Internet of Things eLearning Courses

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Short, Cost-Effective Training on Hot Topics Based on the Latest Research and Trends--Constantly Updated! Quartos are peer reviewed, online learning modules that quickly bring you up-to-date on the latest developments in a specific technology.


Internet of Things Quartos Courses 

Identifying and Authenticating IoT Objects in a Natural Context

Internet of Things analytics engines are complex to use and often optimized for a single domain or limited to proprietary data. A prototype system shows that existing Web analytics technologies can successfully be repurposed for IoT applications including sensor monitoring and user engagement tracking.

Internet of Things Making the Hype a Reality

The Internet of Things (IoT) will democratize knowledge. Organizations are looking for ways to create active knowledge and insight from IoT data and apply this data to new business models in which understanding and addressing customer needs and demands is key. To ensure that the IoT can meet this challenge, the author identifies six key interest areas.

Internet of Things Perspectives

This article offers expert opinion on two Internet of Things (IoT) perspectives. The first is a research agenda for the IoT to ensure the development of a trusted, secure, reliable, and interoperable net-centric computing environment. The second discusses the IoT as a human agent, extension, and complement.

Learning Internet-of-Things Security "Hands-On"

What can you glean from using inexpensive, off-the-shelf parts to create Internet of Things (IoT) use cases? As it turns out, a lot. The fast productization of IoT technologies is leaving users vulnerable to security and privacy risks.

Principles for Engineering IoT Cloud Systems

Engineering Internet of Things (IoT) and cloud services to provide a coherent software layer for continuous deployment, provision, and execution of applications for various domains is complex.

Repurposing Web Analytics to Support the IoT

A proposed property-aware name service simultaneously supports what, where, and when properties of each IoT object through unique, text-based, and human-readable identity assignments.

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