{"title":"面向隐私感知系统的建模与分析框架","authors":"Pietro Colombo, E. Ferrari","doi":"10.1109/SocialCom-PASSAT.2012.12","DOIUrl":null,"url":null,"abstract":"Nowadays, almost any software application deals with private information. However, effective tools that support the specification and implementation of privacy-aware systems are still missing. This work makes a step to address this issue. In this paper we present MAPaS, a model based framework for the modeling and analysis of privacy-aware systems. MAPaS provides a modeling language for the privacy domain and a rich set of functionalities that allow users to easily analyze privacy-preserving characteristics of a system at the early stages of its development. In this paper, besides presenting the main modules of MaPaS, we show how it can effectively help in the development of privacy-aware systems.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"Towards a Modeling and Analysis Framework for Privacy-Aware Systems\",\"authors\":\"Pietro Colombo, E. Ferrari\",\"doi\":\"10.1109/SocialCom-PASSAT.2012.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, almost any software application deals with private information. However, effective tools that support the specification and implementation of privacy-aware systems are still missing. This work makes a step to address this issue. In this paper we present MAPaS, a model based framework for the modeling and analysis of privacy-aware systems. MAPaS provides a modeling language for the privacy domain and a rich set of functionalities that allow users to easily analyze privacy-preserving characteristics of a system at the early stages of its development. In this paper, besides presenting the main modules of MaPaS, we show how it can effectively help in the development of privacy-aware systems.\",\"PeriodicalId\":129526,\"journal\":{\"name\":\"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SocialCom-PASSAT.2012.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SocialCom-PASSAT.2012.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a Modeling and Analysis Framework for Privacy-Aware Systems
Nowadays, almost any software application deals with private information. However, effective tools that support the specification and implementation of privacy-aware systems are still missing. This work makes a step to address this issue. In this paper we present MAPaS, a model based framework for the modeling and analysis of privacy-aware systems. MAPaS provides a modeling language for the privacy domain and a rich set of functionalities that allow users to easily analyze privacy-preserving characteristics of a system at the early stages of its development. In this paper, besides presenting the main modules of MaPaS, we show how it can effectively help in the development of privacy-aware systems.