Ugo Fiore

ORCID: 0000-0003-0509-5662
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About
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Research Areas
  • Advanced Optical Network Technologies
  • Network Security and Intrusion Detection
  • Internet Traffic Analysis and Secure E-voting
  • Cloud Computing and Resource Management
  • Software-Defined Networks and 5G
  • Optical Network Technologies
  • Advanced Photonic Communication Systems
  • Energy Load and Power Forecasting
  • Smart Grid Energy Management
  • Caching and Content Delivery
  • IPv6, Mobility, Handover, Networks, Security
  • Anomaly Detection Techniques and Applications
  • Opportunistic and Delay-Tolerant Networks
  • Cryptographic Implementations and Security
  • Peer-to-Peer Network Technologies
  • Service-Oriented Architecture and Web Services
  • Complex Systems and Time Series Analysis
  • Building Energy and Comfort Optimization
  • Advanced Malware Detection Techniques
  • Blockchain Technology Applications and Security
  • IoT and Edge/Fog Computing
  • Network Packet Processing and Optimization
  • Stock Market Forecasting Methods
  • Access Control and Trust
  • Imbalanced Data Classification Techniques

University of Salerno
2022-2024

Parthenope University of Naples
2017-2023

University of Naples Federico II
2009-2023

Federico II University Hospital
2009-2017

Consorzio Interuniversitario Nazionale per l'Informatica
2011-2013

Abstract Forex (foreign exchange) is a special financial market that entails both high risks and profit opportunities for traders. It also very simple since traders can by just predicting the direction of exchange rate between two currencies. However, incorrect predictions in may cause much higher losses than other typical markets. The prediction requirement makes problem quite different from time-series forecasting problems. In this work, we used popular deep learning tool called “long...

10.1186/s40854-020-00220-2 article EN cc-by Financial Innovation 2021-01-04

SUMMARY Network anomalies, circumstances in which the network behavior deviates from its normal operational baseline, can be due to various factors such as overload conditions, malicious/hostile activities, denial of service attacks, and intrusions. New detection schemes based on machine learning principles are therefore desirable they learn nature traffic autonomously adapt variations structure ‘normality’ well recognize significant deviations suspicious or anomalous events. The main...

10.1002/cpe.3061 article EN Concurrency and Computation Practice and Experience 2013-06-20

10.1016/j.cose.2010.05.002 article EN Computers & Security 2010-06-01

This article presents the results of start-up continuous production biohydrogen from cheese whey (CW) in an anaerobic filter (AF) and fluidized bed (AFB) with a polyurethane carrier. Heat acid pretreatments were used for inactivation hydrogen-scavengers inoculum (mesophilic thermophilic sludge). Acid pretreatment was effective sludge to suppress methanogenic activity, heat treatment mesophilic sludge. Maximum specific yields hydrogen, namely 178 mL/g chemical oxygen demand (COD) 149 COD AFB...

10.3390/app11020510 article EN cc-by Applied Sciences 2021-01-06

Integrating smart grids in cities is pivotal for enhancing urban sustainability and efficiency. Smart enable bidirectional communication between consumers utilities, enabling real-time monitoring management of electricity flows. This integration yields benefits such as improved energy efficiency, incorporation renewable sources, informed decision-making city planners. At the scale, forecasting consumption crucial effective resource planning infrastructure development. study proposes using a...

10.1016/j.iot.2024.101322 article EN cc-by Internet of Things 2024-08-07

Energy consumption and the concomitant Green House Gases (GHG) emissions of network infrastructures are becoming major issues in Information Communication Society (ICS). Current optical (routers, switches, line cards, signal regenerators, amplifiers, etc.) have reached huge bandwidth capacity but development has not been compensated adequately as for their energy consumption. Renewable sources (e.g. solar, wind, tide, emerging a promising solution both to achieve drastically reduction GHG...

10.1109/icc.2011.5962432 article EN 2011-06-01

At present, data centers consume a considerable percentage of the worldwide produced electrical energy, equivalent to production 26 nuclear power plants, and such energy demand is growing at fast pace due ever increasing volumes be processed, stored accessed every day in modern grid cloud infrastructures. Such consumption growth scenario clearly not sustainable it necessary limit center budget by controlling absorbed while keeping desired level service. In this paper, we describe Energy...

10.1109/ccp.2011.9 article EN 2011-06-01
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