@inproceedings{5ec984f906ce497fad30b618513074bd,
title = "Towards a Dynamic Reputation Management Scheme for Cross-Chain Transactions",
abstract = "Recently, research communities have dedicated their efforts to the development of versatile and innovative Blockchain-based application systems. These systems are usually independent and thus difficult to be integrated and cooperated with each other during cross-chain transactions in terms of the interoperability perspective. In addition, there may be potential risks once external malicious attackers desire to control or manipulate nodes in cross-chain systems. It is necessary to have a solution preventing users{\textquoteright} misbehaviors during the process of information and value exchange among different blockchains. In this paper, we propose a dynamic reputation management scheme which can effectively detect misbehaviors and identify potential security risks during cross-chain transactions. Our scheme conducts a mechanism evaluating reputation and trustworthiness of nodes and chains, respectively, through their current state and transactions history. This characteristic can help any cross-chains system well-react and be resistant against ongoing-endangered behaviors within a reasonable computation time.",
keywords = "Blockchain, Cross-chains, Interoperability, Reputation management",
author = "Lee, {Lin Fa} and Yeh, {Kuo Hui}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; AI Crypto and Security Workshop, AI-CryptoSec 2022, Theory and Application of Blockchain and NFT Workshop, TA-BC-NFT 2022, and Mathematical Science of Quantum Safety and its Application Workshop, MathSci-Qsafe 2022 held in conjunction with 4th International Conference on Science of Cyber Security Workshops, SciSec 2022 ; Conference date: 10-08-2022 Through 12-08-2022",
year = "2022",
doi = "10.1007/978-981-19-7769-5_10",
language = "English",
isbn = "9789811977688",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "131--134",
editor = "Chunhua Su and Kouichi Sakurai",
booktitle = "Science of Cyber Security - SciSec 2022 Workshops - AI-CryptoSec, TA-BC-NFT, and MathSci-Qsafe 2022, Revised Selected Papers",
address = "德國",
}