Secure Internet of Things Project SITP

Secure Internet of Things Project. The Secure Internet of Things Project is a cross-disciplinary research effort between computer science and electrical engineering faculty at Stanford University, UC Berkeley, and the University of Michigan. The research effort focuses on three key questions. How will we integrate these enormous streams of physical world instrumentation with all of our existing data? How can pervasive sensing and analytics systems preserve and protect user security?

OVERVIEW

This site iot.stanford.edu currently has a traffic ranking of zero (the lower the better). We have scanned four pages within the domain iot.stanford.edu and found one website referring to iot.stanford.edu.
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4
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IOT.STANFORD.EDU HOST

We discovered that the main page on iot.stanford.edu took sixteen milliseconds to come up. We could not detect a SSL certificate, so in conclusion I consider iot.stanford.edu not secure.
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0.016 secs
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NOT SECURE
Internet Protocol
171.67.76.12

BROWSER ICON

SERVER OS

I detected that this website is weilding the Apache/2.4.7 (Ubuntu) server.

PAGE TITLE

Secure Internet of Things Project SITP

DESCRIPTION

Secure Internet of Things Project. The Secure Internet of Things Project is a cross-disciplinary research effort between computer science and electrical engineering faculty at Stanford University, UC Berkeley, and the University of Michigan. The research effort focuses on three key questions. How will we integrate these enormous streams of physical world instrumentation with all of our existing data? How can pervasive sensing and analytics systems preserve and protect user security?

CONTENT

This site iot.stanford.edu states the following, "The Secure Internet of Things Project is a cross-disciplinary research effort between computer science and electrical engineering faculty at Stanford University, UC Berkeley, and the University of Michigan." We noticed that the website said " The research effort focuses on three key questions." It also stated " How will we integrate these enormous streams of physical world instrumentation with all of our existing data? How can pervasive sensing and analytics systems preserve and protect user security?."

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