Literature Database Entry

gruendl2008development


Martin Gründl, "Development of an Event Correlation Engine," Master's Thesis (Diplomarbeit), Department of Computer Science, University of Erlangen, March 2008. (Advisors: Tobias Limmer and Falko Dressler)

Abstract

The prevalence of e-commerce technologies and the increasing usage of Internet protocols for critical infrastructures constantly increase the potential impact of computer security incidents on the economy and our everyday life. To detect malicious activity, to warn possible victims in time and to initiate preventive countermeasures, the German Federal Office for Information Security (BSI) funded multiple projects in order to work towards an early warning system. Important components of such a system are event correlation systems, which aggregate and prioritize events produced by sensors such as intrusion detection systems. A number of first proposals can be found in the literature. Most of them are rather complex and only suited for monitoring well-known networks. Therefore, the PRISM++ correlation engine, a new system for event correlation, which supports both real-time analysis and batch processing of received events, has been developed. It offers a flexible and extensible, yet lightweight architecture. The framework also facilitates the implementation of correlation algorithms and event processing in general. Access to the generated alerts as well as to the previously received events is provided by a web interface, which enables the user to further analyze the current situation or previous incidents. I performed initial tests using some first modules, ranging from simple correlation algorithms to the integration of external metadata, indicate sufficient performance for real-time processing on event streams. Consequently, the flexible environment of the PRISM++ correlation engine provides an excellent solution for both researchers and commercial projects, as it enables its audience to easily modify its module configuration or develop additional components.

Quick access

BibTeX BibTeX

Contact

Martin Gründl

BibTeX reference

@phdthesis{gruendl2008development,
    author = {Gr{\"{u}}ndl, Martin},
    advisor = {Limmer, Tobias and Dressler, Falko},
    title = {{Development of an Event Correlation Engine}},
    institution = {Department of Computer Science},
    year = {2008},
    month = {March},
    location = {Erlangen, Germany},
    school = {University of Erlangen},
    type = {Master's Thesis (Diplomarbeit)},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all 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, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.