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Genoveva Vargas-Solar

Researcher at Centre national de la recherche scientifique

Publications -  146
Citations -  786

Genoveva Vargas-Solar is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Computer science & Service (business). The author has an hindex of 13, co-authored 128 publications receiving 643 citations. Previous affiliations of Genoveva Vargas-Solar include Grenoble Institute of Technology & University of Grenoble.

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Journal ArticleDOI

Smart Detection: An Online Approach for DoS/DDoS Attack Detection Using Machine Learning

TL;DR: A machine learning- (ML-) based DoS detection system that makes inferences based on signatures previously extracted from samples of network traffic shows an online detection rate (DR) of attacks above 96%, with high precision (PREC) and low false alarm rate (FAR) using a sampling rate of 20% of network Traffic.
Proceedings ArticleDOI

A flexible workflow model for process-oriented applications

TL;DR: The proposed knowledge model provides concepts for modeling activities, data used by such activities, agents, and ordering operators and synchronization modes used for specifying activities dependencies and the behavior model provides dimensions that characterize workflow enactment.
Journal ArticleDOI

Using autonomous intelligence to build a smart shop floor

TL;DR: In this article, the authors present an architecture of smart shop floor based on physical, logical, and communication layers that embed intelligent approaches within manufacturing processes, where every physical entity in the smart shop-floor is regarded as an autonomous intelligent logical unit that performs operations guided by distributed control functions.
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Big Data Management: What to Keep from the Past to Face Future Challenges?

TL;DR: An overview of the different architectures in which efficient data management functions can be delivered for addressing Big Data processing challenges is given.
Proceedings ArticleDOI

Open active services for data-intensive distributed applications

TL;DR: This work proposes open and distributed active services that can be used for specifying and generating event and rule managers that support cooperation and interaction between distributed database software (i.e. applications and systems).