The Zero Marginal Cost Society: The Internet of Things, the Collaborative Commons, and the Eclipse of Capitalism | Jeremy Rifkin

Jeremy Rifkin; The Zero Marginal Cost Society: The Internet of Things, the Collaborative Commons, and the Eclipse of Capitalism; Palgrave Macmillan Trade; 2014-04-901; 268 pages; kindle: $13, paper: $18.

Also by Jeremy Rifkin …

Resource Revolution: How to Capture the Biggest Business Opportunity in a Century | Rogers, Heck, Carroll (McKinsey)

Matt Rogers, Stefan Heck, Paul Carroll; Resource Revolution: How to Capture the Biggest Business Opportunity in a Century; New Harvest; 2014-04-01; 272 pages; kindle: $2, paper: $19; landing.

tl;dr => … how global leaders have answered the challenge.  And you can too.

Promotion

  • The Future Could Work, If We Let It; Farhad Manjoo; In The New York Times (NYT); 2014-08-27.
    tl;dr => the authors are too optimistic, there will be unintended consequences, “what if?” The reporter has a negation for every boosterism.

Do Not Track – the privacy standard that’s melting away | Naked Security

Do Not Track – the privacy standard that’s melting away; Mark Stockley; In Naked Security; 2014-08-26.

Occasion

Mobile Device Identification via Sensor Fingerprinting | Bojinov, Boneh, Michalevsky, Nakibly

Hristo Bojinov, Dan Boneh, Yan Michalevsky, Gabi Nakibly; Mobile Device Identification via Sensor Fingerprinting; landing

Abstract

We demonstrate how the multitude of sensors on a smartphone can be used to construct a reliable hardware fingerprint of the phone. Such a fingerprint can be used to de-anonymize mobile devices as they connect to web sites, and as a second factor in identifying legitimate users to a remote server. We present two implementations: one based on analyzing the frequency response of the speakerphone-microphone system, and another based on analyzing device-specific accelerometer calibration errors. Our accelerometer-based fingerprint is especially interesting because the accelerometer is accessible via JavaScript running in a mobile web browser without requesting any permissions or notifying the user. We present the results of the most extensive sensor fingerprinting experiment done to date, which measured sensor properties from over 10,000 mobile devices. We show that the entropy from sensor fingerprinting is sufficient to uniquely identify a device among thousands of devices, with low probability of collision.

Gyrophone: Recognizing Speech From Gyroscope Signals | Michalevsky, Nakibly, Boneh

Yan Michalevsky, Gabi Nakibly, Dan Boneh; Gyrophone: Recognizing Speech From Gyroscope Signals; In Proceedings of the 23rd USENIX Security Symposium (USENIX Security 14); 2014-08-20; landing, landing

Abstract

We show that the MEMS gyroscopes found on modern smart phones are sufficiently sensitive to measure acoustic signals in the vicinity of the phone. The resulting signals contain only very low-frequency information (< 200 Hz). Nevertheless we show, using signal processing and machine learning, that this information is sufficient to identify speaker information and even parse speech. Since iOS and Android require no special permissions to access the gyro, our results show that apps and active web content that cannot access the microphone can nevertheless eavesdrop on speech in the vicinity of the phone.

Algorithm recovers speech from vibrations of potato-chip bag filmed through soundproof glass

Algorithm recovers speech from vibrations of potato-chip bag filmed through soundproof glass; press release; In PhysOrg; 2014-08-14.

Original Sources

“The visual microphone: passive recovery of sound from video.” Abe Davis, et al. Journal ACM Transactions on Graphics (TOG), Volume 33 Issue 4, July 2014, Article No. 79. DOI: 10.1145/2601097.2601119

The Internet’s Original Sin | The Atlantic

The Internet’s Original Sin; ; In The Atlantic; 2014-08-14.
Teaser: It’s not too late to ditch the ad-based business model and build a better web.

Original Sources

Referenced