25 papers · ranked by Valyu relevance
Rose Adee, Haralambos Mouratidis, Naveen Chilamkurti
Cloud computing is a rapidly expanding field. It allows users to access computer system resources as needed, particularly data storage and computational power, without managing them directly. This paper aims to create a data security model based on cryptography and steganography for data in cloud computing that seeks…
Zhenqi Wang, Shaopeng Guan, Sitharthan Ramachandran
The traditional data-sharing model relies on a centralized third-party platform, which presents challenges such as poor transaction transparency and unsecured data security. In this article, we propose a blockchain-based traceable and secure data-sharing scheme. Firstly, we designed an attribute encryption-based method…
Feng Wen, Zhuo Wang, Leda Qu, Haixin Huang + 2 more
'Anwitaman Datta'] Data sharing is increasingly important across various industries. However, issues such as data integrity verification during sharing, encryption key leakage, and difficulty sharing data between different user groups have been identified. To address these challenges, this study proposes a multi-group…
Sandeep Tamrakar, Long Nguyen, Praveen Kumar Pendyala, Andrew Paverd + 2 more
'N. Asokan' 'Ahmad‐Reza Sadeghi'] Abstract—Cloud storage services like Dropbox and Google Drive are widely used by individuals and businesses. Two attractive features of these services are 1) the automatic synchronization of files between multiple client devices and 2) the possibility to share files with other users.…
Siyuan Xia, Zhi-ru Zhu, Chris Zhu, Jinjin Zhao + 6 more
'Aaron J. Elmore' 'Ian Foster' 'Michael J. Franklin' 'Sanjay Krishnan' 'Raul Castro Fernandez'] Pooling and sharing data increases and distributes its value. But since data cannot be revoked once shared, scenarios that require controlled release of data for regulatory, privacy, and legal reasons default to not sharing.…
Kemal Biçakcı, Davut Deniz Yavuz, Sezin Gürkan
—With the advent of cloud technologies, there is a growing number of easy-to-use services to store files and share them with other cloud users. By providing security features, cloud service providers try to encourage users to store personal files or corporate documents on their servers. However, their server-side…
Deborah Stacey, Kenneth Wulff, Nidhip Chikhalla, Theresa Bernardo
Solving complex global problems involving data and data analysis can require data from both the public and private sectors. The sharing of data has traditionally been restricted to open data. To facilitate the use of both open and private data, a new data-sharing framework has been constructed as an extension to the…
Houda Ferradi, Jiannong Cao, Shan Jiang, Yinfeng Cao + 1 more
Big Data Sharing (BDS) refers to the act of the data owners to share data so that users can find, access and use data according to the agreement. In recent years, BDS has been an emerging topic due to its wide applications, such as big data trading and cross-domain data analytics. However, as the multiple parties are…
Jason M. Carpenter, Zhi-Li Zhang
The modern data economy is built on sharing data. However, sharing data can be an expensive and risky endeavour. Existing sharing systems like Distributed File Systems provide full read, write, and execute Role-based Access Control (RBAC) for sharing data, but can be expensive and difficult to scale. Likewise such…
Manaswitha Edupalli, Tivadar Péter Török, Madhava Jay, Keelan Jordan + 5 more
Biomedical datasets representing diverse populations are essential for advancing precision medicine, yet remain siloed due to regulatory, sovereignty, and privacy constraints. Existing data-sharing solutions remain limited. Centralized repositories and Trusted Research Environments (TREs) require data migration into…
Hyunghoon Cho, David Froelicher, Jeffrey Chen, Manaswitha Edupalli + 4 more
Sharing data across multiple institutions for genome-wide association studies (GWAS) would enable discovery of novel genetic variants linked to health and disease. However, existing regulations on genomic data sharing and the sheer size of the data limit the scope of such collaborations. Although cryptographic tools…
Kiavash Satvat, Maliheh Shirvanian, Nitesh Saxena
In this paper, we introduce PASSAT, a practical system to boost the security assurance delivered by the current cloud architecture without requiring any changes or cooperation from the cloud service providers. PASSAT is an application transparent to the cloud servers that allows users to securely and efficiently store…
Juha-Pekka Soininen, Gabriella Laatikainen
