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First International Conference on Autonomic Computing (ICAC'04)
New York, New York
May 17-May 18
ISBN: 0-7695-2114-2
ASCII Text
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Guangzhi Qu, Salim Hariri, Santosh Jangiti, Jayprakash Rudraraju, Seungchan Oh, Samer Fayssal, Guangsen Zhang, Manish Parashar, "Online Monitoring and Analysis for Self-Protection against Network Attacks," Autonomic Computing, International Conference on, pp. 324-325, First International Conference on Autonomic Computing (ICAC'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICAC.2004.42,
author = {Guangzhi Qu and Salim Hariri and Santosh Jangiti and Jayprakash Rudraraju and Seungchan Oh and Samer Fayssal and Guangsen Zhang and Manish Parashar},
title = {Online Monitoring and Analysis for Self-Protection against Network Attacks},
journal ={Autonomic Computing, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2114-2},
pages = {324-325},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICAC.2004.42},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Autonomic Computing, International Conference on
TI - Online Monitoring and Analysis for Self-Protection against Network Attacks
SN - 0-7695-2114-2
SP324
EP325
A1 - Guangzhi Qu,
A1 - Salim Hariri,
A1 - Santosh Jangiti,
A1 - Jayprakash Rudraraju,
A1 - Seungchan Oh,
A1 - Samer Fayssal,
A1 - Guangsen Zhang,
A1 - Manish Parashar,
PY - 2004
KW - null
VL - 0
JA - Autonomic Computing, International Conference on
ER -
 
Guangzhi Qu, University of Arizona
Salim Hariri, University of Arizona
Santosh Jangiti, University of Arizona
Jayprakash Rudraraju, University of Arizona
Seungchan Oh, University of Arizona
Samer Fayssal, University of Arizona
Guangsen Zhang, Rutgers University
Manish Parashar, Rutgers University
In this paper, we present an online monitoring and analysis framework to achieve self-protection against a wide range of network attacks. Our approach uses the software agents to online monitor several attributes to characterize the state of any network or computing resource as normal, uncertain, or abnormal. The software agents execute the appropriate recovery mechanisms once they determine that a service, and/or a network device is operating abnormally. We have developed a test bed to demonstrate and validate our approach to protect against several well-known attacks.
Citation:
Guangzhi Qu, Salim Hariri, Santosh Jangiti, Jayprakash Rudraraju, Seungchan Oh, Samer Fayssal, Guangsen Zhang, Manish Parashar, "Online Monitoring and Analysis for Self-Protection against Network Attacks," icac, pp.324-325, First International Conference on Autonomic Computing (ICAC'04), 2004
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