不规则的跳动
发表于 2025-3-23 11:29:33
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善于
发表于 2025-3-23 15:59:52
,A New Construction of Leakage-Resilient Identity-Based Encryption Scheme,ctice because of various leakage attacks. Therefore, the leakage resilience property should be considered in designing these primitives. However, in identity-based cryptography, most of the existing leakage-resilient identity-based encryption (IBE) schemes suffer some limitations: they either resist
Dendritic-Cells
发表于 2025-3-23 21:39:45
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BADGE
发表于 2025-3-23 22:56:56
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Accolade
发表于 2025-3-24 06:26:46
,Breaking GEA-Like Stream Ciphers with Lower Time Cost,ed version of GEA-2 proposed recently. In this paper, new weaknesses of GEA-like stream ciphers (i.e., GEA-1, GEA-2 and GEA-2a) are discovered and analyzed. As the technical contribution, an automatic algorithm is proposed to search for differential paths of full GEA-like stream ciphers. By this aut
细节
发表于 2025-3-24 08:53:21
SNIPER: Detect Complex Attacks Accurately from Traffic,me processes of APT attacks inevitably expose behavioral beacons in traffic, which makes it possible to detect APT attacks from traffic. Unlike deploying attack detectors at end devices or critical servers, anomaly detection at the network entrance provides a larger monitoring field but has to bear
爵士乐
发表于 2025-3-24 13:47:18
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delegate
发表于 2025-3-24 17:38:51
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OVERT
发表于 2025-3-24 21:47:50
,Parallel Implementation of Sieving Algorithm on Heterogeneous CPU-GPU Computing Architectures,ely utilize either CPUs or GPUs. This paper introduces a novel sieving approach tailored to CPU+GPU heterogeneous computing platforms. We constructed a runtime system capable of concurrently executing both CPU and GPU versions of the sieving algorithm. The GPU version of the sieving algorithm reduce
Excitotoxin
发表于 2025-3-25 00:09:29
,Unveiling the Efficacy of BERT’s Attention in Memory Obfuscated Malware Detection, by targeting a system’s volatile memory. By leveraging transformer-based models, notably BERT, the research demonstrates promising advancements in malware detection. Through data augmentation and rigorous feature selection processes, the study enhances the CIC-MlMem-2022 dataset, improving its qual