Results 61 to 70 of about 41,447 (233)
On the Efficacy of Live DDoS Detection with Hadoop
Distributed Denial of Service flooding attacks are one of the biggest challenges to the availability of online services today. These DDoS attacks overwhelm the victim with huge volume of traffic and render it incapable of performing normal communication ...
Ali, Usman, Hameed, Sufian
core +1 more source
This graphical abstract illustrates the cloud‐based GWAS platform as a hub that integrates six major multiomics domains: phenomics, neuroscience, proteomics, microbiomics, metabolomics, and nutrigenomics. The platform unifies diverse data types—including clinical phenotypes, neuroimaging, plasma proteomics, microbiome profiles, metabolic biomarkers ...
Xiaohong Ke +12 more
wiley +1 more source
Multi‐Omics‐Augmented GWAS for Crop Improvement: From Mechanisms to Breeding
This review presents an integrated framework that synergises multi‐omics with GWAS and machine learning to decode the genetic basis of complex agronomic traits, bridging biological discovery to precision breeding for climate‐resilient crops. ABSTRACT Global food security demands innovative strategies to enhance crop resilience and productivity amidst ...
Naimatullah Mangi +17 more
wiley +1 more source
The surge in big data and analytics has catalysed the proliferation of cybercrime, largely driven by organisations’ intensified focus on gathering and processing personal data for profit while often overlooking security considerations.
Cephas Mpungu +2 more
doaj +1 more source
Cloud Storage Performance and Security Analysis with Hadoop and GridFTP [PDF]
Even though cloud server has been around for a few years, most of the web hosts today have not converted to cloud yet. If the purpose of the cloud server is distributing and storing files on the internet, FTP servers were much earlier than the cloud. FTP
Liu, Wei-Li
core +1 more source
A Systematic Overview of Caching Mechanisms to Improve Hadoop Performance
ABSTRACT In today's distributed computing environments, the rapid generation of large‐scale data from diverse sources poses significant challenges in terms of storage, management, and processing, particularly for traditional relational databases. Hadoop has emerged as a widely adopted framework for handling such data through parallel processing across ...
Rana Ghazali, Douglas G. Down
wiley +1 more source
A Novel Clustering Technique for Efficient Clustering of Big Data in Hadoop Ecosystem
Big data analytics and data mining are techniques used to analyze data and to extract hidden information. Traditional approaches to analysis and extraction do not work well for big data because this data is complex and of very high volume.
Sunil Kumar, Maninder Singh
doaj +1 more source
ENHANCING APPROACH USING HYBRID PAILLER AND RSA FOR INFORMATION SECURITY IN BIGDATA [PDF]
The amount of data processed and stored in the cloud is growing dramatically. The traditional storage devices at both hardware and software levels cannot meet the requirement of the cloud.
Shadan Mohammed Jihad ABDALWAHID +2 more
doaj +1 more source
Processing Large Amounts of Images on Hadoop with OpenCV [PDF]
Modern image collections cannot be processed efficiently on one computer due to large collection sizes and high computational costs of modern image processing algorithms. Hence, image processing often requires distributed computing.
Epanchintsev, T., Sozykin, A.
core
A Pattern‐Referencing Model for Hourly Temperature Forecasting in Coastal Regions
A novel pattern‐referencing model forecasts hourly temperatures in Taiwan's southwestern coastal region. It robustly handles missing data, achieving high accuracy (MAE 0.323°C–0.539°C, RMSE 0.450°C–0.807°C) even during extreme weather, offering a practical solution for real‐time decision‐making.
Nan‐Jing Wu, Fan‐Hua Nan
wiley +1 more source

