找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Cyber Security Cryptography and Machine Learning; Third International Shlomi Dolev,Danny Hendler,Moti Yung Conference proceedings 2019 Spr

[复制链接]
查看: 28872|回复: 61
发表于 2025-3-21 18:35:41 | 显示全部楼层 |阅读模式
书目名称Cyber Security Cryptography and Machine Learning
副标题Third International
编辑Shlomi Dolev,Danny Hendler,Moti Yung
视频videohttp://file.papertrans.cn/242/241742/241742.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Cyber Security Cryptography and Machine Learning; Third International  Shlomi Dolev,Danny Hendler,Moti Yung Conference proceedings 2019 Spr
描述.This book constitutes the refereed proceedings of the Third International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019, held in Beer-Sheva, Israel, in June 2019..The 18 full and 10 short papers presented in this volume were carefully reviewed and selected from 36 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas..
出版日期Conference proceedings 2019
关键词artificial intelligence; authentication; communication; computer crime; computer networks; computer opera
版次1
doihttps://doi.org/10.1007/978-3-030-20951-3
isbn_softcover978-3-030-20950-6
isbn_ebook978-3-030-20951-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

书目名称Cyber Security Cryptography and Machine Learning影响因子(影响力)




书目名称Cyber Security Cryptography and Machine Learning影响因子(影响力)学科排名




书目名称Cyber Security Cryptography and Machine Learning网络公开度




书目名称Cyber Security Cryptography and Machine Learning网络公开度学科排名




书目名称Cyber Security Cryptography and Machine Learning被引频次




书目名称Cyber Security Cryptography and Machine Learning被引频次学科排名




书目名称Cyber Security Cryptography and Machine Learning年度引用




书目名称Cyber Security Cryptography and Machine Learning年度引用学科排名




书目名称Cyber Security Cryptography and Machine Learning读者反馈




书目名称Cyber Security Cryptography and Machine Learning读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:40:23 | 显示全部楼层
https://doi.org/10.1007/978-1-349-00905-3ake deciphering of the conventional encryption an easy task. This leads us to propose a scheme for use of QKD (quantum key distribution) which could be effective as a countermeasure. In this paper we will describe the feasibility study of weather effect design guidelines for a small, short range, mobile QKD system from drone to IoT on the ground.
发表于 2025-3-22 03:47:32 | 显示全部楼层
发表于 2025-3-22 06:25:09 | 显示全部楼层
发表于 2025-3-22 09:00:52 | 显示全部楼层
发表于 2025-3-22 16:40:18 | 显示全部楼层
Continuous Key Agreement with Reduced Bandwidth, This is not possible for every KEM and we discuss cases where a KEM can be converted to an MKEM. One example is the quantum-safe proposal BIKE1, where the BIKE-MKEM saves . of the communication bandwidth, compared to the original construction. In addition, we offer the notion and two constructions for hybrid CKA.
发表于 2025-3-22 17:03:55 | 显示全部楼层
发表于 2025-3-22 21:25:28 | 显示全部楼层
发表于 2025-3-23 02:10:02 | 显示全部楼层
发表于 2025-3-23 07:59:02 | 显示全部楼层
Amended Cross-Entropy Cost: An Approach for Encouraging Diversity in Classification Ensemble (Brief ensemble for classification. We also suggest the Stacked Diversified Mixture of Classifiers (SDMC), which is based on our outcome. SDMC is a layer that aims to replace the final layer of a DNN classifier. It can be easily applied on any model, while the cost in terms of number of parameters and computational power is relatively low.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-25 14:34
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表