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Defending financial infrastructures through early warning systems: the intelligence cloud approach

Published: 13 April 2009 Publication History

Abstract

Recent evidence of successful Internet-based attacks and frauds involving financial institutions highlights the inadequacy of the existing protection mechanisms, in which each instutition implements its own isolated monitoring and reaction strategy. Analyzing on-line activity and detecting attacks on a large scale is an open issue due to the huge amounts of events that should be collected and processed. In this paper, we propose a large-scale distributed event processing system, called intelligence cloud, allowing the financial entities to participate in a widely distributed monitoring and detection effort through the exchange and processing of information locally available at each participating site. We expect this approach to be able to handle large amounts of events arriving at high rates from multiple domains of the financial scenario. We describe a framework based on the intelligence cloud where each participant can receive early alerts enabling them to deploy proactive countermeasures and mitigation strategies.

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  • (2016)A Conceptual Model for Cloud Computing Adoption by SMEs in AustraliaWeb-Based Services10.4018/978-1-4666-9466-8.ch015(307-334)Online publication date: 2016
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cover image ACM Other conferences
CSIIRW '09: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies
April 2009
952 pages
ISBN:9781605585185
DOI:10.1145/1558607
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 13 April 2009

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  • (2020)Optimal early warning defense of N-version programming service against co-resident attacks in cloud systemReliability Engineering & System Safety10.1016/j.ress.2020.106969201(106969)Online publication date: Sep-2020
  • (2018)Security of Separated Data in Cloud Systems with Competing Attack Detection and Data Theft ProcessesRisk Analysis10.1111/risa.1321939:4(846-858)Online publication date: 12-Oct-2018
  • (2016)A Conceptual Model for Cloud Computing Adoption by SMEs in AustraliaWeb-Based Services10.4018/978-1-4666-9466-8.ch015(307-334)Online publication date: 2016
  • (2016)Implementation of Verified Set Operation Protocols Based on Bilinear AccumulatorsCryptology and Network Security10.1007/978-3-319-48965-0_41(626-636)Online publication date: 28-Oct-2016
  • (2015)A Conceptual Model for Cloud Computing Adoption by SMEs in AustraliaDelivery and Adoption of Cloud Computing Services in Contemporary Organizations10.4018/978-1-4666-8210-8.ch005(100-128)Online publication date: 2015
  • (2013)Does a Privacy Risk Impose a Real Threat in Collaborative Environments?Proceedings of the 2013 Palestinian International Conference on Information and Communication Technology10.1109/PICICT.2013.21(66-70)Online publication date: 15-Apr-2013
  • (2012)A Privacy Preserving Scalable Architecture for Collaborative Event CorrelationProceedings of the 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications10.1109/TrustCom.2012.48(837-843)Online publication date: 25-Jun-2012
  • (2012)How Not to Be Seen in the Cloud: A Progressive Privacy Solution for Desktop-as-a-ServiceOn the Move to Meaningful Internet Systems: OTM 201210.1007/978-3-642-33615-7_4(492-510)Online publication date: 2012
  • (2011)Enhancement of Critical Financial Infrastructure Protection Using Trust ManagementSecure and Trust Computing, Data Management, and Applications10.1007/978-3-642-22365-5_19(156-165)Online publication date: 2011
  • (2010)Data Dissemination supporting collaborative complex event processingProceedings of the First International Workshop on Data Dissemination for Large Scale Complex Critical Infrastructures10.1145/1862821.1862822(3-8)Online publication date: 27-Apr-2010

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