標(biāo)題: Titlebook: Data Privacy Management, Cryptocurrencies and Blockchain Technology; ESORICS 2020 Interna Joaquin Garcia-Alfaro,Guillermo Navarro-Arribas,J [打印本頁] 作者: 嚴(yán)厲 時間: 2025-3-21 17:04
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書目名稱Data Privacy Management, Cryptocurrencies and Blockchain Technology被引頻次
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書目名稱Data Privacy Management, Cryptocurrencies and Blockchain Technology讀者反饋
書目名稱Data Privacy Management, Cryptocurrencies and Blockchain Technology讀者反饋學(xué)科排名
作者: 有毒 時間: 2025-3-21 20:55
Joaquin Garcia-Alfaro,Guillermo Navarro-Arribas,Jo作者: arthroscopy 時間: 2025-3-22 00:29
Fairness-Aware Privacy-Preserving Record Linkageer distorts from producing correct predictions with equal probabilities for individuals across different protected groups based on sensitive features (e.g. gender or race). Developing classifiers that are fair with respect to such sensitive features is an important problem for classification in gene作者: 正面 時間: 2025-3-22 08:37
Differentially Private Profiling of Anonymized Customer Purchase Recordse anonymizations, including top/bottom coding, sampling/suppression, and generalization (the fundamental techniques in .-anonymity). These anonymization are modeled by means of simple factors, which allow us to estimate the privacy loss and the mean absolute error under the assumption that the profi作者: Freeze 時間: 2025-3-22 09:11
P-Signature-Based Blocking to Improve the Scalability of Privacy-Preserving Record Linkageking 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 作者: reject 時間: 2025-3-22 13:22
Utility Promises of , in Privacy Preserving Data Mining 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作者: reject 時間: 2025-3-22 18:41 作者: Gingivitis 時間: 2025-3-22 22:41
ArchiveSafe: Mass-Leakage-Resistant Storage from Proof-of-Workts of system behaviour under different file sizes and puzzle difficulty levels. Our keyless encryption technique can be added as a layer . traditional encryption: together they provide strong security against adversaries without the key and resistance against mass decryption by an attacker.作者: EVADE 時間: 2025-3-23 02:32 作者: 受傷 時間: 2025-3-23 06:46 作者: 分期付款 時間: 2025-3-23 10:37
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作者: discord 時間: 2025-3-23 17:01 作者: Rodent 時間: 2025-3-23 18:04
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作者: 起波瀾 時間: 2025-3-23 22:59 作者: 正面 時間: 2025-3-24 06:05 作者: analogous 時間: 2025-3-24 09:23
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 作者: 尖酸一點 時間: 2025-3-24 14:18
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作者: Inordinate 時間: 2025-3-24 18:20
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 作者: ARIA 時間: 2025-3-24 19:52 作者: gospel 時間: 2025-3-25 01:20 作者: 可用 時間: 2025-3-25 06:50 作者: Anhydrous 時間: 2025-3-25 07:33
https://doi.org/10.1007/978-4-431-54246-9amed 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作者: 縮影 時間: 2025-3-25 12:18
https://doi.org/10.1007/978-4-431-54246-9ile minimizing impact on useful non-sensitive information required by IoT services to provide a certain Quality of Service (QoS) on the other hand. Our evaluations over real-world datasets show that our algorithms are effective in maximizing QoS while preserving privacy.作者: dictator 時間: 2025-3-25 16:46 作者: Pedagogy 時間: 2025-3-25 22:39
Data Privacy Management, Cryptocurrencies and Blockchain Technology978-3-030-66172-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 豎琴 時間: 2025-3-26 01:58 作者: Outspoken 時間: 2025-3-26 05:16
978-3-030-66171-7Springer Nature Switzerland AG 2020作者: 細節(jié) 時間: 2025-3-26 08:31
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263002.jpg作者: TAG 時間: 2025-3-26 14:51
Resilience in the Asian Context(PPRL) conducts the linkage in a privacy-preserving context where private and sensitive information about individuals is not compromised. Linking records is considered as a classification task where pairs of records from different databases are classified into matches (i.e. they refer to the same en作者: 一小塊 時間: 2025-3-26 20:53 作者: A簡潔的 時間: 2025-3-26 21:01 作者: 異端 時間: 2025-3-27 04:27 作者: excursion 時間: 2025-3-27 08:35 作者: 混合 時間: 2025-3-27 12:17
