ACM Home Page
Please provide us with feedback. Feedback
Application-level simulation for network security
Full text PdfPdf (1.08 MB)
Source International Conference on Simulation Tools and Techniques for Commuications, Networks and Systems & Workshops archive
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops table of contents
Marseille, France
SESSION: Technical program table of contents
Article No. 33  
Year of Publication: 2008
ISBN:978-963-9799-20-2
Authors
Rainer Bye  Universität Berlin
Stephan Schmidt  Universität Berlin
Katja Luther  Universität Berlin
Sahin Albayrak  Universität Berlin
Sponsors
: ICST
: INRIA
Publisher
Bibliometrics
Downloads (6 Weeks): 18,   Downloads (12 Months): 174,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

We introduce and describe a novel network simulation tool called NeSSi (Network Security Simulator). NeSSi incorporates a variety of features relevant to network security distinguishing it from general-purpose network simulators. Its capabilities such as profilebased automated attack generation, traffic analysis and interface support for the plug-in of detection algorithms allow it to be used for security research and evaluation purposes. NeSSi has been utilized for testing intrusion detection algorithms, conducting network security analysis, and developing distributed security frameworks at the application level. NeSSi is built upon the agent component-ware framework JIAC [5], resulting in a distributed and easy-to-extend architecture. In this paper, we provide an overview of the NeSSi architecture and briefly demonstrate its usage in three example security research projects. These projects comprise of evaluation of stand-alone detection unit performance, detection device deployment at central nodes in the network and comparison of different detection algorithms.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
M. Bloem, T. Alpcan, S. Schmidt, and T. Başar. Malware filtering for network security using weighted optimality measures. In Proc. of 2007 IEEE Multi-conference on Systems and Control. IEEE, 2007. to appear.
 
2
U. Brandes. A faster algorithm for betweenness centrality. Journal of Mathematical Sociology, 25(2): 163--177, 2001.
 
3
R. Bye, K. Luther, S. A. Çamtepe, T. Alpcan, şahin Albayrak, and B. Yener. Decentralized Detector Generation in Cooperative Intrusion Detection Systems. In S. Masuzawa, Toshimitsu; Tixeuil, editor, Stabilization, Safety, and Security of Distributed Systems 9th International Symposium, SSS 2007 Paris, France, November 14--16, 2007 Proceedings, Lecture Notes in Computer Science, Vol. 4838. Springer, 2008.
 
4
5
 
6
M. Kodialam and T. Lakshman. Detecting network intrusions via sampling: A game theoretic approach. In Proceedings IEEE INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications Societies, volume 3, pages 1880--1889, Apr. 2003.
 
7
 
8
B. Liu, D. Figueiredo, Y. Guo, J. Kurose, and D. Towsley. A study of networks simulation efficiency: Fluid simulation vs. packet-level simulation. In INFOCOM 2001. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE, volume 3, pages 1244--1253, 2001.
 
9
K. Luther, R. Bye, T. Alpcan, S. Albayrak, and A. Müller. A Cooperative AIS Framework for Intrusion Detection. In Proceedings of the IEEE International Conference on Communications (ICC 2007), 2007.
 
10
 
11
ns-3 project. NS-3 network simulator. http://www.nsnam.org/docs/architecture.pdf.
12
 
13
Scalable Network Technologies Inc. Qualnet. http://www.scalable-networks.com.
 
14
S. Schmidt, T. Alpcan, S. Albayrak, and A. Müller. A Monitor Placement Game for Intrusion Detection. In Proc. of CRITIS, 2nd International Workshop on Critical Information Infrastructures Security, Lecture Notes in Computer Science. Springer, 2007. to appear.
 
15
USC Information Sciences Institute. NS-2 network simulator 2.31. HTTP://WWW.ISI.EDU/NSNAM/NS/DOC/NS_DOC.PDF.
 
16
 
17
J. B. Yun, E. K. Park, E. G. Im, and H. P. In. A scalable, ordered scenario-based network security simulator. In Systems Modeling and Simulation: Theory and Applications, volume 3389/2005 of Lecture Notes in Computer Science (LNCS), pages 487--494. Springer-Verlag, 2005.


Collaborative Colleagues:
Rainer Bye: colleagues
Stephan Schmidt: colleagues
Katja Luther: colleagues
Sahin Albayrak: colleagues