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We present a defense platform against text-based message SPAM on SmartPhones. We focus in particular on Short Message Service (SMS) based SPAM. Our solution relies on a social network based collaborative approach to filter this type of spam using Bloom filters and content hashing. We detail the design of the supporting framework and validate its efficiency in minimizing false positive and limiting the storage space.