Search results for " computing"
showing 10 items of 2075 documents
A Survey on Privacy in Decentralized Online Social Networks
2018
Decentralized Online Social Networks (DOSNs) have recently captured the interest of users because of the more control given to them over their shared contents. Indeed, most of the user privacy issues related to the centralized Online Social Network (OSN) services (such as Facebook or Google+) do not apply in the case of DOSNs because of the absence of the centralized service provider. However, these new architectures have motivated researchers to investigate new privacy solutions that allow DOSN’s users to protect their contents by taking into account the decentralized nature of the DOSNs platform. In this survey, we provide a comprehensive overview of the privacy solutions adopted by…
To Share or Not to Share: Supporting the User Decision in Mobile Social Software Applications
2007
User's privacy concerns represent one of the most serious obstacles to the wide adoption of mobile social software applications. In this paper, we introduce a conceptual model which tackles the problem from the perspective of trade-off between privacy and trust, where the user takes the decision with minimal privacy loss. To support the user decision, we introduce the Mobile Access Control List (Macl), a privacy management mechanism which takes into account the user attitude towards mobile sharing, his communication history and social network relationships.
Internet of things and privacy preserving technologies
2009
In this paper we consider different approaches to technological protection of users' privacy in the world of internet of things. Particularly, we consider what kind of problems and which level of protection can be achieved by applying approaches using secure multi-party computations.
An Efficient and Secure Multidimensional Data Aggregation for Fog-Computing-Based Smart Grid
2021
International audience; The secure multidimensional data aggregation (MDA) has been widely investigated in smart grid for smart cities. However, previous proposals use heavy computation operations either to encrypt or to decrypt the multidimensional data. Moreover, previous fault-tolerant mechanisms lead to an important computation cost, and also a high communication cost when considering a separate identification phase. In this article, we propose an efficient and secure MDA scheme, named ESMA. Unlike existing schemes, the multidimensional data in ESMA are structured and encrypted into a single Paillier ciphertext and thereafter, the data are efficiently decrypted. For privacy preserving, …
Semantic Portal for Legislative Information
2006
Semantic portals enabled by Semantic Web technologies have been suggested to provide a point of access to an integrated body of information about some domain. In the area of e-Government there are multiple possible domains for semantic portals, one of them being legislative work. In this paper we propose a semantic portal based on a rich metadata repository to support the retrieval of legislative information. The portal provides process oriented semantic browsing capabilities. A prototype of the portal has been implemented for the retrieval of Finnish legislative information.
Active Learning System in the Context of the Social Semantic Web
2013
In this paper we present the concept and the implementation of an Active Semantic Learning System that takes advantage of the Social Semantic Web in order to deliver an efficient and personalized learning experience to the learner. Active participation of the learner is encouraged through the social learning approach and through techniques that adapt the learning content to learners' needs and preferences. The semantic layer allows us to define a common understanding of the data used to describe the objects in the learning system. The objects in the learning system are described using semantic web technologies. Domain ontologies and explicit logic rules are defined in order to allow data in…
Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest
2017
Evolving Knowledge Ecosystems were proposed to approach the Big Data challenge, following the hypothesis that knowledge evolves in a way similar to biological systems. Therefore, the inner working of the knowledge ecosystem can be spotted from natural evolution. An evolving knowledge ecosystem consists of Knowledge Organisms, which form a representation of the knowledge, and the environment in which they reside. The environment consists of contexts, which are composed of so-called knowledge tokens. These tokens are ontological fragments extracted from information tokens, in turn, which originate from the streams of information flowing into the ecosystem. In this article we investigate the u…
Cloud Sourcing and Paradigm Shift in IT Governance: Evidence from the Financial Sector
2020
In the digital age, organizations are increasingly shifting their applications, services and infrastructures to the cloud to enhance business agility and reduce IT-related costs. However, in moving applications and data to cloud resources organizations face new risks of privacy violations. To manage this risk, organizations need to be fully aware of threats and vulnerabilities affecting their digital re-sources in cloud. Although some previous studies have focused on the emerging challenges of cloud adoption to governance and control, we know little regarding the paradigm shifts in IT governance processes and practices. To address this gap, we conducted an exploratory case study in two larg…
File system scalability with highly decentralized metadata on independent storage devices
2016
This paper discusses using hard drives that integrate a key-value interface and network access in the actual drive hardware (Kinetic storage platform) to supply file system functionality in a large scale environment. Taking advantage of higher-level functionality to handle metadata on the drives themselves, a serverless system architecture is proposed. Skipping path component traversal during the lookup operation is the key technique discussed in this paper to avoid performance degradation with highly decentralized metadata. Scalability implications are reviewed based on a fuse file system implementation. Peer Reviewed
GekkoFS — A Temporary Burst Buffer File System for HPC Applications
2020
Many scientific fields increasingly use high-performance computing (HPC) to process and analyze massive amounts of experimental data while storage systems in today’s HPC environments have to cope with new access patterns. These patterns include many metadata operations, small I/O requests, or randomized file I/O, while general-purpose parallel file systems have been optimized for sequential shared access to large files. Burst buffer file systems create a separate file system that applications can use to store temporary data. They aggregate node-local storage available within the compute nodes or use dedicated SSD clusters and offer a peak bandwidth higher than that of the backend parallel f…