B4SDC: A Blockchain System for Security Data Collection in MANETs

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2022-06-01
Major/Subject
Mcode
Degree programme
Language
en
Pages
14
Series
IEEE Transactions on Big Data
Abstract
Security-related data collection is an essential part for attack detection and security measurement in Mobile Ad Hoc Networks (MANETs). A detection node (i.e., collector) should discover available routes to a collection node for data collection and collect security-related data during route discovery for determining reliable routes. However, few studies provide incentives for security-related data collection in MANETs. In this paper, we propose B4SDC, a blockchain system for security-related data collection in MANETs. Through controlling the scale of Route REQuest (RREQ) forwarding in route discovery, the collector can constrain its payment and simultaneously make each forwarder of control information (namely RREQs and Route REPlies, in short RREPs) obtain rewards as much as possible to ensure fairness. At the same time, B4SDC avoids collusion attacks with cooperative receipt reporting, and spoofing attacks by adopting a secure digital signature. Based on a novel Proof-of-Stake consensus mechanism by accumulating stakes through message forwarding, B4SDC not only provides incentives for all participating nodes, but also avoids forking and ensures high efficiency and real decentralization. We analyze B4SDC in terms of incentives and security, and evaluate its performance through simulations. The thorough analysis and experimental results show the efficacy and effectiveness of B4SDC.
Description
Keywords
Ad hoc networks, Bitcoin, Blockchain, blockchain, Data collection, incentive mechanism, MANETs, Mobile computing, security-related data collection, Task analysis
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Citation
Liu, G, Dong, H, Yan, Z, Zhou, X & Shimizu, S 2022, ' B4SDC: A Blockchain System for Security Data Collection in MANETs ', IEEE Transactions on Big Data, vol. 8, no. 3, pp. 739 - 752 . https://doi.org/10.1109/TBDATA.2020.2981438