標(biāo)題: Titlebook: Algorithms for Data and Computation Privacy; Alex X. Liu,Rui Li Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive [打印本頁] 作者: Awkward 時間: 2025-3-21 16:54
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作者: 觀點(diǎn) 時間: 2025-3-21 22:43 作者: cogent 時間: 2025-3-22 04:15
Nearest Neighbor Queries over Encrypted Data invertible matrices to encrypt data, is a widely adopted Secure Nearest Neighbor (SNN) query scheme. Encrypting data by matrices is actually a linear combination of the multiple dimensions of the data, which is completely consistent with the relationship between the source signals and observed sign作者: overrule 時間: 2025-3-22 05:42
K-Nearest Neighbor Queries Over Encrypted Datats near his/her current location. For some small or medium location service providers, they may rely on commercial cloud services, e.g., Dropbox, to store the tremendous geospatial data and deal with a number of user queries. However, it is challenging to achieve a secure and efficient location-base作者: Arctic 時間: 2025-3-22 09:15
Top-k Queries for Two-Tiered Sensor Networksetween sensors and the sink, could be compromised and allow attackers to learn sensitive data and manipulate query results. Prior schemes on secure query processing are weak because they reveal non-negligible information and therefore, attackers can statistically estimate the data values using domai作者: 設(shè)施 時間: 2025-3-22 13:24 作者: aviator 時間: 2025-3-22 20:54
Privacy Preserving Quantification of Cross-Domain Network Reachabilityes across the network. While quantifying network reachability within one administrative domain is a difficult problem in itself, performing the same computation across a network spanning multiple administrative domains presents a novel challenge. The problem of quantifying network reachability acros作者: Contend 時間: 2025-3-22 21:49
Cross-Domain Privacy-Preserving Cooperative Firewall Optimizationr to accept or discard the packet based on its policy. Optimizing firewall policies is crucial for improving network performance. Prior work on firewall optimization focuses on either intra-firewall or inter-firewall optimization within one administrative domain where the privacy of firewall policie作者: 江湖郎中 時間: 2025-3-23 01:58
Privacy Preserving String Matching for Cloud Computingata stored on cloud servers. While encryption of data provides sufficient protection, it is challenging to support rich querying functionality, such as ., over the encrypted data. In this work, we present the first ever symmetric key based approach to support privacy preserving string matching in cl作者: 艦旗 時間: 2025-3-23 07:14 作者: LIKEN 時間: 2025-3-23 11:41 作者: 泛濫 時間: 2025-3-23 16:47
Predictable Privacy-Preserving Mobile Crowd Sensinging mobile crowd sensing, which we envision to have the capability to quantify the privacy protections, while also allowing application users to predict the utility loss at the same time. The . algorithm is first proposed to protect the private data against data reconstruction attacks. To understand作者: hypnotic 時間: 2025-3-23 20:14 作者: 策略 時間: 2025-3-24 01:03 作者: arboretum 時間: 2025-3-24 05:20
Range Queries over Encrypted Datacheme is secure under the widely adopted IND-CKA security model. We propose two algorithms, namely PBtree traversal width minimization and PBtree traversal depth minimization, to improve query processing efficiency. We prove that the worst case complexity of our query processing algorithm using PBtr作者: Heart-Attack 時間: 2025-3-24 10:29 作者: Interregnum 時間: 2025-3-24 12:26 作者: 細(xì)絲 時間: 2025-3-24 18:55
Top-k Queries for Two-Tiered Sensor Networksitem into an interval and attach the partition information with the data. The attached information ensures that the sink can verify the integrity of query results. We formally prove that our scheme is secure under IND-CKA security model. Our experimental results on real-life data show that our appro作者: 殺死 時間: 2025-3-24 19:15 作者: Alopecia-Areata 時間: 2025-3-25 01:58
Privacy Preserving Quantification of Cross-Domain Network Reachabilityivacy of the individual ACLs. This protocol can accurately determine the network reachability along a network path through different administrative domains. We have implemented and evaluated our protocol on both real and synthetic ACLs. The experimental results show that the on-line processing time 作者: 漫不經(jīng)心 時間: 2025-3-25 03:33 作者: 串通 時間: 2025-3-25 10:30
