An efficient subscription index for publication matching in the cloud

Cui, Zongmin; Wu, Zongda; Zhou, Caixue; Gao, Guangyong; Yu, Jing; Zhao, Zhiqiang; Wu, Bin

doi:10.1016/j.knosys.2016.07.017

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…Meanwhile, our scheme can be applied to almost all kinds of barrage sentiment analysis with good universality. In additon, the data analysis method proposed in this paper may be used in many scenarios, such as cloud computing [35], publish/subscribe [36], movies reviews [37], data query [38], etc.…”

Section: E Various Kinds Of Barragesmentioning

confidence: 99%

A Barrage Sentiment Analysis Scheme Based on Expression and Tone

et al. 2019

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Most of existing methods do not consider the influence of expression and tone on barrage sentiment analysis. This decreases the effect and accuracy of barrage sentiment analysis. Therefore, we propose a barrage sentiment analysis scheme based on expression and tone. First, we propose a new sentiment dictionary based on expression and tone to increase the effect of barrage sentiment analysis. Second, we propose a new calculation method of sentiment value based on expression and tone for barrage sentiment analysis to increase the accuracy. Meanwhile, we change a single threshold to a threshold range, to expand the scope of neutral barrages. Finally, the experimental results show that our scheme is more effective and practical than the existing methods in the scenario of barrage sentiment analysis.

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Section: E Various Kinds Of Barragesmentioning

confidence: 99%

A Barrage Sentiment Analysis Scheme Based on Expression and Tone

et al. 2019

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“…Since there may be a large number of relevant datasheets, a simple exploration operation cannot efficiently obtain the information for a user's needs. The approach to large-scale social searching is to gather relevant information together and construct a globle search index [7]. Due to the aforementioned user privacy concerns, it is difficult to construct a keyword search for OSN.…”

Section: Introductionmentioning

confidence: 99%

FBF: A High-Efficient Query Mechanism for Keyword Search in Online Social Networks

2024

Teh. vjesn.

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The widespread adoption of online social networks has facilitated content sharing among users. However, privacy controls restrict users' access to only a limited portion of the network, typically limited to direct connections or two-hop friends. Browsing relevant profiles and home pages has become a common practice for users, but the vast amount of data involved often hampers their ability to efficiently retrieve the desired information. This paper presents an efficient keyword search model designed to aid users in accessing the required information effectively. Leveraging advancements in Bloom filter technology, we propose a novel summary index called Friend-based Bloom filter (FBF), which enables large-scale full-text retrieval while reducing inter-server communication costs and query latency. We conduct a comprehensive simulation to evaluate our ranking model, and the results demonstrate the effectiveness of the FBF scheme. Specifically, our approach achieves a reduction of 92.4% in inter-server communication costs and 78.7% in query latency, with a high-search precision condition resulting in a remarkable 98.3% improvement.

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“…In a cloud computing environment, the archives of an organization are not stored on a trusted local server but are stored and managed by the cloud server, resulting in each archive and its owner being separated from each other, i.e., making each archive in an uncontrollable area, and in turn posing a serious threat to the security of archival materials [13][14][15]. Such security threat mainly includes two aspects: (1) external threat, i.e., hackers' attack on the cloud service provider (which has been verified by endless hacking incidents) [16]; and (2) internal threat, i.e., inside jobs from workers of the cloud service provider (driven by interests, it is possible for management workers to maliciously stealing sensitive archival information) [17]. In a word, the security issue of archives on the cloud (i.e., how to ensure the security of sensitive archival data on the untrusted cloud) has become one of the main obstacles to restricting the management of archives on the cloud, which has attracted more and more attention.…”

Section: Introductionmentioning

confidence: 99%

An Effective Model of Confidentiality Management of Digital Archives in a Cloud Environment

et al. 2022

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Aiming at the problem of confidentiality management of digital archives on the cloud, this paper presents an effective solution. The basic idea is to deploy a local server between the cloud and each client of an archive system to run a confidentiality management model of digital archives on the cloud, which includes an archive release model, and an archive search model. (1) The archive release model is used to strictly encrypt each archive file and archive data released by an administrator and generate feature data for the archive data, and then submit them to the cloud for storage to ensure the security of archive-sensitive data. (2) The archive search model is used to transform each query operation defined on the archive data submitted by a searcher, so that it can be correctly executed on feature data on the cloud, to ensure the accuracy and efficiency of archive search. Finally, both theoretical analysis and experimental evaluation demonstrate the good performance of the proposed solution. The result shows that compared with others, our solution has better overall performance in terms of confidentiality, accuracy, efficiency and availability, which can improve the security of archive-sensitive data on the untrusted cloud without compromising the performance of an existing archive management system.

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An efficient subscription index for publication matching in the cloud

Cited by 9 publications

References 18 publications

A Barrage Sentiment Analysis Scheme Based on Expression and Tone

A Barrage Sentiment Analysis Scheme Based on Expression and Tone

FBF: A High-Efficient Query Mechanism for Keyword Search in Online Social Networks

An Effective Model of Confidentiality Management of Digital Archives in a Cloud Environment

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