Security and Privacy for a Green Internet of Things
Autor: | Ted H. Szymanski |
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Rok vydání: | 2017 |
Předmět: |
business.industry
Computer science Network packet Privacy software Testbed Big data 020206 networking & telecommunications 02 engineering and technology Encryption Computer security computer.software_genre Critical infrastructure Computer Science Applications Smart grid Hardware and Architecture 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing The Internet business computer Software Computer network |
Zdroj: | IT Professional. 19:34-41 |
ISSN: | 1520-9202 |
DOI: | 10.1109/mitp.2017.3680952 |
Popis: | In the 21st century, the Internet of Things (IoT) will control critical infrastructure such as smart cities and the smart power grid. The author proposes a new approach to achieve exceptional performance, cybersecurity, and privacy in a green Industrial and Tactile IoT, in datacenters, and in big data green cloud computing systems. The combination of a software-defined networking (SDN) control plane, deterministic communications, and lightweight layer-2 encryption offers several benefits. For example, an SDN control plane can embed millions of deterministic virtual networks (DVNs) into layer 2. All congestion, interference, denial-of-service attacks, and cyberattacks targeting a DVN can be removed in layer 2. Unauthorized packets from a cyberattacker can be detected in layer 2 in microseconds. IoT delays can be reduced to the speed-of-light. Finally, exceptional privacy can be achieved using lightweight encryption with long keys. A green Industrial and Tactile IoT can embed millions of DVNs to enable smart cities, and can also pay for itself quickly through reduced capital and energy costs. A field-programmable gate array hardware testbed illustrates the concepts. |
Databáze: | OpenAIRE |
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