CSRF and Big Data
Rethinking Cross-Site Request Forgery in Light of Big Data
Maria Angel Marquez-Andrade, Hamzeh Roumani and Natalija Vlajic, York University, Toronto, ON, Canada
In the realm of Big Data analytics, a critical yet often overlooked issue is that of (big) data integrity and accuracy. Namely, the largest generators of Big Data—the major social and media sites—are known to be the most frequent and most attractive victims to various forms of security attacks and social engineering ploys. Almost by rule, the ultimate collateral victim of these attacks is the contextual integrity of the data being stored at or collected out of the target sites. One such form of attack, which is particularly potent when it comes to the compromise ...
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