{"title":"度量很重要:测量电子产品信任的艺术","authors":"Jonathan Cruz, P. Mishra, S. Bhunia","doi":"10.1145/3316781.3323488","DOIUrl":null,"url":null,"abstract":"Electronic hardware trust is an emerging concern for all stakeholders in the semiconductor industry. Trust issues in electronic hardware span all stages of its life cycle - from creation of intellectual property (IP) blocks to manufacturing, test and deployment of hardware components and all abstraction levels - from chips to printed circuit boards (PCBs) to systems. The trust issues originate from a horizontal business model that promotes reliance of third-party untrusted facilities, tools, and IPs in the hardware life cycle. Today, designers are tasked with verifying the integrity of third-party IPs before incorporating them into system-on-chip (SoC) designs. Existing trust metric frameworks have limited applicability since they are not comprehensive. They capture only a subset of vulnerabilities such as potential vulnerabilities introduced through design mistakes and CAD tools, or quantify features in a design that target a particular Trojan model. Therefore, current practice uses ad-hoc security analysis of IP cores. In this paper, we propose a vector-based comprehensive coverage metric that quantifies the overall trust of an IP considering both vulnerabilities and direct malicious modifications. We use a variable weighted sum of a design's functional coverage, structural coverage, and asset coverage to assess an IP's integrity. Designers can also effectively use our trust metric to compare the relative trustworthiness of functionally equivalent third-party IPs. To demonstrate the applicability and usefulness of the proposed metric, we utilize our trust metric on Trojan-free and Trojan-inserted variants of an IP. Our results demonstrate that we are able to successfully distinguish between trusted and untrusted IPs.","PeriodicalId":391209,"journal":{"name":"Proceedings of the 56th Annual Design Automation Conference 2019","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"The Metric Matters: The Art of Measuring Trust in Electronics\",\"authors\":\"Jonathan Cruz, P. Mishra, S. Bhunia\",\"doi\":\"10.1145/3316781.3323488\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electronic hardware trust is an emerging concern for all stakeholders in the semiconductor industry. Trust issues in electronic hardware span all stages of its life cycle - from creation of intellectual property (IP) blocks to manufacturing, test and deployment of hardware components and all abstraction levels - from chips to printed circuit boards (PCBs) to systems. The trust issues originate from a horizontal business model that promotes reliance of third-party untrusted facilities, tools, and IPs in the hardware life cycle. Today, designers are tasked with verifying the integrity of third-party IPs before incorporating them into system-on-chip (SoC) designs. Existing trust metric frameworks have limited applicability since they are not comprehensive. They capture only a subset of vulnerabilities such as potential vulnerabilities introduced through design mistakes and CAD tools, or quantify features in a design that target a particular Trojan model. Therefore, current practice uses ad-hoc security analysis of IP cores. In this paper, we propose a vector-based comprehensive coverage metric that quantifies the overall trust of an IP considering both vulnerabilities and direct malicious modifications. We use a variable weighted sum of a design's functional coverage, structural coverage, and asset coverage to assess an IP's integrity. Designers can also effectively use our trust metric to compare the relative trustworthiness of functionally equivalent third-party IPs. To demonstrate the applicability and usefulness of the proposed metric, we utilize our trust metric on Trojan-free and Trojan-inserted variants of an IP. Our results demonstrate that we are able to successfully distinguish between trusted and untrusted IPs.\",\"PeriodicalId\":391209,\"journal\":{\"name\":\"Proceedings of the 56th Annual Design Automation Conference 2019\",\"volume\":\"2011 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 56th Annual Design Automation Conference 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3316781.3323488\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 56th Annual Design Automation Conference 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3316781.3323488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Metric Matters: The Art of Measuring Trust in Electronics
Electronic hardware trust is an emerging concern for all stakeholders in the semiconductor industry. Trust issues in electronic hardware span all stages of its life cycle - from creation of intellectual property (IP) blocks to manufacturing, test and deployment of hardware components and all abstraction levels - from chips to printed circuit boards (PCBs) to systems. The trust issues originate from a horizontal business model that promotes reliance of third-party untrusted facilities, tools, and IPs in the hardware life cycle. Today, designers are tasked with verifying the integrity of third-party IPs before incorporating them into system-on-chip (SoC) designs. Existing trust metric frameworks have limited applicability since they are not comprehensive. They capture only a subset of vulnerabilities such as potential vulnerabilities introduced through design mistakes and CAD tools, or quantify features in a design that target a particular Trojan model. Therefore, current practice uses ad-hoc security analysis of IP cores. In this paper, we propose a vector-based comprehensive coverage metric that quantifies the overall trust of an IP considering both vulnerabilities and direct malicious modifications. We use a variable weighted sum of a design's functional coverage, structural coverage, and asset coverage to assess an IP's integrity. Designers can also effectively use our trust metric to compare the relative trustworthiness of functionally equivalent third-party IPs. To demonstrate the applicability and usefulness of the proposed metric, we utilize our trust metric on Trojan-free and Trojan-inserted variants of an IP. Our results demonstrate that we are able to successfully distinguish between trusted and untrusted IPs.