PROLEMus: A Proactive Learning-Based MAC Protocol Against PUEA and SSDF Attacks in Energy Constrained Cognitive Radio Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00107446" target="_blank" >RIV/00216224:14330/19:00107446 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TCCN.2019.2913397" target="_blank" >http://dx.doi.org/10.1109/TCCN.2019.2913397</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TCCN.2019.2913397" target="_blank" >10.1109/TCCN.2019.2913397</a>
Alternative languages
Result language
angličtina
Original language name
PROLEMus: A Proactive Learning-Based MAC Protocol Against PUEA and SSDF Attacks in Energy Constrained Cognitive Radio Networks
Original language description
Malicious users can exploit vulnerabilities in Cognitive Radio Networks (CRNs) and cause heavy performance degradation by Denial of Service (DoS) attacks. During operation, Cognitive Radios (CRs) spend a considerable amount of time to identify idle (free) channels for transmission. In addition, CRs also need additional security mechanisms to prevent malicious attacks. Proactive Model Predictive Control (MPC) based medium access control (MAC) protocols for CRs can quicken the idle channel identification by predicting future states of channels in advance. This provides enough time for CRs to carry out other calculations like DoS attack detection. However, such external detection techniques use additional power that makes them inappropriate for energy constrained applications. As a solution, this paper proposes a proactive learning based MAC protocol (PROLEMus) that shows immunity to two prominent CR based DoS attacks, namely Primary User Emulation Attack (PUEA) and Spectrum Sensing Data Falsification (SSDF) attack, without any external detection mechanism. PROLEMus shows an average of 6:2%, 8:9% and 12:4% improvement in channel utilization, backoff rate and sensing delay, respectively, with low prediction errors ( 1:8%) saving 19:65% energy, when compared to recently proposed MAC protocols like ProMAC aided with additional DoS attack detection mechanism.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/GBP202%2F12%2FG061" target="_blank" >GBP202/12/G061: Center of excellence - Institute for theoretical computer science (CE-ITI)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Cognitive Communications and Networking
ISSN
2332-7731
e-ISSN
2332-7731
Volume of the periodical
5
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
400-412
UT code for WoS article
000471115000017
EID of the result in the Scopus database
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