DocCloud: A document recommender system on cloud computing with plausible deniability

Vera-del-Campo, Juan; Pegueroles, Josep; Hernández-Serrano, Juan; Soriano, Miguel

doi:10.1016/j.ins.2013.04.007

Cited by 22 publications

(7 citation statements)

References 25 publications

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“…Methods. Vera-del-Campo et al [17] proposed a recommendation system that focuses on the protection of all participants against attacks. In the system, the recommenders use the intermediate nodes to recommend services to users.…”

Section: Knowledge-basedmentioning

confidence: 99%

“…e core idea of service recommendation technology is to identify and predict the needs of users and provide corresponding recommendations to users. Existing popular recommendation methods are roughly divided into several categories: content-based recommendation [2,3], collaborative filtering recommendation [4][5][6][7][8][9][10][11][12], recommendation based on association rules [13][14][15], knowledgebased recommendation [16][17][18], and hybrid recommendation methods [19,20]. Content-based methods recommend similar items to a user according to the items that the user has liked in the past.…”

Section: Introductionmentioning

confidence: 99%

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A Service Recommendation Method Based on Requirements for the Cloud Environment

Guo

Luan

Zheng

et al. 2021

Journal of Control Science and Engineering

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In the cloud computing environment, there are huge amounts of functionally similar cloud services. Additionally, user requirements can change. Therefore, it is difficult to recommend services that meet users’ requirements. To overcome the problems, a service recommendation method based on requirements is proposed. First, we form user communities by clustering to reduce the recommended range. Second, we use the reported QoS (Quality of Service) values and the evaluated QoS values to predict the QoS requirements of users. Third, based on the requirements, the matching degree of users to services is obtained. Finally, based on the similarity between the target user and the user’s neighbors and the difference in their matching degree of service and the ratings of services by the neighbors, we can obtain a list of service recommendations for the target user. Compared to the traditional collaborative filtering method and the deviation-based method, our method improves the recommendation accuracy without lowering the efficiency.

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Section: Knowledge-basedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Service Recommendation Method Based on Requirements for the Cloud Environment

Guo

Luan

Zheng

et al. 2021

Journal of Control Science and Engineering

View full text Add to dashboard Cite

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“…Plausible deniability for providers of online services is also discussed in the literature. For example, in [12] a distributed virtual machine infrastructure is used to provide deniability to online data providers by obfuscating the origin of index data used in recommendations.…”

Section: Related Workmentioning

confidence: 99%

Plausible Deniability in Web Search—From Detection to Assessment

Aonghusa

Leith

2018

IEEE Trans.Inform.Forensic Secur.

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Abstract-Web personalisation uses what systems know about us to create content targeted at our interests. When unwanted personalisation suggests we are interested in sensitive or embarrassing topics a natural reaction is to deny interest. This is a practical response only if denial of our interest is credible or plausible. Adopting a definition of plausible deniability in the usual sense of "on the balance of probabilities", we develop a practical and scalable tool called PDE allowing a user to decide when their ability to plausibly deny interest in sensitive topics is compromised. We show that threats to plausible deniability are readily detectable for all topics tested in an extensive testing program. Of particular concern is observation of threats to deniability of interest in topics related to health and sexual preferences. We show this remains the case when attempting to disrupt search engine learning through noise query injection and click obfuscation. We design a defence technique exploiting uninteresting, proxy topics and show that it provides a more effective defence of plausible deniability in our experiments.

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“…The architecture is based on Service Provider Attach Detection (SPAD) and Tenant-Specific Attach Detection (TSAD) approaches. Vera-del-Campo et al [PS98] present DocCloud security architecture that focuses on plausible deniability, anonymity of indexer, recommenders and intermediate nodes, and oblivious routing. Kaur et al…”

Section: Solutionsmentioning

confidence: 99%

Architecting cloud‐enabled systems: a systematic survey of challenges and solutions

2016

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SUMMARYThe literature on the challenges of and potential solutions to architecting cloud-based systems is rapidly growing but is scattered. It is important to systematically analyze and synthesize the existing research on architecting cloud-based software systems in order to build a cohesive body of knowledge of the reported challenges and solutions. We have systematically identified and reviewed 133 papers that report architecture-related challenges and solutions for cloud-based software systems. This paper reports the methodological details, findings, and implications of a systematic review that has enabled us to identify 44 unique categories of challenges and associated solutions for architecting cloud-based software systems. We assert that the identified challenges and solutions classified into the categories form a body of knowledge that can be leveraged for designing or evaluating software architectures for cloud-based systems. Our key conclusions are that a large number of primary studies focus on middleware services aimed at achieving scalability, performance, response time, and efficient resource optimization. Architecting cloud-based systems presents unique challenges as the systems to be designed range from pervasive embedded systems and enterprise applications to smart devices with Internet of Things. We also conclude that there is a huge potential of research on architecting cloud-based systems in areas related to green computing, energy efficient systems, mobile cloud computing, and Internet of Things.

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DocCloud: A document recommender system on cloud computing with plausible deniability

Cited by 22 publications

References 25 publications

A Service Recommendation Method Based on Requirements for the Cloud Environment

A Service Recommendation Method Based on Requirements for the Cloud Environment

Plausible Deniability in Web Search—From Detection to Assessment

Architecting cloud‐enabled systems: a systematic survey of challenges and solutions

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