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Titlebook: Engineering Secure Software and Systems; 4th International Sy Gilles Barthe,Benjamin Livshits,Riccardo Scandaria Conference proceedings 201

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發(fā)表于 2025-3-23 13:41:58 | 只看該作者
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發(fā)表于 2025-3-23 18:37:31 | 只看該作者
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發(fā)表于 2025-3-23 22:26:51 | 只看該作者
Optimal Trust Mining and Computing on Keyed MapReduce,ing two-fold contributions:.In the first fold, a general method for trust mining is introduced and formalized in the context of keyed MapReduce functions. A keyed MapReduce function is a classic MapReduce function associated with a common reference keyword set so that a document is projected on the
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發(fā)表于 2025-3-24 03:07:37 | 只看該作者
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發(fā)表于 2025-3-24 06:51:43 | 只看該作者
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發(fā)表于 2025-3-24 12:36:54 | 只看該作者
Optimal Trust Mining and Computing on Keyed MapReduce,ood distribution. A look-up table generated in the trust mining stage is now viewed as the current state of the target server and then the maximum likelihood distribution over the look-up table is deduced. We show that the proposed trust computing mechanism is optimal (an upper bound of trust values
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發(fā)表于 2025-3-24 17:58:31 | 只看該作者
19#
發(fā)表于 2025-3-24 21:05:06 | 只看該作者
Wang Qingfen,Zhang Jianhui,Xu Kuangdier) encryption algorithm, based on the feedback on previous executions of encryption processes. This is particularly important for systems with high degree of complexity which are hard to analyze statistically.
20#
發(fā)表于 2025-3-25 02:23:29 | 只看該作者
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