Privacy Preserving String Matching for Cloud Computinghms achieve pattern search in less than a few milliseconds with 100% accuracy. Furthermore, we also describe a relevance ranking algorithm to return the most relevant documents to the user based on the pattern query. Our ranking algorithm achieves 90%?+?above precision in ranking the returned docume作者: mutineer 時間: 2025-3-25 15:22
Privacy Preserving Information Hub Identification in Social Networksctiveness of our proposed technique using three real-world data set; The first two are Facebook data sets containing about six million users and more than 40 million friendship links. The third data set is from Twitter and comprises of a little over two million users. The results of our analysis sho作者: 聲明 時間: 2025-3-25 16:10 作者: 弄皺 時間: 2025-3-26 00:00 作者: 手榴彈 時間: 2025-3-26 02:36 作者: generic 時間: 2025-3-26 05:36 作者: cleaver 時間: 2025-3-26 08:36 作者: creditor 時間: 2025-3-26 13:38 作者: interlude 時間: 2025-3-26 19:32 作者: 向下 時間: 2025-3-26 21:28 作者: 憤怒歷史 時間: 2025-3-27 04:38
https://doi.org/10.1007/978-3-662-56664-0 numbers to each other. Then, we present the VGuard framework that uses Xhash as the basic building block. The basic idea of VGuard is to first convert a firewall policy to non-overlapping numerical rules and then use Xhash to check whether a request matches a rule. Comparing with the Cross-Domain C作者: 咯咯笑 時間: 2025-3-27 06:58
https://doi.org/10.1007/978-3-662-56664-0ivacy of the individual ACLs. This protocol can accurately determine the network reachability along a network path through different administrative domains. We have implemented and evaluated our protocol on both real and synthetic ACLs. The experimental results show that the on-line processing time 作者: Charitable 時間: 2025-3-27 10:39 作者: Reservation 時間: 2025-3-27 17:24 作者: hereditary 時間: 2025-3-27 18:20 作者: 費(fèi)解 時間: 2025-3-27 23:05
https://doi.org/10.1007/978-3-322-89587-5rix. In this chapter, we first prove that random projection plus random perturbation preserve differential privacy, and also that the random noise required to achieve differential privacy is small. We validate the proposed approach and evaluate the utility of the published data for three different a作者: 失望未來 時間: 2025-3-28 03:35
,Resümee und weiterführende überlegungen,rage, histogram, and classifiers. Finally, we propose and implement the .. application framework. Both measurement results using online datasets and real-world case studies show that the .. provides accurate risk assessments and utility estimations, which makes it a promising framework to support fu作者: 不規(guī)則 時間: 2025-3-28 08:43
https://doi.org/10.1007/978-3-658-10440-5the asymptotic regret bounds achieved by prior BMAB algorithms. We performed side-by-side comparisons with prior schemes in our experiments. Experimental results show that our algorithm not only achieves significantly better regret performance, but also is more than 20 times faster than prior BMAB s作者: 龍蝦 時間: 2025-3-28 12:50
https://doi.org/10.1007/978-3-662-67891-6For slightly larger candidate set size of 20, COLD achieves almost 100% hit rate. In contrast, a baseline method using time series correlation could only achieve less than 5% hit rate for similar candidate set sizes.作者: beta-cells 時間: 2025-3-28 17:42 作者: ETCH 時間: 2025-3-28 19:27
European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world...This book targets database engineers, cloud computing engineers and researchers working in thi978-3-030-58898-4978-3-030-58896-0作者: 中止 時間: 2025-3-29 02:10 作者: 小步舞 時間: 2025-3-29 05:05 作者: 無能的人 時間: 2025-3-29 07:55 作者: 完成才能戰(zhàn)勝 時間: 2025-3-29 13:09
https://doi.org/10.1007/978-94-015-0595-6lic clouds in a privacy preserving manner. No prior Searchable Symmetric Encryption (SSE) based privacy-preserving conjunctive query processing scheme satisfies the three requirements of adaptive security, efficient query processing, and scalable index size. In this chapter, we propose the first pri作者: Stricture 時間: 2025-3-29 18:48 作者: endure 時間: 2025-3-29 21:23
https://doi.org/10.1007/978-3-642-58549-4ts near his/her current location. For some small or medium location service providers, they may rely on commercial cloud services, e.g., Dropbox, to store the tremendous geospatial data and deal with a number of user queries. However, it is challenging to achieve a secure and efficient location-base作者: electrolyte 時間: 2025-3-30 02:06 作者: 血統(tǒng) 時間: 2025-3-30 05:07 作者: 時代錯誤 時間: 2025-3-30 09:31