Barbara Pusca,Gerhard Lang,Ricarda Kutschera which, if compromised, allows the attacker to decrypt everything, effectively instantly. Security of encrypted data thus becomes a question of protecting the encryption keys. In this paper, we propose using . to construct a ., where decryption of a file is only possible after the requester, whether作者: 笨拙的我 時間: 2025-3-27 16:54
Jill Hanley,Jaime Lenet,Sigalit Gall) locations together with the semantic information associated with their locations. The semantic information captures the type of a location and is usually represented by a semantic tag. Semantic tag sharing increases the threat to users’ . which is already at risk because of location sharing. The 作者: 船員 時間: 2025-3-27 17:55 作者: exceed 時間: 2025-3-27 22:36 作者: 全能 時間: 2025-3-28 02:08
https://doi.org/10.1007/978-4-431-54246-9and outside Europe. In order to achieve high compliance, software developers must consider those privacy and data protection goals defined across the different legal provisions in the GDPR. Prior work has introduced methods to systematically extract taxonomies of privacy requirements out of the GDPR作者: 種屬關(guān)系 時間: 2025-3-28 08:53 作者: allergen 時間: 2025-3-28 11:12
https://doi.org/10.1007/978-4-431-54246-9style authentication has become a new research approach in which the promising idea is to use the location history since it is relatively unique. Even when people live in the same area or have occasional travel, it does not vary from day to day. For Global Positioning System (GPS) data, previous wor作者: Binge-Drinking 時間: 2025-3-28 15:25
Brief Intervention in Primary Health Care. One potential cause of these violations may be the ad hoc nature of the implementation of privacy measures within software systems, which may stem from the poor representation of privacy within many Software Development LifeCycle (SDLC) processes. We propose to give privacy a higher priority withi作者: PAC 時間: 2025-3-28 21:44 作者: Liberate 時間: 2025-3-29 01:22 作者: medium 時間: 2025-3-29 04:02 作者: muscle-fibers 時間: 2025-3-29 09:37 作者: 使絕緣 時間: 2025-3-29 14:15
P-Signature-Based Blocking to Improve the Scalability of Privacy-Preserving Record Linkage including healthcare, national security, businesses, and government services. However, privacy and confidentiality concerns impede the sharing of personal identifying values to conduct linkage across different organizations. Privacy-preserving record linkage (PPRL) techniques have been developed to作者: tendinitis 時間: 2025-3-29 16:44
Utility Promises of , in Privacy Preserving Data Miningoses severe threats to individuals’ privacy because it can be exploited to allow inferences to be made on sensitive data. Researchers have proposed several privacy-preserving data mining techniques to address this challenge. One unique method is by extending anonymisation privacy models in data mini作者: Assault 時間: 2025-3-29 19:51
Multi-criteria Optimization Using ,-diversity and ,-closeness for ,-anonymizationlements. This principle guarantees a good privacy while limiting the data alteration. Within the .-anonymization process, only quasi-identifier attributes are considered. Sensitive attributes are not. As a consequence, in .-anonymous tables, sensitive values might be disclosed. Thus, the concepts of作者: BET 時間: 2025-3-30 02:50 作者: 享樂主義者 時間: 2025-3-30 06:36 作者: 落葉劑 時間: 2025-3-30 09:27 作者: browbeat 時間: 2025-3-30 13:35
Extracting Speech from Motion-Sensitive Sensorsuestions about the impact of these technologies on our society. One of the commonly used technologies are Smart Phones and similar mobile communication devices which attract people to improve their quality of life. These devices are equipped with rich sensors that provide an advanced and comprehensi