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Titlebook: Information Security Practice and Experience; 18th International C Weizhi Meng,Zheng Yan,Vincenzo Piuri Conference proceedings 2023 The Edi

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樓主: Amalgam
61#
發(fā)表于 2025-4-1 03:06:16 | 只看該作者
,: A Secure Remote-Control System for?IoT Devices from?Centralized Multi-designated Verifier Signatu membership query structures and digital signatures, yielding compact communication sizes and efficient verification procedures for .. We then discuss the feasibility of .?through cryptographic implementation of the CMDVS construction on a Raspberry Pi. Our promising results demonstrate that the CMD
62#
發(fā)表于 2025-4-1 09:16:56 | 只看該作者
CVAR-FL IoV Intrusion Detection Framework,strategy based on elliptic curve cryptography (ECC) based ciphertext-policy ABE (CP-ABE) to protect the data exchange between RSU and vehicles, thus improving the efficiency and confidentiality of network communication. Finally, we verify the effectiveness of the proposed scheme through experiments
63#
發(fā)表于 2025-4-1 12:52:09 | 只看該作者
64#
發(fā)表于 2025-4-1 14:38:21 | 只看該作者
,QR-SACP: Quantitative Risk-Based Situational Awareness Calculation and?Projection Through Threat Inpagation or recurrence of the threat in other network services in three ways: procedurally, through network connections and similar infrastructure or services. Experimental results demonstrate that the QR-SACP method can calculate and project definite and probable threats’ effects across the entire
65#
發(fā)表于 2025-4-1 18:59:56 | 只看該作者
,Dynamic Trust Boundary Identification for?the?Secure Communications of?the?Entities via?6G, entities in 6G, in this paper, we propose a mechanism to identify dynamic and multiple trust boundaries based on trust values and geographical location coordinates of 6G communication entities. Our proposed mechanism uses unsupervised clustering and splitting and merging techniques. The experimenta
66#
發(fā)表于 2025-4-1 22:59:29 | 只看該作者
,RTR-Shield: Early Detection of?Ransomware Using Registry and?Trap Files,onstructed based on the study of different directories that the ransomware initially access and deploy trap files at strategic locations. In our evaluation, RTR-Shield demonstrates its efficacy in detecting and blocking ransomware activity during the initial stages of encryption, even for previously
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