Organonitrile 发表于 2025-3-23 11:34:40
Theodor Nasemann,Wolfhard Sauerbreyea is to map the public key down to the subfield (by norm and trace map respectively) and hence obtain a lattice of smaller dimension for which a lattice reduction algorithm is efficiently applicable. At Eurocrypt 2017, Kirchner and Fouque proposed another variant attack which exploits the presence脖子 发表于 2025-3-23 15:50:25
Theodor Nasemann,Wolfhard Sauerbreyat the functionality of the original scheme is maintained, while it is infeasible for an adversary to remove the mark (unremovability) or mark a fresh object without the marking key (unforgeability). Cohen et al. has provided constructions for watermarking arbitrary cryptographic functionaanus928 发表于 2025-3-23 19:34:00
http://reply.papertrans.cn/59/5841/584090/584090_13.png闪光你我 发表于 2025-3-24 01:12:53
Theodor Nasemann,Wolfhard Sauerbreyat the functionality of the original scheme is maintained, while it is infeasible for an adversary to remove the mark (unremovability) or mark a fresh object without the marking key (unforgeability). Cohen et al. has provided constructions for watermarking arbitrary cryptographic functionaINCUR 发表于 2025-3-24 04:45:34
Theodor Nasemann,Wolfhard Sauerbreyertext-policy . schemes can choose the policy at the encryption time, contrarily to key-policy . schemes that specify the policy at the key generation time, for each user..In this paper, we define a new property for ., on top of a ciphertext-policy . scheme: homomorphic-policy. A combiner is able to只有 发表于 2025-3-24 07:18:03
http://reply.papertrans.cn/59/5841/584090/584090_16.pngVALID 发表于 2025-3-24 14:28:23
http://reply.papertrans.cn/59/5841/584090/584090_17.pngflorid 发表于 2025-3-24 17:18:21
http://reply.papertrans.cn/59/5841/584090/584090_18.pngexpound 发表于 2025-3-24 21:16:26
Theodor Nasemann,Wolfhard Sauerbreyadopted as a particular supporting technique over the last years. However, the majority of related published work uses post mortem log files and fails to address the required real-time capabilities of network data feature extraction and machine learning based analysis [.,.,.,.,.]. We introduce the n整体 发表于 2025-3-25 01:10:10
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