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Titlebook: Applied Cryptography and Network Security; 22nd International C Christina P?pper,Lejla Batina Conference proceedings 2024 The Editor(s) (if

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發(fā)表于 2025-3-21 16:19:46 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Cryptography and Network Security
期刊簡稱22nd International C
影響因子2023Christina P?pper,Lejla Batina
視頻videohttp://file.papertrans.cn/160/159744/159744.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Applied Cryptography and Network Security; 22nd International C Christina P?pper,Lejla Batina Conference proceedings 2024 The Editor(s) (if
影響因子The 3-volume set LNCS 14583-14585 constitutes the proceedings of the?22nd International Conference on?Applied Cryptography and Network Security, ACNS 2024, which took place in? Abu Dhabi, UAE, in March 2024.?.The 54 full papers included in these proceedings were carefully reviewed and selected from 230 submissions. They have been organized in topical sections as follows:?.Part I: Cryptographic protocols; encrypted data; signatures;?.Part II: Post-quantum; lattices; wireless and networks; privacy and homomorphic encryption; symmetric crypto;?.Part III: Blockchain; smart infrastructures, systems and software; attacks; users and usability..
Pindex Conference proceedings 2024
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發(fā)表于 2025-3-21 23:45:27 | 只看該作者
Programmable Payment Channelshe contract. In this paper, we make the following contributions:.We note that our implementations of . and . depend on the CREATE2 opcode which allows one to compute the deployment address of a contract (without having to deploy it).
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“Hello? Is There Anybody in?There?” Leakage Assessment of?Differential Privacy Mechanisms in?Smart M data. In this paper, we propose a novel statistical methodology, constructed using the principles of . based hypothesis testing, to .. Additionally, we formally establish that this trade-off is an inherent characteristic of the smart metering problem, implying that any mechanism adhering to this tr
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ProvIoT : Detecting Stealthy Attacks in?IoT through Federated Edge-Cloud Security detection in IoT devices. ProvIoT applies federated learning techniques to overcome data and privacy limitations while minimizing network overhead. Infrequent on-device training of the local model requires less than 10% CPU overhead; syncing with the global models requires sending and receiving .2M
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發(fā)表于 2025-3-22 22:38:17 | 只看該作者
Time Is Money, Friend! Timing Side-Channel Attack Against Garbled Circuit Constructions attack against commonly employed garbled circuit frameworks. Goblin is a machine learning-assisted, non-profiling, single-trace timing side-channel attack (SCA), which successfully recovers the garbler’s input during the computation under different scenarios, including various garbling frameworks,
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