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Crowdsourced Misuse Detection in Dynamic Spectrum Sharing Wireless Networks

Authors:
Debarun Das
Taieb Znati
Martin Weiss
Pedro Bustamante
Marcela Gomez
Stephanie Rose

Keywords: volunteers; sentinels; ex post enforcement; crowdsourced monitoring; volunteer selection

Abstract:
This paper proposes a spectrum enforcement framework by mobile, crowdsourced agents, who work in collaboration with a trustworthy infrastructure. To address the scarcity of spectrum, the Federal Communications Commission (FCC) mandated dynamic sharing of spectrum among the different tiers of users. The success of spectrum sharing, however, relies on the automated enforcement of spectrum policies. While most works in the past focus on automating spectrum enforcement before an actual harm has occurred, we focus on ex post spectrum enforcement, which happens during/after the occurrence of a potentially harmful event, but before/after an actual harm has occurred. The chief challenge here is to ensure efficient ex post enforcement. In order to achieve this, we focus on attaining maximum coverage of the region of enforcement, ensuring reliable and accurate detection of violation, and exploring a methodology to select qualified crowdsourced agents, called volunteers. We ensure maximum coverage of the given area of enforcement by proposing to divide it into regions using the Lloyd’s algorithm and solving the enforcement problem by a divide and conquer mechanism over the entire area. We determine qualification of volunteers based on their likelihood of being in a region, over a given time interval and on trust, which is based on their behavior over the past. Finally, we use a non-incentive-based algorithm to select qualified volunteers for every region in the given area. We simulate the enforcement framework in CSIM19 (C++ version) and analyze the performance of the proposed volunteer selection algorithm over the area of enforcement.

Pages: 74 to 81

Copyright: Copyright (c) IARIA, 2019

Publication date: March 24, 2019

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-695-8

Location: Valencia, Spain

Dates: from March 24, 2019 to March 28, 2019