DataPrivacyPlus - Managing Personal Data Risks Across Supply Chains

物联网（IoT）有望为现有和新兴公司，特别是创新型中小企业创造新的产品和收入来源。然而，这导致有意或无意地大大增加了个人数据收集。个人数据供应链包含许多数据泄露、攻击或未经许可被重用的地方。随着与隐私相关的违规行为带来的风险越来越大，以及欧盟通用数据保护条例（General Data Protectionregulation）中引入了更严格的合规要求（和相关处罚），组织面临着改善其隐私实践的压力。然而，中小企业尤其缺乏负担得起的隐私工具来协助管理个人信息风险，只有少数可用的工具是针对拥有专业隐私官的企业的。该项目将最先进的隐私思想和方法结合在一起，创建了针对中小企业的DataPrivacyPlus隐私风险管理工具，并提供模板，为联网汽车（远程信息处理）和智能城市（IoT）垂直市场定制服务，从而提供一系列负担得起的隐私管理服务。财务汇总表-如何完成本节

The Internet of Things (IoT) promises to create new products and revenue streams for existing and emergingcompanies, and in particular innovative SMEs. However, this results in vastly increased personal data collection,both intentional and unintentional. The personal data supply chain comprises many places for data to leak, beattacked, or be reused without permission. With growing risks arising from privacy-related breaches, and theintroduction of greater compliance requirements (and associated penalties) in the EU General Data Protectionregulation, organisations are under pressure to improve their privacy practices.However, SMEs in particular lack affordable privacy tools to assist in management of personal information risks,with the few that are available targeted at enterprises with professional privacy officers. This project bringsstate-of-the-art privacy thinking and methodology together to create the DataPrivacyPlus privacy riskmanagement tools aimed at SMEs, with templates to customise the service for connected car (telematics) andsmart cities (IoT) vertical markets, leading to a range of affordable privacy management services.Finance Summary Table – How to complete this section