Results 71 to 80 of about 11,273 (224)

ENHANCING APPROACH USING HYBRID PAILLER AND RSA FOR INFORMATION SECURITY IN BIGDATA [PDF]

Applied Computer Science, 2019
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, Raghad Zuhair YOUSIF, Shahab Wahhab KAREEM   +2 more
doaj   +1 more source

An Explainable Federated Learning Framework for Privacy‐Aware Modeling of Fuel Consumption and CO2 Emissions in CAVs

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Connected and autonomous vehicles (CAVs) raise critical challenges related to energy efficiency, on‐road CO2 emission reduction, and data privacy in intelligent transportation systems. This study addresses a data‐driven, privacy‐aware, and explainable modeling problem for fuel consumption and CO2 emission prediction in CAV environments and does not ...
Muhammad Saleem, Naila Sammar Naz, Tehseen Mazhar, Tuwailaa Alshammari, Muhammad Adnan Khan, Sghaier Guizani, Habib Hamam, Huaiyu Wang   +7 more
wiley   +1 more source

A parallel genetic algorithms framework based on Hadoop MapReduce

, 2015
This paper describes a framework for developing parallel Genetic Algorithms (GAs) on the Hadoop platform, following the paradigm of MapReduce. The framework allows developers to focus on the aspects of GA that are specific to the problem to be addressed.
Hadoop Mapreduce, Federica Sarro, FERRUCCI, Filomena, Kechadi, M. Tahar, SALZA, PASQUALE, SARRO, FEDERICA, M-tahar Kechadi, Filomena Ferrucci, Pasquale Salza   +8 more
core   +1 more source

Empirical Analysis of Recent Advances, Characteristics and Challenges of Big Data [PDF]

EAI Endorsed Transactions on Scalable Information Systems, 2019
Here in this study, we provide an empirical analysis of recent advances, characteristic and challenges of big data. Initially, we acquaint the readers with the general background, history, and characteristics of big data including volume, velocity, value
Burhanullah Khattak, Aurangzeb Khan, Khairullah Khan, Wahab Khan, Muhammad Kamran, Muhammad Fahad   +5 more
doaj   +1 more source

Evaluation of Machine Learning Techniques for Denial‐of‐Service Attack Detection in Digital Information Exchange

Journal of Computer Networks and Communications, Volume 2026, Issue 1, 2026.
Anomaly detection plays a critical role in mitigating cybersecurity threats, particularly Distributed Denial of Service (DDoS) attacks. This study evaluates the performance of tree‐based and ensemble learning models, including Decision Tree, Random Forest, and XGBoost, for classifying Snort log data, alongside the application of Isolation Forest for ...
Piyapol Suwimol, Krishna Chimmanee, Auttapon Pomsathit, Sohini Basu Roy   +3 more
wiley   +1 more source

MapReduce based RDF assisted distributed SVM for high throughput spam filtering [PDF]

, 2013
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityElectronic mail has become cast and embedded in our everyday lives. Billions of legitimate emails are sent on a daily basis.
Caruana, Godwin
core  

A Novel Clustering Technique for Efficient Clustering of Big Data in Hadoop Ecosystem

Big Data Mining and Analytics, 2019
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

Spatiotemporal Big Data Retrieval Method Based on GeoHash Algorithm and Multimode Composite Index

Modelling and Simulation in Engineering, Volume 2026, Issue 1, 2026.
With the increasing demand for multisource heterogeneous spatiotemporal data in applications such as smart cities and intelligent transportation, how to balance retrieval accuracy, multimodal adaptation, and high concurrency response has become a key issue.
Yanxin Wang, Federica Proietto
wiley   +1 more source

High-performance and high-concurrency encryption scheme for Hadoop platform

Tongxin xuebao, 2019
To address the problem that as preventing data leakage on Hadoop platform,the existing encryption schemes suffer from several problems (e.g.,single encryption algorithm,complicated key management,low encryption performance) and they cannot protect data ...
Wei JIN, Mingjie YU, Fenghua LI, Zhengkun YANG, Kui GENG   +4 more
doaj   +2 more sources

Task failure resilience technique for improving the performance of MapReduce in Hadoop

ETRI Journal, 2020
MapReduce is a framework that can process huge datasets in parallel and distributed computing environments. However, a single machine failure during the runtime of MapReduce tasks can increase completion time by 50%.
Kavitha C, Anita X
doaj   +1 more source