Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques

Autor: Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino

Publikováno v: Journal of Big Data, Vol 11, Iss 1, Pp 1-37 (2024)

Abstract In this paper, a framework based on a sparse Mixture of Experts (MoE) architecture is proposed for the federated learning and application of a distributed classification model in domains (like cybersecurity and healthcare) where different pa

Externí odkaz: https://doaj.org/article/b7074f2d85ca446e9dfcc30bd2b80274

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity

Autor: Gianluigi Folino, Carla Otranto Godano, Francesco Sergio Pisani

Publikováno v: The Journal of Supercomputing.

Nowadays, the speed of the user and application logs is so quick that it is almost impossible to analyse them in real time without using high-performance systems and platforms. In cybersecurity, human behaviour is responsible directly or indirectly f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cad39d25d2ad4540ee92c7bd713844d6
https://doi.org/10.1007/s11227-023-05049-x

A Scalable Cybersecurity Framework for Anomaly Detection in User Behaviour

Autor: Gianluigi Folino, Carla Otranto Godano, Francesco Sergio Pisani

Nowadays, the speed of the user and application logs is so quick that it is almost impossible to analyse them in real-time without using scalable systems and platforms. In cybersecurity, human behaviour is responsible directly or indirectly for the m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1f28ff010517dcf63a825d0f91ca42dc
https://doi.org/10.21203/rs.3.rs-1912478/v1

A GP-based ensemble classification framework for time-changing streams of intrusion detection data

Autor: Gianluigi Folino, Luigi Pontieri, Francesco Sergio Pisani

Publikováno v: Soft computing (Berl., Print) 24 (2020): 17541–17560. doi:10.1007/s00500-020-05200-3
info:cnr-pdr/source/autori:Gianluigi Folino and Francesco Sergio Pisani and Luigi Pontieri/titolo:A GP-based ensemble classification framework for time-changing streams of intrusion detection data/doi:10.1007%2Fs00500-020-05200-3/rivista:Soft computing (Berl., Print)/anno:2020/pagina_da:17541/pagina_a:17560/intervallo_pagine:17541–17560/volume:24

Intrusion detection tools have largely benefitted from the usage of supervised classification methods developed in the field of data mining. However, the data produced by modern system/network logs pose many problems, such as the streaming and non-st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::460618e5587e1d2bd9e060c4ead820f7
https://doi.org/10.1007/s00500-020-05200-3

Strumenti Intelligenti per Threat Detection e Response

Autor: Francesco Sergio Pisani, Silvia Biasotti, Nunziato Cassavia, Luca Caviglione, Gianluigi Folino, Massimo Guarascio, Giuseppe Manco, Marco Zuppelli

Publikováno v: Ital-IA: Secondo Convegno Nazionale CINI sull'Intelligenza Artificiale, Torino, online, 9-11/02/2022
info:cnr-pdr/source/autori:Francesco Sergio Pisani, Silvia Biasotti, Nunziato Cassavia, Luca Caviglione, Gianluigi Folino, Massimo Guarascio, Giuseppe Manco, Marco Zuppelli/congresso_nome:Ital-IA: Secondo Convegno Nazionale CINI sull'Intelligenza Artificiale/congresso_luogo:Torino, online/congresso_data:9-11%2F02%2F2022/anno:2022/pagina_da:/pagina_a:/intervallo_pagine

L'identificazione tempestiva di attacchi o software malevoli, la mitigazione del rischio, e la condivi- sione di informazioni per la "threat intelligence", rappresentano temi di estremo interesse in ambito accademico e aziendale. Ad oggi, non vi sono

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::6ab9dbe5a0f14b9d53d287548ff82476
https://www.ital-ia2022.it