{"title":"PETIT:支持 PUF 的物联网网络信任评估框架","authors":"","doi":"10.1016/j.comnet.2024.110772","DOIUrl":null,"url":null,"abstract":"<div><p>Internet-of-Things (IoT) is characterized by the incorporation of resource constrained devices that are inter-networked in an ad-hoc manner. Given the diversity of the devices and the operating conditions, it is important to assess the trustworthiness of IoT nodes and factor it in the network management. Contemporary trust evaluation and management schemes found in the literature mostly consider observable network-level behavior parameters and initially assume that all nodes are equally trustworthy owing to the absence of historical data or background. Such an equal trust initialization approach raises concerns in terms of accuracy, fairness, and adaptability. This paper aims to mitigate these shortcomings by proposing a novel trust evaluation and aggregation framework. Our framework leverages hardware primitives such as Physical Unclonable Functions (PUFs) to assign trust scores at the network bootstrapping phase. The paper explores the establishment of both direct and recommendation based indirect trust score evaluation and detection of irregularities to ensure the dynamic, safe, and reliable operation of the network. Simulation outcomes demonstrate that the trust value computed through this mechanism effectively and precisely mirrors the node’s credibility.</p></div>","PeriodicalId":50637,"journal":{"name":"Computer Networks","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PETIT: PUF-enabled trust evaluation framework for IoT networks\",\"authors\":\"\",\"doi\":\"10.1016/j.comnet.2024.110772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Internet-of-Things (IoT) is characterized by the incorporation of resource constrained devices that are inter-networked in an ad-hoc manner. Given the diversity of the devices and the operating conditions, it is important to assess the trustworthiness of IoT nodes and factor it in the network management. Contemporary trust evaluation and management schemes found in the literature mostly consider observable network-level behavior parameters and initially assume that all nodes are equally trustworthy owing to the absence of historical data or background. Such an equal trust initialization approach raises concerns in terms of accuracy, fairness, and adaptability. This paper aims to mitigate these shortcomings by proposing a novel trust evaluation and aggregation framework. Our framework leverages hardware primitives such as Physical Unclonable Functions (PUFs) to assign trust scores at the network bootstrapping phase. The paper explores the establishment of both direct and recommendation based indirect trust score evaluation and detection of irregularities to ensure the dynamic, safe, and reliable operation of the network. Simulation outcomes demonstrate that the trust value computed through this mechanism effectively and precisely mirrors the node’s credibility.</p></div>\",\"PeriodicalId\":50637,\"journal\":{\"name\":\"Computer Networks\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Networks\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389128624006042\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389128624006042","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
PETIT: PUF-enabled trust evaluation framework for IoT networks
Internet-of-Things (IoT) is characterized by the incorporation of resource constrained devices that are inter-networked in an ad-hoc manner. Given the diversity of the devices and the operating conditions, it is important to assess the trustworthiness of IoT nodes and factor it in the network management. Contemporary trust evaluation and management schemes found in the literature mostly consider observable network-level behavior parameters and initially assume that all nodes are equally trustworthy owing to the absence of historical data or background. Such an equal trust initialization approach raises concerns in terms of accuracy, fairness, and adaptability. This paper aims to mitigate these shortcomings by proposing a novel trust evaluation and aggregation framework. Our framework leverages hardware primitives such as Physical Unclonable Functions (PUFs) to assign trust scores at the network bootstrapping phase. The paper explores the establishment of both direct and recommendation based indirect trust score evaluation and detection of irregularities to ensure the dynamic, safe, and reliable operation of the network. Simulation outcomes demonstrate that the trust value computed through this mechanism effectively and precisely mirrors the node’s credibility.
期刊介绍:
Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.