Zobrazeno 1 - 10
of 29
pro vyhledávání: '"GAROFALO, MAURO"'
The two most spread network anomalies are port and net scan. In this work, we present and analyze the results obtained by traditional approaches for the detection of net scan and port scans. We use a simple threshold-based algorithm, working at flow-
Externí odkaz:
http://arxiv.org/abs/1806.11047
Nowadays there is no field research which is not flooded with data. Among the sciences, Astrophysics has always been driven by the analysis of massive amounts of data. The development of new and more sophisticated observation facilities, both ground-
Externí odkaz:
http://arxiv.org/abs/1703.05084
Autor:
Brescia, Massimo, Cavuoti, Stefano, Esposito, Francesco, Fiore, Michelangelo, Garofalo, Mauro, Guglielmo, Marisa, Longo, Giuseppe, Manna, Francesco, Nocella, Alfonso, Vellucci, Civita
Astronomy is undergoing through a methodological revolution triggered by an unprecedented wealth of complex and accurate data. DAMEWARE (DAta Mining & Exploration Web Application and REsource) is a general purpose, Web-based, Virtual Observatory comp
Externí odkaz:
http://arxiv.org/abs/1603.00720
Autor:
Brescia, Massimo, Cavuoti, Stefano, Longo, Giuseppe, Nocella, Alfonso, Garofalo, Mauro, Manna, Francesco, Esposito, Francesco, Albano, Giovanni, Guglielmo, Marisa, D'Angelo, Giovanni, Di Guido, Alessandro, Djorgovski, George S., Donalek, Ciro, Mahabal, Ashish A., Graham, Matthew J., Fiore, Michelangelo, D'Abrusco, Raffaele
Astronomy is undergoing through a methodological revolution triggered by an unprecedented wealth of complex and accurate data. The new panchromatic, synoptic sky surveys require advanced tools for discovering patterns and trends hidden behind data wh
Externí odkaz:
http://arxiv.org/abs/1406.3538
Autor:
Cavuoti, Stefano, Garofalo, Mauro, Brescia, Massimo, Paolillo, Maurizio, Pescape', Antonio, Longo, Giuseppe, Ventre, Giorgio
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from our CPU serial implementation, named GAME (Genetic Algorithm Model Experiment). It was successfully tes
Externí odkaz:
http://arxiv.org/abs/1304.0597
Autor:
Cavuoti, Stefano, Garofalo, Mauro, Brescia, Massimo, Pescapé, Antonio, Longo, Giuseppe, Ventre, Giorgio
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from a multi-core CPU serial implementation, named GAME, already scientifically successfully tested and vali
Externí odkaz:
http://arxiv.org/abs/1211.5481
Autor:
Brescia, Massimo, Longo, Giuseppe, Djorgovski, George S., Cavuoti, Stefano, D'Abrusco, Raffaele, Donalek, Ciro, Di Guido, Alessandro, Fiore, Michelangelo, Garofalo, Mauro, Laurino, Omar, Mahabal, Ashish, Manna, Francesco, Nocella, Alfonso, d'Angelo, Giovanni, Paolillo, Maurizio
Nowadays, many scientific areas share the same need of being able to deal with massive and distributed datasets and to perform on them complex knowledge extraction tasks. This simple consideration is behind the international efforts to build virtual
Externí odkaz:
http://arxiv.org/abs/1010.4843
Publikováno v:
In Computer Communications January 2018 116:118-131
Autor:
Garofalo, Mauro1, Botta, Alessio1,2, Ventre, Giorgio1, Brescia, M., Djorgovski, S.G., Feigelson, E., Longo, G., Cavuoti, S.
Publikováno v:
Proceedings of the International Astronomical Union. Oct2016 Supplement, Vol. 12 Issue S325, p345-348. 4p.
Autor:
Garofalo, Mauro
The Cisco VNI Complete Forecast Highlights clearly states that the Internet traffic is growing in three different directions, Volume, Velocity, and Variety, bringing computer network into the big data era. At the same time, sophisticated network atta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______152::efa1785c9523b9eed978f9147e49916e
http://www.fedoa.unina.it/11784/
http://www.fedoa.unina.it/11784/