MASSIF: A Promising Solution to Enhance Olympic Games IT Security

Nowadays, Olympic Games have become one of the most profitable global media events, becoming at the same way more and more attractive target from the terrorist perspective due to their media diffusion and international dimension. Critical for the success of such a highly visible event is protecting and securing the business and the supporting cyber infrastructure enabling it. In this context, the MASSIF project aims to provide a new generation SIEM framework for service infrastructures supporting intelligent, scalable, and multi-level/multi-domain security event processing and predictive security monitoring.

[1]  Alessandro Cilardo,et al.  Adaptable Parsing of Real-Time Data Streams , 2007, 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07).

[2]  Roland Rieke,et al.  Predictive Security Analysis for Event-Driven Processes , 2010, MMM-ACNS.

[3]  Carsten Rudolph,et al.  Secure Digital Chains of Evidence , 2011, 2011 Sixth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering.

[4]  Roland Rieke,et al.  Identification of Security Requirements in Systems of Systems by Functional Security Analysis , 2009, WADS.

[5]  Igor V. Kotenko,et al.  Security Analysis of Information Systems Taking into Account Social Engineering Attacks , 2011, 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing.

[6]  Cynthia A. Phillips,et al.  A graph-based system for network-vulnerability analysis , 1998, NSPW '98.

[7]  Alicia Ageno,et al.  Adaptive information extraction , 2006, CSUR.

[8]  Nora Cuppens-Boulahia,et al.  An ontology-based approach to react to network attacks , 2009, Int. J. Inf. Comput. Secur..

[9]  Roland Rieke.  Abstraction-based analysis of known and unknown vulnerabilities of critical information infrastructures , 2008, Int. J. Syst. Syst. Eng..

[10]  Patrick Valduriez,et al.  StreamCloud: A Large Scale Data Streaming System , 2010, 2010 IEEE 30th International Conference on Distributed Computing Systems.