{"title":"Evidence and Trust: IoT Collaborative Security Mechanism","authors":"Bin Wen, Ziqiang Luo, Yazhi Wen","doi":"10.1109/ICIST.2018.8426148","DOIUrl":null,"url":null,"abstract":"The evidence has three properties including relevance, authenticity and legitimacy. For evidence, once implemented, it must not be tampered with and can always be traced back. For trust, the content can be forensics, so the relationship between each other is trustworthy and exchangeable value. Blockchain is a tamper-proof and unforgeable decentralized shared ledger that chunks data blocks chronologically into specific data structures and is cryptographically guaranteed. In this paper, we use the key technologies of blockchain to investigate and achieve collaborative security for IoT devices. This approach uses distributed crowd-sourcing to make tampering of critical data evidence (security). Combination of theoretical research and empirical validation, the paper tries to provide a technical operational and cost-effective solution for collaborative security with blockchain services and promoting the key data stability and self-healing ability.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Eighth International Conference on Information Science and Technology (ICIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2018.8426148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The evidence has three properties including relevance, authenticity and legitimacy. For evidence, once implemented, it must not be tampered with and can always be traced back. For trust, the content can be forensics, so the relationship between each other is trustworthy and exchangeable value. Blockchain is a tamper-proof and unforgeable decentralized shared ledger that chunks data blocks chronologically into specific data structures and is cryptographically guaranteed. In this paper, we use the key technologies of blockchain to investigate and achieve collaborative security for IoT devices. This approach uses distributed crowd-sourcing to make tampering of critical data evidence (security). Combination of theoretical research and empirical validation, the paper tries to provide a technical operational and cost-effective solution for collaborative security with blockchain services and promoting the key data stability and self-healing ability.