21 papers · ranked by Valyu relevance
Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura Freeman + 1 more
'J. Werner'] A subfield of AI, machine learning (ML) is particularly data dependent and is increasingly included as a component of information systems with many opportunities along the ML lifecycle – ranging across data collection, preprocessing, training, testing, and deployment – for data to be adversarially or…
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…
Lynda Kacha, Abdelhafid Zitouni
Cloud Computing refers to the use of computer resources as a service on-demand via internet. It is mainly based on data and applications outsourcing, traditionally stored on users' computers, to remote servers (datacenters) owned, administered and managed by third parts. This paper is an overview of data security…
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…
Saiqa Aleem, Luiz Fernando Capretz, Faheem Ahmed
— Data Warehouse (DWH) provides storage for huge amounts of historical data from heterogeneous operational sources in the form of multidimensional views, thus supplying sensitive and useful information which help decision-makers to improve the organization's business processes. A data warehouse environment must ensure…
Gayatri Kapil, Alka Agrawal, Abdulaziz Attaallah, Abdullah Algarni + 3 more
'Rajeev Kumar' 'Raees Ahmad Khan' 'Shlomi Dolev'] Hadoop has become a promising platform to reliably process and store big data. It provides flexible and low cost services to huge data through Hadoop Distributed File System (HDFS) storage. Unfortunately, absence of any inherent security mechanism in Hadoop increases…
Benjamin Aziz, Omar A. Alzubi
Multi-user computer environments pose potential threats to users data in organisations, in that unauthorised subsequent users who log on to the same computer could leak, alter or delete data belonging to users who previously logged in to the same computer. Such a threat is inspired by Locard’s exchange principle, which…
Harshavardhan Kayarkar
Data security is one of the most crucial and a major challenge in the digital world. Security, privacy and integrity of data are demanded in every operation performed on internet. Whenever security of data is discussed, it is mostly in the context of secure transfer of data over the unreliable communication networks.…
Rohit Bhadauria, Sugata Sanyal
Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture, accessible through internet from lightweight portable devices. This would allow multi-fold…
Maged N Kamel Boulos, Andrew J Curtis, Philip AbdelMalik
This paper offers a state-of-the-art overview of the intertwined privacy, confidentiality, and security issues that are commonly encountered in health research involving disaggregate geographic data about individuals. Key definitions are provided, along with some examples of actual and potential security and…
Chih Chuan Shih, Jieqi Chen, Ai Shan Lee, Nicolas Bertin + 34 more
Genomic researchers are increasingly utilizing commercial cloud platforms (CCPs) to manage their data and analytics needs. Commercial clouds allow researchers to grow their storage and analytics capacity on demand, keeping pace with expanding project data footprints and enabling researchers to avoid large capital…
Dennis Grishin, Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza, Kamal Obbad + 7 more
The growing number of health-data breaches, the use of genomic databases for law enforcement purposes and the lack of transparency of personal-genomics companies are raising unprecedented privacy concerns. To enable a secure exploration of genomic datasets with controlled and transparent data access, we propose a novel…
Murat Kantarcioglu, Elena Ferrari
As reports from McKinsey Global Institute (Mckinsey et al., ) and the World Economic Forum (Schwab, ) suggest, capturing, storing and mining “big data” may create significant value in many industries ranging from health care to government services. For example, McKinsey estimates that capturing the value of big data…
Guy Mouanda
Information systems and data are necessary resources for several companies and individuals, but they likewise encounter numerous risks and dangers that can threaten their protection and value. Information security and information assurance are two connected expressions of protecting the confidentiality, integrity, and…
Garrett J. Schumacher, Sterling Sawaya, Demetrius King, Aaron J. Hansen
Genetic information is being generated at an increasingly rapid pace, offering advances in science and medicine that are paralleled only by the threats and risk present within the responsible ecosystem. Human genetic information is identifiable and contains sensitive information, but genetic data security is only…
Muhammad Aufeef Chauhan, Muhammad Ali Babar, Fethi Rabhi
Orchestration, Analysis and Reporting Authors: ['Muhammad Aufeef Chauhan' 'Muhammad Ali Babar' 'Fethi Rabhi'] A Software Reference Architecture (SRA) is a useful tool for standardising existing architectures in a specific domain and facilitating concrete architecture design, development and evaluation by instantiating…
Somalee Datta, Keith Bettinger, Michael Snyder
Large scale genomics studies involving thousands of whole genome or exome sequences are underway^1^ on Cloud. While Cloud provides many conveniences for genomics research, it also raises concerns regarding large scale hacking, bad press, potential loss of patient privacy and the resulting loss of patient trust. Cloud…
Gamze Gürsoy, Charlotte M Brannon, Mark Gerstein
With the advent of precision medicine, pharmacogenomics data is becoming increasingly critical to patient care. These data describe the relationship between a particular variant in the genome and the response to a drug by the patient. As utilizing this kind of data becomes more integral to medical treatment decisions…
Authors not listed
Machine learning models are transforming data-driven research across scientific disciplines, yet their deployment as accessible and reliable web services remains a significant challenge. We introduce the NERDD framework, a scalable, maintainable, and secure microservices platform designed to support the sustainable…
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…
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…