Hongying Du, Bennett Narron, Nirav Ajmeri, E. Berglund, J. Doyle, Munindar P. Singh
{"title":"在一个安全、协作的环境中,理解在可变可观察性下的制裁","authors":"Hongying Du, Bennett Narron, Nirav Ajmeri, E. Berglund, J. Doyle, Munindar P. Singh","doi":"10.1145/2746194.2746206","DOIUrl":null,"url":null,"abstract":"Norms are a promising basis for governance in secure, collaborative environments---systems in which multiple principals interact. Yet, many aspects of norm-governance remain poorly understood, inhibiting adoption in real-life collaborative systems. This work focuses on the combined effects of sanction and the observability of the sanctioner in a secure, collaborative environment. We present CARLOS, a multiagent simulation of graduate students performing research within a university lab setting, to explore these phenomena. The simulation consists of agents maintaining \"compliance\" to enforced security norms while remaining \"motivated\" as researchers. We hypothesize that (1) delayed observability of the environment would lead to greater motivation of agents to complete research tasks than immediate observability and (2) sanctioning a group for a violation would lead to greater compliance to security norms than sanctioning an individual. We find that only the latter hypothesis is supported. Group sanction is an interesting topic for future research regarding a means for norm-governance which yields significant compliance with enforced security policy at a lower cost. Our ultimate contribution is to apply social simulation as a way to explore environmental properties and policies to evaluate key transitions in outcome, as a basis for guiding further and more demanding empirical research.","PeriodicalId":134331,"journal":{"name":"Proceedings of the 2015 Symposium and Bootcamp on the Science of Security","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Understanding sanction under variable observability in a secure, collaborative environment\",\"authors\":\"Hongying Du, Bennett Narron, Nirav Ajmeri, E. Berglund, J. Doyle, Munindar P. Singh\",\"doi\":\"10.1145/2746194.2746206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Norms are a promising basis for governance in secure, collaborative environments---systems in which multiple principals interact. Yet, many aspects of norm-governance remain poorly understood, inhibiting adoption in real-life collaborative systems. This work focuses on the combined effects of sanction and the observability of the sanctioner in a secure, collaborative environment. We present CARLOS, a multiagent simulation of graduate students performing research within a university lab setting, to explore these phenomena. The simulation consists of agents maintaining \\\"compliance\\\" to enforced security norms while remaining \\\"motivated\\\" as researchers. We hypothesize that (1) delayed observability of the environment would lead to greater motivation of agents to complete research tasks than immediate observability and (2) sanctioning a group for a violation would lead to greater compliance to security norms than sanctioning an individual. We find that only the latter hypothesis is supported. Group sanction is an interesting topic for future research regarding a means for norm-governance which yields significant compliance with enforced security policy at a lower cost. Our ultimate contribution is to apply social simulation as a way to explore environmental properties and policies to evaluate key transitions in outcome, as a basis for guiding further and more demanding empirical research.\",\"PeriodicalId\":134331,\"journal\":{\"name\":\"Proceedings of the 2015 Symposium and Bootcamp on the Science of Security\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2015 Symposium and Bootcamp on the Science of Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2746194.2746206\",\"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 2015 Symposium and Bootcamp on the Science of Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2746194.2746206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding sanction under variable observability in a secure, collaborative environment
Norms are a promising basis for governance in secure, collaborative environments---systems in which multiple principals interact. Yet, many aspects of norm-governance remain poorly understood, inhibiting adoption in real-life collaborative systems. This work focuses on the combined effects of sanction and the observability of the sanctioner in a secure, collaborative environment. We present CARLOS, a multiagent simulation of graduate students performing research within a university lab setting, to explore these phenomena. The simulation consists of agents maintaining "compliance" to enforced security norms while remaining "motivated" as researchers. We hypothesize that (1) delayed observability of the environment would lead to greater motivation of agents to complete research tasks than immediate observability and (2) sanctioning a group for a violation would lead to greater compliance to security norms than sanctioning an individual. We find that only the latter hypothesis is supported. Group sanction is an interesting topic for future research regarding a means for norm-governance which yields significant compliance with enforced security policy at a lower cost. Our ultimate contribution is to apply social simulation as a way to explore environmental properties and policies to evaluate key transitions in outcome, as a basis for guiding further and more demanding empirical research.