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IoT privacy: 30 ways to build a security culture

Much work still must be done before the industrial and municipal Internet of Things (IoT) becomes widely adopted outside of the circle of innovators. One field, privacy, well understood by the public and private sector in the context of the cloud, PCs and mobile, is in the early stage of adaptation for the IoT.

The sheer volume of data that will be collected and the new more granular architecture of the IoT present new privacy concerns that need to be resolved on an equal scale as the platform’s forecasted growth.

A demonstration of this new aspect of privacy and compliance is the Privacy Guidelines for Internet of Things: Cheat Sheet, Technical Report (pdf) by Charith Perera, researcher at the Newcastle University in the U.K. The nine-page report details 30 points about implementing strong privacy protections. This report is summarized below.

30 ways IoT developers can improve IoT privacy

1. Minimize data acquisition
Software architects should look at the frequency and type of data collected in the context of the application and should not collect more data than the task requires. The platform should control which data an application receives.