De-anonymizing social networks


Ακομα και αν δεν εχεις δηλωσει τα πραγματικα σου στοιχεια στο twitter, facebook, flickr etc,η ανωνυμια δεν ειναι εγγυημενη απ οτι φαινεται.

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As for who might care, the authors sketch out a few scenarios:

The strongest adversary is a government-level agency interested in global surveillance. Its objective is large-scale collection of detailed information about as many individuals as possible. Another attack scenario involves abusive marketing. If an unethical company were able to de-anonymize the graph using publicly available data, it could engage in abusive marketing aimed at specific individuals. Phishing and spamming also gain from social-network de-anonymization. Using detailed information about the victim gleaned from his or her de-anonymized social-network profile, a phisher or a spammer will be able to craft a highly individualized, believable message. Yet another category of attacks involves targeted de-anonymization of specific individuals by stalkers, investigators, nosy colleagues, employers, and neighbors.

Η ιδεα δεν ειναι καινουρια μια και σε αντιστοιχη περιπτωση,η AOL ετρεχε και δεν εφτανε οταν εδωσε στο κοινο μια database με search queries 3 μηνων απο την μηχανη αναζητησης της,στην οποια ειχε αλλαξει τα usernames των χρηστων με τυχαιους αριθμους για να προστατεψει την ανωνυμια τους.

Η εργασια των Arvind Narayanan και Dr Vitaly Shmatikov,θα παρουσιαστει στο IEEE Symposium on Security and Privacy(17-20 Μαιου)

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