This chapter presents the FINSEC adaptive and intelligent data collection and ana- lytics system for securing critical financial infrastructure. It enhances the intelli- gent, resilient, automated, efficient, secure, and timely manner the collection and analysis of security-related data for securing cyber-physical financial infrastructure and services. Making security data collection and analysis intelligent and capable of quickly spotting, learning from, and addressing zero-day threats is essential to economizing of resources and accessing the right information at the right time. This is achieved through the configuration of configurable collection probes and the adaptation of different collection strategies. The chapter further addresses how, inter alia, (i) the nature and quality of collected data affects the efficiency and accu- racy of methods of attack detection and defense, (ii) the detection capability can be improved by correlating wide-ranging data sources and predictive analytics, (iii) the rate of the data collection at the various monitoring probes is tuned by manag- ing the appropriate levels and types of intelligence and adaptability of security monitoring, (iv) the optimization of bandwidth and storage of security informa- tion can be achieved by rendering adaptiveness and intelligence and by integrating smart security probes and a set of adaptive strategies and rules, and (v) the increased automation is achieved through a feedback loop of collection, detection, and pre- vention that allows the early detection and prevention of security compromises and consistently makes security analysis more effective.

Adaptive and Intelligent Data Collection and Analytics for Securing Critical Financial Infrastructure

Enrico Cambiaso;Ivan Vaccari;Maurizio Aiello
2020

Abstract

This chapter presents the FINSEC adaptive and intelligent data collection and ana- lytics system for securing critical financial infrastructure. It enhances the intelli- gent, resilient, automated, efficient, secure, and timely manner the collection and analysis of security-related data for securing cyber-physical financial infrastructure and services. Making security data collection and analysis intelligent and capable of quickly spotting, learning from, and addressing zero-day threats is essential to economizing of resources and accessing the right information at the right time. This is achieved through the configuration of configurable collection probes and the adaptation of different collection strategies. The chapter further addresses how, inter alia, (i) the nature and quality of collected data affects the efficiency and accu- racy of methods of attack detection and defense, (ii) the detection capability can be improved by correlating wide-ranging data sources and predictive analytics, (iii) the rate of the data collection at the various monitoring probes is tuned by manag- ing the appropriate levels and types of intelligence and adaptability of security monitoring, (iv) the optimization of bandwidth and storage of security informa- tion can be achieved by rendering adaptiveness and intelligence and by integrating smart security probes and a set of adaptive strategies and rules, and (v) the increased automation is achieved through a feedback loop of collection, detection, and pre- vention that allows the early detection and prevention of security compromises and consistently makes security analysis more effective.
2020
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Inglese
https://www.nowpublishers.com/article/BookDetails/9781680836868
Now Publishers
Delft
PAESI BASSI
Sì, ma tipo non specificato
Predictive analytics
Critical Financial Infrastructure
3
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
Habtamu Abie; Svetlana Boudko; Omri Soceanu; Lev Greenberg; Aidan Shribman; Beatriz GallegoNicasio; Enrico Cambiaso; Ivan Vaccari;Maurizio Aiello...espandi
info:eu-repo/semantics/bookPart
   Integrated Framework for Predictive and Collaborative Security of Financial Infrastructures
   FINSEC
   H2020
   786727
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/427772
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