21 papers · ranked by Valyu relevance
Aleksandr Ometov, Oliver Liombe Molua, Mikhail Komarov, Jari Nurmi + 3 more
'Leandros Maglaras' 'Helge Janicke' 'Mohamed Amine Ferrag'] The field of information security and privacy is currently attracting a lot of research interest. Simultaneously, different computing paradigms from Cloud computing to Edge computing are already forming a unique ecosystem with different architectures, storage…
Anastasija Nikiforova
Today, large amounts of data are being continuously produced, collected, and exchanged between systems. As the number of devices, systems and data produced grows up, the risk of security breaches increases. This is all the more relevant in times of COVID-19, which has affected not only the health and lives of human…
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…
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…
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…
Ishu Gupta, Ashutosh Kumar Singh
The data is an important asset of an organization and it is essential to keep this asset secure. It requires security in whatever state is it i.e. data at rest, data in use, and data in transit. There is a need to pay more attention to it when the third party is included i.e. when the data is stored in the cloud then…
Mudassar Aslam, Muhammad Abbas Khan Abbasi, Tauqeer Khalid, Rafi us Shan + 7 more
'Rafi us Shan' 'Subhan Ullah' 'Tahir Ahmad' 'Saqib Saeed' 'Dina A. Alabbad' 'Rizwan Ahmad' 'Lorenzo Musarella' 'Roberto Nardone'] Smart cities assure the masses a higher quality of life through digital interconnectivity, leading to increased efficiency and accessibility in cities. In addition, a huge amount of data is…
Anastasija Nikiforova, Artjoms Daskevics, Otmane Azeroual
This preprint has not undergone any post-submission improvements or corrections. The Version of Record of this contribution is published in Nikiforova, A., Daskevics, A. and Azeroual, O. (2023), "NoSQL Security: Can My Data-driven Decision-making Be Influenced from Outside?", Visvizi, A., Troisi, O. and Grimaldi, M.…
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…
Sudip Mondal, Namrata Bhattacharya, Troyee Das, Zhumur Ghosh + 1 more
Recent developments in sequencing technologies have created new opportunities to generate high-throughput biological data at an affordable price. Such high-throughput data needs immense computational resources for performing transcript assembly. Further, a high-end storage facility is needed to store the analyzed data…
Tamer Abdel Latif Ali, Mostafa M. Elsherbini, Elochukwu Ukwandu
With the exponential growth of electronically transmitted and stored data, ensuring data privacy and security has become a fundamental challenge for organizations and enterprises. Traditional encryption methods have limitations, such as vulnerability to advanced attacks and high computational complexity, that lead to…
Jin Li, Wei Xiao, Chong Zhang
The extremely complex and dynamic digital environments of universities make them highly vulnerable to the risk of data breaches. This study empirically investigated the factors influencing data breach risks in the context of higher education, according to crime opportunity theory and routine activity theory. The data…
Kishu Gupta, Ashwani Kush
Sensitive data leakage is the major growing problem being faced by enterprises in this technical era. Data leakage causes severe threats for organization of data safety which badly affects the reputation of organizations. Data leakage is the flow of sensitive data/information from any data holder to an unauthorized…
Jacob Blindenbach, Jiayi Kang, Seungwan Hong, Caline Karam + 2 more
Cloud computing provides the opportunity to store the ever-growing genotype-phenotype data sets needed to achieve the full potential of precision medicine. However, due to the sensitive nature of this data and the patchwork of data privacy laws across states and countries, additional security protections are proving…
Fatih Gurcan, Yue Zhang
Background Digitalization and rapid technological improvement in the present day bring numerous benefits, but they also raise the complexity and diversity of cyber security risks, putting critical information security issues on the agenda. Growing issues and worries about information security endanger not only the…
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.…
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…
Xiangzhen Zan, Ranze Xie, Ling Chu, Yanqing Su + 3 more
Rapid development in synthetic technologies has boosted DNA as a potential medium for large-scale data storage. Meanwhile, how to implement data security in DNA storage system is still an unsolved problem. In this paper, we propose an image encryption method based on the modulation-based storage architecture. The key…
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…
Chen Chen, Yuanyuan Liu, Lei Wang, Jingyi Sai + 8 more
With the rapid accumulation of diverse omics datasets, achieving efficient management and integrative analysis of plant multi-omics data remains a major challenge. Conventional solutions rely on constructing web-based databases, which often demand substantial programming expertise and long-term financial support. To…
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…