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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
書目名稱Data Privacy Management, Cryptocurrencies and Blockchain Technology影響因子(影響力)




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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年度引用




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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




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