work, we describe the design and implementation of TARN and experimental environment used to test TARN.