PROLEMus: A Proactive Learning-Based MAC Protocol Against PUEA and SSDF Attacks in Energy Constrained Cognitive Radio Networks

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

PROLEMus: A Proactive Learning-Based MAC Protocol Against PUEA and SSDF Attacks in Energy Constrained Cognitive Radio Networks

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

PROLEMus: A Proactive Learning-Based MAC Protocol Against PUEA and SSDF Attacks in Energy Constrained Cognitive Radio Networks

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/GBP202%2F12%2FG061" target="_blank" >GBP202/12/G061: Centrum excelence - Institut teoretické informatiky (CE-ITI)</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Cognitive Communications and Networking

ISSN

2332-7731

e-ISSN

2332-7731

Svazek periodika

5

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

400-412

Kód UT WoS článku

000471115000017

EID výsledku v databázi Scopus

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