The paper presents a use case model and a logical architecture model of a data space system. The models view the data space system from the user and operator perspectives and describe the needed functionalities and their connection on an abstract level. The core features in our data space model are collaboration…
Vahid Jalili, Enis Afgan, James Taylor, Jeremy Goecks
Large biomedical datasets, such as those from genomics and imaging, are increasingly being stored on commercial and institutional cloud computing platforms. This is because cloud-scale computing resources, from robust backup to high-speed data transfer to scalable compute and storage, are needed to make these large…
Khalid K. Almuzaini, Amit Kumar Sinhal, Raju Ranjan, Vikas Goel + 2 more
Cloud technology is a business strategy that aims to provide the necessary material to customers depending on their needs. Individuals and cloud businesses alike have embraced the cloud storage service, which has become the most widely used service. The industries outsource their data to cloud storage space to relieve…
Karthik A. Jagadeesh, David J. Wu, Johannes A. Birgmeier, Dan Boneh + 1 more
In an age where commercial entities are allowed to collect and directly profit from large amounts of private information, an age where large data breaches of such organizations are discovered every month, science must strive to offer society viable ways to preserve privacy while benefitting from the power of data…
Justin Wagner, Joseph N. Paulson, Xiao-Shaun Wang, Bobby Bhattacharjee + 1 more
Developing targeted therapeutics and identifying biomarkers relies on large amounts of patient data. Beyond human DNA, researchers now investigate the DNA of micro-organisms inhabiting the human body. An individual’s collection of microbial DNA consistently identifies that person and could be used to link a real-world…
Authors not listed
Next Generation Risk Assessment (NGRA) promotes animal-free, exposure-informed, and hypothesis-driven approaches to chemical safety assessment. In silico tools, such as quantitative structure-activity relationship (QSAR) models, are valuable new approach methodologies (NAMs) for use in NGRA. However, the practical…
Shakir A. Almasaari
This paper explores the essential areas of cybersecurity management for big data systems. Big data platform stems its complexity from being a collection of interrelated non-standardized systems that interact with each other to process large data-sets. This complexity increases the chances of overlooking critical…
Jingcheng Zhang, Yingxuan Ren, Man Ho Au, Ka-Ho Chow + 5 more
With the rapid developments in sequencing technologies, individuals now have unprecedented access to their genomic data. However, existing data management systems or protocols are inadequate for protecting privacy, limiting individuals’ control over their genomic information, hindering data sharing, and posing a…
Sudha Devi Dorairaj, Thilagavathy Kaliannan
Cloud computing is renowned for delivering information technology services based on internet. Nowadays, organizations are interested in moving their massive data and computations into cloud to reap their significant benefits of on demand service, resource pooling, and rapid elasticity that helps to satisfy the…
Authors not listed
The discoverability and reusability of data is critical for machine learning to drive new discovery in the chemical sciences, and the ‘FAIR Guiding Principles for scientific data management and stewardship’ provide a measurable set of guidelines that can be used to ensure the accessibility of reusable data. We…
Chia-Lin Lin, Pei-Chi Huang, Simone Graessle, Christoph Grathwol + 20 more
Results of scientific work in chemistry can usually be obtained in the form of materials and data. A big step towards transparency and reproducibility of the scientific work can be gained if scientists publish their data in a FAIR (Findable, Accessible, Interoperable, Reusable) manner in research data repositories.…
Authors not listed
Raman spectroscopy is an increasingly powerful and fast-growing analytical technique across diverse disciplines, from materials science and chemistry to biology and medicine, thanks to advances in Raman instrumentation and greatly supported by the flourishing of chemometrics and artificial intelligence (AI). However…
Authors not listed
The nanosafety domain has seen significant advancements in data generation and sharing, yet challenges remain in ensuring data interoperability and reuse. This article focuses on developing a semantic interoperability framework for nanosafety data to maximize the FAIRness (Findability, Accessibility, Interoperability…