A Blockchain-Based Tamper-Resistant Logging Framework
- Austin, TH; Di Troia, F
- 2022
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【Author】 Austin, Thomas H.; Di Troia, Fabio
【Source】SILICON VALLEY CYBERSECURITY CONFERENCE, SVCC 2022
【影响因子】
【Abstract】Since its introduction in Bitcoin, the blockchain has proven to be a versatile data structure. In its role as an immutable ledger, it has grown beyond its initial use in financial transactions to be used in recording a wide variety of other useful information. In this paper, we explore the application of the blockchain outside of its traditional decentralized, financial domain. We show how, even with only a single "mining" node, a proof-of-work blockchain can be the cornerstone of a tamper resistant logging framework. By attaching a proof-of-work to blocks of logging messages, we make it increasingly difficult for an attacker to modify those logs even after totally compromising the system. Furthermore, we discuss various strategies an attacker might take to modify the logs without detection and show how effective those evasion techniques are against statistical analysis. [Austin, Thomas H.; Di Troia, Fabio] San Jose State Univ, San Jose, CA 95192 USA; [Austin, Thomas H.; Di Troia, Fabio] Silicon Valley Cybersecur Inst, San Jose, CA 95070 USA California State University System; San Jose State University Austin, TH (通讯作者),San Jose State Univ, San Jose, CA 95192 USA.; Austin, TH (通讯作者),Silicon Valley Cybersecur Inst, San Jose, CA 95070 USA. thomas.austin@sjsu.edu; fabio.ditroia@sjsu.edu 30 0 0 0 0 SPRINGER INTERNATIONAL PUBLISHING AG CHAM GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND 1865-0929 1865-0937 978-3-031-24048-5; 978-3-031-24049-2 COMM COM INF SC 2022 1683 90 104 10.1007/978-3-031-24049-2_6 http://dx.doi.org/10.1007/978-3-031-24049-2_6 15 Computer Science, Information Systems; Computer Science, Theory & Methods Conference Proceedings Citation Index - Science (CPCI-S) Computer Science BU9YP hybrid 2023-05-06 WOS:000966720900006
【Keywords】Blockchain; Tamper-resistance; Logging
【发表时间】2022
【收录时间】2023-05-11
【文献类型】理论模型
【主题类别】
区块链应用-虚拟经济-金融领域
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