Guaranteed Smart Home Privacy?

 Well tested in open contexts?

Peekaboo! A System to Guarantee Smart Home Privacy

Carnegie Mellon University CyLab Security and Privacy Institute

Daniel Tkacik, May 31, 2022

Researchers at Carnegie Mellon University's CyLab Security and Privacy Institute have developed a privacy-sensitive architecture for smart home applications. Peekaboo accepts requests from developers to share certain pieces of data, and guarantees only the minimum data needed to satisfy the requests is exchanged. The architecture has developers first declare all the data they intend to gather and under what conditions, where that data is being sent, and its granularity; an in-home hub then arbitrates between all devices in the home and the outside Internet. CyLab's HaoJian Jin said, "The Peekaboo protocol will allow users to manage privacy preferences for all of their devices in a centralized manner through the hub. Imagine not just a privacy nutrition label for an individual device, but a privacy nutrition label for an entire home."  ... '

Hearing a Cyberattack

Like the general idea:

 Do You Hear What I Hear? A Cyberattack.

Carnegie Mellon University CyLab Security and Privacy Institute

Daniel Tkacik, July 30, 2021

Carnegie Mellon University's Yang Cai and colleagues have designed a method of making abnormal network traffic audible by rendering cybersecurity data musically. The researchers explored several sound mapping algorithms, converting numeral datasets into music with diverse melodies, harmonies, time signatures, and tempos. They produced music using network traffic data from an actual malware distribution network, and presented it to non-musicians, who could accurately identify pitch shifts when played on different instruments. Said the researchers, "We are not only making music, but turning abstract data into something that humans can process." Said Cai, “The process of sonification—using audio to perceptualize data—is not new, but sonification to make data more appealing to the human ear is.”

Open Source Intrusion Detection

First I have seen such a capability offered.   Worth a look to see about following: 

 World's Fastest Open-Source Intrusion Detection Is Here

Carnegie Mellon University CyLab Security and Privacy Institute by Daniel Tkacik

Researchers in Carnegie Mellon University's CyLab Security and Privacy Institute have developed an open source intrusion detection system that achieves speeds of 100 gigabits per second on a single server. The team programmed a field-programmable gate array (FPGA) for intrusion detection, and crafted algorithms that cannot run on traditional processors. CyLab's Justine Sherry said the server’s five cores are necessary because the FPGA processes an average 95% of data packets when placed in a network, with the remaining 5% shunted to central processing units when the array is overwhelmed. The system consumes 38 times less power than hundreds of processing cores would in executing the same tasks.   ... '