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Traditional collaborative filtering based recommender systems for social network systems bring very high demands on time complexity due to computing similarities of all pairs of users via resource usages and annotation actions, which thus strongly suppresses recommending speed. In this paper, to overcome this drawback, we propose a novel approach, namely coarse cluster that partitions similar users...
We show in this paper that if the primes share their some bits (e.g. Least-Significant bits), RSA system with small private-exponent is much more vulnerable to the Boneh-Durfee Attack.
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