On packet marking and Markov modeling for IP Traceback: A deep probabilistic and stochastic analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10245215" target="_blank" >RIV/61989100:27240/20:10245215 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/20:10245215
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1389128620311439" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1389128620311439</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.comnet.2020.107464" target="_blank" >10.1016/j.comnet.2020.107464</a>
Alternative languages
Result language
angličtina
Original language name
On packet marking and Markov modeling for IP Traceback: A deep probabilistic and stochastic analysis
Original language description
From many years, the methods to defend against Denial of Service attacks have been very attractive from different point of views, although network security is a large and very complex topic. Different techniques have been proposed and so-called packet marking and IP tracing procedures have especially demonstrated a good capacity to face different malicious attacks. While host-based DoS attacks are more easily traced and managed, network-based DoS attacks are a more challenging threat. In this paper, we discuss a powerful aspect of the IP traceback method, which allows a router to mark and add information to attack packets on the basis of a fixed probability value. We propose a potential method for modeling the classic probabilistic packet marking algorithm as Markov chains, allowing a closed form to be obtained for evaluating the correct number of received marked packets in order to build a meaningful attack graph and analyze how marking routers must behave to minimize the overall overhead.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computer Networks
ISSN
1389-1286
e-ISSN
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Volume of the periodical
182
Issue of the periodical within the volume
2020
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85089223636