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.


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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