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Hinky: Defending Against Text-based Message Spam on Smartphones

Abdelkader Lahmadi 1 Laurent Delosière 1 Olivier Festor 1 
1 MADYNES - Management of dynamic networks and services
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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 positives and limiting the storage space. We show that a content hashing based approach provides better lookup than a bloom filter with the same storage space and false positive probability close to $10^{-9}$.
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Submitted on : Saturday, May 21, 2011 - 2:38:09 PM
Last modification on : Saturday, June 25, 2022 - 7:40:38 PM
Long-term archiving on: : Saturday, December 3, 2016 - 7:16:30 AM


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  • HAL Id : inria-00594854, version 1



Abdelkader Lahmadi, Laurent Delosière, Olivier Festor. Hinky: Defending Against Text-based Message Spam on Smartphones. IEEE International Conference on Communications ICC2011, Jun 2011, Kyoto, Japan. ⟨inria-00594854⟩



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