Literature Database Entry

dressler2004bio-inspired


Falko Dressler, "Bio-inspired mechanisms for efficient and adaptive network security mechanisms," Proceedings of Dagstuhl Seminar 04411 on Service Management and Self-Organization in IP-based Networks, Schloss Dagstuhl, Wadern, Germany, October 2004.

Abstract

In recent years, many efforts have been made in developing algorithms and methodologies for building efficient network security mechanisms. The primary requirements are efficiency, adaptability, and scalability. Network security mechanisms are composed of several components. First, high-performance network monitoring entities are required allowing the analysis of transmitted data even in high-speed backbone networks. Secondly, algorithms to detect various kinds of threats have to be developed. Based on the monitored data, statistical anomaly detection methods and policy-based filters can be employed. Finally, the control loop must be closed by involving firewall devices against ongoing attacks. Organic computing is attempting to build high-scalable architectures, which are self-organizing, self-maintaining, and self-healing. We try to study the processes in computer networks using mechanisms known from molecular biology as the key paradigm. This novel approach shows many similarities between computer networking and cellular mechanisms. Based on the knowledge about cellular metabolism, new concepts for the behavior patterns of routers, monitor systems, and firewalls can be deduced and the efficiency of individual sub-systems can be increased. This work focuses on the area of network security as one research area with high demand for high-scalable mechanisms providing the needed functionality. We see the proposed mechanism as a generic approach for self-organizing, i.e. self-configuring, self-managing, self-healing, and adaptive solutions in computer networking.

Quick access

Authors' Version PDF (PDF on this web site)
BibTeX BibTeX

Contact

Falko Dressler

BibTeX reference

@inproceedings{dressler2004bio-inspired,
    author = {Dressler, Falko},
    title = {{Bio-inspired mechanisms for efficient and adaptive network security mechanisms}},
    booktitle = {Dagstuhl Seminar 04411 on Service Management and Self-Organization in IP-based Networks},
    year = {2004},
    month = {October},
    address = {Schloss Dagstuhl, Wadern, Germany},
    publisher = {Schloss Dagstuhl},
    url = {http://drops.dagstuhl.de/opus/volltexte/2005/87/},
   }
   
   

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.