为社会感知开发物联网应用的隐私思维:软件工程挑战

Charith Perera, A. Vasilakos
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引用次数: 0

摘要

社会传感旨在通过使用人群作为传感器载体(例如,位置),传感器操作员(例如,拍照)和传感器本身(例如,Twitter)来收集感官数据。物联网(IoT)应用促进了社会感知任务。然而,设计和开发物联网应用程序比设计和开发桌面、移动或web应用程序要复杂得多。物联网应用需要软件和硬件(如传感器和执行器)在不同条件下具有不同功能的多个不同类型的节点(如微控制器、片上系统、移动电话、单板计算机、云平台)上协同工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy Mindset for Developing Internet of Things Applications for Social Sensing: Software Engineering Challenges
Social sensing aims to collect sensory data by using human population as sensor carriers (e.g., location), sensor operators (e.g., taking photos), and sensors themselves (e.g., Twitter). The Internet of Things (IoT) applications facilitate social sensing tasks. However, designing and developing IoT applications is much more complicated than designing and developing desktop, mobile, or web applications. The IoT applications require both software and hardware (e.g., sensors and actuators) to work together on multiple different type of nodes (e.g., micro-controllers, system-on-chips, mobile phones, single-board computers, cloud platforms) with different capabilities under different conditions.
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