TY - GEN
T1 - Spectrum Misuse Detection in Cooperative Wireless Networks
AU - Das, Debarun
AU - Rose, J. Stepanie
AU - Znati, Taieb
AU - Bustamante, Pedro
AU - Weiss, Martin
AU - Gomez, Marcela M.
N1 - Funding Information:
ACKNOWLEDGMENT This work was sponsored in part by the National Science Foundation through grants 1265886, 1547241, 1563832, and 1642928.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Cooperative wireless networks, enabled by Cognitive Radios, facilitate mobile users to dynamically share access to spectrum. However, spectrum bands can be accessed illegitimately by malicious users. Therefore, the success of dynamic spectrum sharing relies on automated enforcement of spectrum policies. While the focus has been on ex ante spectrum enforcement, this work explores new approaches to address efficient ex post spectrum enforcement. The main objective of this work is to ensure maximum coverage of the area of enforcement and accurate detection of spectrum access violation. The first objective is achieved with the help of Lloyd's algorithm to divide the enforcement area into a set of uniformly sized coverage regions. The interference detection accuracy is achieved through crowdsourcing of the spectrum access monitoring to volunteers, based on their computational capabilities, location attributes and reputation. A simulation framework was developed in CSIM19 (C++ version) to analyze the performance of the proposed system over the entire area of enforcement. The results show that the proposed scheme ensures efficient coverage of all the channels and regions in the area of enforcement and a high average accuracy of detection.
AB - Cooperative wireless networks, enabled by Cognitive Radios, facilitate mobile users to dynamically share access to spectrum. However, spectrum bands can be accessed illegitimately by malicious users. Therefore, the success of dynamic spectrum sharing relies on automated enforcement of spectrum policies. While the focus has been on ex ante spectrum enforcement, this work explores new approaches to address efficient ex post spectrum enforcement. The main objective of this work is to ensure maximum coverage of the area of enforcement and accurate detection of spectrum access violation. The first objective is achieved with the help of Lloyd's algorithm to divide the enforcement area into a set of uniformly sized coverage regions. The interference detection accuracy is achieved through crowdsourcing of the spectrum access monitoring to volunteers, based on their computational capabilities, location attributes and reputation. A simulation framework was developed in CSIM19 (C++ version) to analyze the performance of the proposed system over the entire area of enforcement. The results show that the proposed scheme ensures efficient coverage of all the channels and regions in the area of enforcement and a high average accuracy of detection.
KW - cooperative wireless networks
KW - crowdsourced spectrum monitoring
KW - ex post enforcement
KW - reputation
KW - sentinel
KW - volunteer
KW - volunteer selection
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U2 - 10.1109/CCNC46108.2020.9045655
DO - 10.1109/CCNC46108.2020.9045655
M3 - Conference contribution
AN - SCOPUS:85085509718
T3 - 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
BT - 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020
Y2 - 10 January 2020 through 13 January 2020
ER -