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Titlebook: Digital Forensics and Cyber Crime; 12th EAI Internation Pavel Gladyshev,Sanjay Goel,Daryl Johnson Conference proceedings 2022 ICST Institut

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41#
發(fā)表于 2025-3-28 17:46:57 | 只看該作者
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發(fā)表于 2025-3-28 21:19:19 | 只看該作者
978-3-031-06364-0ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2022
43#
發(fā)表于 2025-3-29 00:29:43 | 只看該作者
,Cheating Sensitive Security Quantum Bit Commitment with?Security Distance Function,ment protocol by introducing security distance function. Theoretical analysis shows that our protocol can guarantee the qubit commitment process is secure and has better performance than existing protocols in robustness. Since our protocol is simpler and more practical, it is feasible with current technologies.
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發(fā)表于 2025-3-29 04:38:42 | 只看該作者
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發(fā)表于 2025-3-29 09:47:17 | 只看該作者
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發(fā)表于 2025-3-29 11:28:57 | 只看該作者
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發(fā)表于 2025-3-29 17:56:48 | 只看該作者
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發(fā)表于 2025-3-29 20:58:04 | 只看該作者
,Find My IoT Device – An Efficient and?Effective Approximate Matching Algorithm to?Identify IoT Trafse, and hence cheap. However, their profitability comes with the difficulty to patch them. Moreover, the IoT topology is often not well documented, too. Thus IoT devices form a popular attack vector in networks. Due to the widespread missing documentation vulnerable IoT network components must be qu
49#
發(fā)表于 2025-3-30 01:14:59 | 只看該作者
50#
發(fā)表于 2025-3-30 07:53:56 | 只看該作者
Research on the Method of Selecting the Optimal Feature Subset in Big Data for Energy Analysis Attare points is an important factor that affects the machine learning model, how to choose the optimal feature subset is a key factor related to the success or failure of energy analysis attack. AES algorithm emphasizes to increase the complexity of encrypted data by a large number of encryption rounds
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