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Titlebook: Applications and Techniques in Information Security; 13th International C Srikanth Prabhu,Shiva Raj Pokhrel,Gang Li Conference proceedings

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樓主: Iodine
41#
發(fā)表于 2025-3-28 15:24:57 | 只看該作者
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發(fā)表于 2025-3-28 20:23:31 | 只看該作者
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發(fā)表于 2025-3-29 02:00:54 | 只看該作者
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發(fā)表于 2025-3-29 05:08:30 | 只看該作者
Emissive Materials - NanomaterialsSince 2017 it has been widely used and was previously the most serious threat to network security. Because of the number of malicious actors has increased there is a recent increase in the value of cryptocurrencies. The availability of bit-coin mining software has grown significantly. Mining for cry
45#
發(fā)表于 2025-3-29 08:33:30 | 只看該作者
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發(fā)表于 2025-3-29 13:46:36 | 只看該作者
Jane Austen: Life and Background, are used to monitor and measure vital parameters, process them, transfer them to the wearable device controller. If an attacker tries to alter the information, the confidentiality of the data is lost and also it could prove fatal to the person to whom the data belongs to. The paper focuses on achie
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發(fā)表于 2025-3-29 17:32:23 | 只看該作者
48#
發(fā)表于 2025-3-29 23:20:05 | 只看該作者
Husserl and the Problem of Ontology, for a family with people involving different age groups and different interests. Therefore a content based filtering scheme with cosine similarity based recommendation, considering interest of a group of people is proposed here. The system also ensures privacy of the users by generating hash code o
49#
發(fā)表于 2025-3-30 03:37:11 | 只看該作者
https://doi.org/10.1007/978-94-010-2044-2poses face recognition and verification of two-dimensional(2D) images by a feature extraction algorithm which involves identifying anthropological facial feature points and calculating the Euclidean Distance (ED) between these points (ED-FFP) as these distances, if required can be used as an objecti
50#
發(fā)表于 2025-3-30 04:07:45 | 只看該作者
The G?ttingen Period (1915–1933)nges in the structural level also open new dimensions that are susceptible to cyber-attacks. One of the efficient methods to tackle these situations is to apply intelligence to the systems and detect abnormal behaviours. As privacy plays a vital role, here Federated Learning method is used to detect
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