Living-Will
发表于 2025-3-26 22:15:00
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向下五度才偏
发表于 2025-3-27 01:42:29
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镇痛剂
发表于 2025-3-27 06:10:27
Pierre Lemée,Raphaël Charron,Arnaud BridierAttack Analyzer (Indicators Of Attack)” rules describing security incidents (signatures) using Sigma language and integrated with the MITRE ATT &CK database. The developed technique allows mapping the events detected in the system under analysis to the MITRE ATT &CK attack patterns and in prospect f
incision
发表于 2025-3-27 10:25:33
,The Final Round: Benchmarking NIST LWC Ciphers on Microcontrollers,e-art to the novel LWC ciphers. Our research gives an overview over the performance of the latest software implementations of the NIST LWC finalists and shows under which circumstances which candidate is performing the best in our individual test cases. Additionally, we make all benchmarking results
嬉耍
发表于 2025-3-27 14:23:09
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BIAS
发表于 2025-3-27 18:30:00
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Vldl379
发表于 2025-3-28 01:13:19
,Constraints and Evaluations on Signature Transmission Interval for Aggregate Signatures with Interathat the time required for the feedback is 605.3 ms for a typical parameter setting, which indicates that if the acceptable feedback time is significantly larger than a few hundred ms, the existing FT-AS scheme would effectively work in such systems. However, there are situations where such feedback
卵石
发表于 2025-3-28 04:30:07
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豪华
发表于 2025-3-28 09:53:59
,Effective Segmentation of RSSI Timeseries Produced by Stationary IoT Nodes: Comparative Study, must consider breaking down a given RSSI dataset into its constituting sub-segments. Unfortunately, the effect of environmental variables on RSSI values tend to be random, which makes the problem of RSSI timeseries segmentation even more challenging. Thus, it is necessary to study the effectiveness
垫子
发表于 2025-3-28 13:30:18
,Resource Efficient Federated Deep Learning for IoT Security Monitoring,ed edge nodes. The performance was evaluated using various realistic IoT and non-IoT benchmark datasets on virtual and testbed environments build with GB-BXBT-2807 edge-computing-like devices. The experimental results show that the proposed method can reduce memory usage by 81% in the simulated envi