找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Data Privacy Management, Cryptocurrencies and Blockchain Technology; ESORICS 2020 Interna Joaquin Garcia-Alfaro,Guillermo Navarro-Arribas,J

[復制鏈接]
樓主: 嚴厲
11#
發(fā)表于 2025-3-23 10:37:51 | 只看該作者
PDP-ReqLite: A Lightweight Approach for the Elicitation of Privacy and Data Protection Requirementsamed PDP-ReqLite initially inspired from ProPAn that introduces new artifacts for the documentation of personal data and information flows in a system-to-be. The purpose of PDP-ReqLite is to improve usability and applicability by reducing documentation overhead and complexity, and by introducing mea
12#
發(fā)表于 2025-3-23 17:01:29 | 只看該作者
13#
發(fā)表于 2025-3-23 18:04:08 | 只看該作者
Tracking the Invisible: Privacy-Preserving Contact Tracing to Control the Spread of a Virusd on private set intersection between physical contact histories of individuals (that are recorded using smart phones) and a centralized database (run by a health authority) that keeps the identities of the positively diagnosed patients for the disease. Proposed solution protects the location privac
14#
發(fā)表于 2025-3-23 22:59:41 | 只看該作者
15#
發(fā)表于 2025-3-24 06:05:32 | 只看該作者
16#
發(fā)表于 2025-3-24 09:23:54 | 只看該作者
Community policing in the United Statesking methods proposed to reduce the number of comparisons, they fall short in providing an efficient and effective solution for linking multiple large databases. Further, all private blocking methods are largely dependent on data. In this paper, we propose a novel private blocking method addressing
17#
發(fā)表于 2025-3-24 14:18:51 | 只看該作者
https://doi.org/10.1007/978-3-319-53396-4 protection remains a challenge. In addition to this, existing approaches do not work well with high-dimensional data, since it is difficult to develop good groupings without incurring excessive information loss. Our work aims to overcome these challenges by proposing a hybrid approach, combining se
18#
發(fā)表于 2025-3-24 18:20:07 | 只看該作者
Community Policing - A European Perspectiveable in an anonymization algorithm, that are combinations of minimization of data alteration, maximization of .-diversity and minimization of .-closeness. At the end, this study provides comparative experimental results of these strategies on the ., a commonly used data set within the anonymization
19#
發(fā)表于 2025-3-24 19:52:49 | 只看該作者
20#
發(fā)表于 2025-3-25 01:20:58 | 只看該作者
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 18:10
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
长寿区| 彰化市| 贵州省| 什邡市| 洛阳市| 大英县| 庄浪县| 邮箱| 即墨市| 萍乡市| 东山县| 星座| 涟源市| 太仓市| 巴塘县| 临泉县| 宁乡县| 土默特右旗| 贡山| 巴彦县| 马公市| 原阳县| 哈尔滨市| 神农架林区| 甘泉县| 林口县| 丹江口市| 辽中县| 资兴市| 务川| 乌兰浩特市| 江达县| 巴林左旗| 宜宾县| 宁武县| 晋江市| 许昌县| 郧西县| 六盘水市| 景谷| 聂荣县|