Up to 80 percent of certain anonymous underground forum users can be identified using linguistics, researchers say.

The techniques compare user posts to track them across forums and could even unveil authors of thesis papers or blogs who had taken to underground networks.

“If our dataset contains 100 users we can at least identify 80 of them,” researcher Sadia Afroz told an audience at the 29C3 Chaos Communication Congress in Germany.

“Function words are very specific to the writer. Even if you are writing a thesis, you’ll probably use the same function words in chat messages.

“Even if your text is not clean, your writing style can give you away.”

The analysis techniques could also reveal botnet owners, malware tool authors and provide insight into the size and scope of underground markets, making the research appealing to law enforcement.
[Linguistics identifies anonymous users sur CSMagazine.com.au]

Il serait donc vain de se cacher derrière des communications chiffrées.

La solution ? Développer un outil capable de normaliser un texte qu’on lui fournit. Un peu comme les logiciels de synthèse vocale, qui empêchent l’identification des personnes via l’audio.