Rich data & the Increasing value of the Internet of Things

whitePaper | January 2, 2020

The global automotive industry has been witnessing a transformation over the last decade with digital communication technologies making rapid inroads in vehicles. The world is moving towards the concept of connected transportation that focuses on providing enhanced connectivity like vehicles communicating with each other to know their presence, real-time communication facility to the occupants of the vehicle. This functionality is enabled by variety of technologies like vehicle to vehicle.

whitePaper | May 14, 2021

The purpose of this draft paper is to start a conversation about what it means to have confidence in the cybersecurity of IoT devices used by individuals and organizations and the various ways of gaining that confidence. This paper describes the landscape of confidence mechanisms that are currently available for establishing the security of IoT devices in the marketplace. In preparing this paper, NIST conducted extensive research on initiatives that can help to instill confidence in IoT device security and held a series of meetings with government and industry experts to glean information on the unique aspects and challenges in this space.

whitePaper | November 11, 2019

Internet of things security will be a big challenge for the enterprises working behind the build-up of the internet of things, and it’s application. With IoT, another buzzword is blockchain-based cryptocurrency bitcoin. Blockchain technology has proven itself as one of the most secured existing technology. In this paper, we have discussed the significant challenges that will come up in identity management due to the heterogeneity of devices.

whitePaper | May 23, 2021

The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?

whitePaper | December 18, 2019

With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze the impact of 5G on both traditional and emerging technologies and project our view on future research challenges and opportunities. With a predicted increase of 10-100x in bandwidth and 5-10x decrease in latency, 5G is expected to be the main enabler for smart cities, smart IoT and efficient healthcare, where machine learning is conducted at the edge.

whitePaper | November 28, 2019

Globally, more than 1.25 million people die in road traffic crashes every year and a further 50 million people are injured or disabled.¹ Meanwhile, congestion costs Australians $16.5 billion in 2015, according to the Bureau of Infrastructure, Transport and Regional Economics. The price of congestion is expected to double between $27.7 and $37.3 billion by 2030, without major policy changes.