TC: Small : Privacy-Aware Design Strategies for Mobile Communications and Computing

本研究计划的目标是为信息网络开发隐私意识设计实践。该计划是基于这样一种认识，即收集用户个人信息的信息网络可能会产生技术和道德上的双重影响，对个人和社会造成严重的下游后果。这个程序确立了系统设计者保护消费者的道德义务，为保护消费者的技术设计创造了规则和算法？并为设计师、消费者和政策制定者开发教育实践，以进一步使用这些规则和算法。通过发展对使用数据收集所涉及的技术和道德问题的批判性理解，该计划激发了进一步使用技术的设计实践，同时支持个人隐私和自主权。正在开发的隐私意识设计实践构成了一种设计方法，指导执业工程师/计算机科学家创建移动计算和通信系统，最大限度地减少从用户和公众那里收集的数据。设计工具正在产生，以促进设计实践的应用。这些工具包括用于匿名注册、身份验证和漫游的算法。正在创建案例研究，以证明拟议规则和支持工具的效力。这些研究包括对隐私敏感的蜂窝电话网络和需求响应系统的电力消耗监测网络的设计。

The objective of this research program is the development of privacy-aware design practices for information networks. The program is based on the recognition that an information network that collects personal information about its users can have both technical and moral implications, creating serious downstream consequences to the individual and to society. This program establishes the moral obligations of systems designers to protect consumers, creates rules and algorithms for technical designs that protect consumers? privacy rights, and develops educational practices for designers, consumers, and policy makers that further the use of these rules and algorithms. By developing a critical understanding of the technical and moral issues implicated in the use of data collection, the program motivates design practices that further the use of technology while supporting individual privacy and autonomy. The privacy-aware design practices being developed constitute a design methodology that guides the practicing engineer/computer scientist in the creation of mobile computing and communication systems that minimize the collection of data from users and the public at large. Design tools are being produced to facilitate the application of the design practices. These tools include algorithms for anonymous registration, authentication, and roaming. Case studies are being created to demonstrate the efficacy of the proposed rules and the supporting tools. These studies include designs for privacy-aware cellular telephone networks and power consumption monitoring networks for demand-response systems.