Arvind Narayanan is an Assistant Professor at Princeton's Department of Computer Science and Center for Information Technology Policy and an Affiliate Scholar at the Stanford Law School Center for Internet and Society. He studies information privacy and security, and has a side-interest in tech policy. His research has shown that data anonymization is broken in fundamental ways, for which he jointly received the 2008 Privacy Enhancing Technologies Award. He is one of the researchers behind the "Do Not Track" proposal. You can follow Arvind on Twitter at @random_walker and on Google+ here.
The Do Not Track war has raged for well over a year now. There are, broadly, two Do Not Track proposals: one chiefly backed by the ad industry, and another advanced by privacy advocates. These proposals reflect vastly different visions for Do Not Track with vastly different practical consequences.
A 1993 New Yorker cartoon famously proclaimed, "On the Internet, nobody knows you're a dog." The Web is a very different place today; you now leave countless footprints online. You log into websites. You share stuff on social networks. You search for information about yourself and your friends, family, and colleagues. And yet, in the debate about online tracking, ad networks and tracking companies would have you believe we're still in the early 90s — they regularly advance, and get away with, “anonymization” or “we don’t collect Personally Identifiable Information” as an answer to privacy concerns.
Joint post with Jonathan Mayer.
Earlier today Mozilla announced support for Do Not Fool, a proposed mechanism for opting out of April Fools' pranks. We cannot support this misguided effort.
First, Do Not Fool would require fundamentally reengineering the Internet, the HTTP protocol, and countless websites. Many of your favorite web destinations like The Onion rely on fooling.
A frequent misconception of Do Not Track is that the goal is to prevent tracking by online advertisers. In fact, tracking is a much broader problem on the web, and our Do Not Track vision at Stanford, while principally aimed at "third-party" tracking, does not focus on specific industry segments. Barocas and Nissenbaum said it best:
by Steven Englehardt, Gunes Acar, and Arvind Narayanan.
There’s an ongoing arms race between ad blockers and websites — more and more sites either try to sneak their ads through or force users to disable ad blockers. Most previous discussions have assumed that this is a cat-and-mouse game that will escalate indefinitely. But in a new paper, accompanied by proof-of-concept code, we challenge this claim.
Online tracking: A 1-million-site measurement and analysis is the largest and most detailed measurement of online tracking to date. We measure stateful (cookie-based) and stateless (fingerprinting-based) tracking, the effect of browser privacy tools, and "cookie syncing".
This measurement is made possible by our web measurement tool OpenWPM, a mature platform that enables fully automated web crawls using a full-fledged and instrumented browser.
"Studying a million websites is hard. To do it, Arvind Narayanan – who heads the Web Transparency and Accountability Project at Princeton University – built a tool called OpenWPM with graduate student Steven Englehardt. OpenWPM can visit and log in to websites automatically, taking more than a dozen measurements of each one. It took two weeks to crawl through the top million websites, as ranked by web traffic firm Alexa.
"All of this might sound terrifying, but as assistant professor Arvind Narayanan and graduate student Steven Englehardt explain, the preeminence of Google, Facebookand others like them means that we only have a few major companies that we need to keep track of, rather than hundreds or thousands of smaller companies.
“Only a small number of companies have trackers that are really prevalent,” says Narayanan. “This suggests that external oversight and public pressure can lead to positive change.”"
""The study has important implications for surveillance law and policy," says Arvind Narayanan, a computer scientist and data privacy expert at Princeton University. "Our intuition for terms such as 'two hops,’ [and how it limits the number of people connected to you], proves wildly inaccurate when applied to modern telephone networks." And he notes that NSA has vastly more data and resources than academic researchers.
"Balancing the desire for greater transparency and the need to protect the privacy of victims can be a difficult issue for the authorities. And some police departments may not have in-house expertise to know which data should be kept anonymous, said Arvind Narayanan, a computer science professor at Princeton who researches privacy issues.
“Depending on what one is looking to release, it can be anywhere from easily doable to impossible,” said Narayanan."
"After lunch, Princeton University's Arvind Narayanan took the stage, drawing parallels between the histories of gold mining and telephone line installation and Bitcoin, and encouraging closer collaboration with academia and the Bitcoin community. He also discussed a paper he wrote at Princeton that concluded "only 28 out of nearly 200,000 websites registered with NameCoin led to non-trivial websites" at the time of publication."
Solutions to many pressing economic and societal challenges lie in better understanding data. New tools for analyzing disparate information sets, called Big Data, have revolutionized our ability to find signals amongst the noise. Big Data techniques hold promise for breakthroughs ranging from better health care, a cleaner environment, safer cities, and more effective marketing. Yet, privacy advocates are concerned that the same advances will upend the power relationships between government, business and individuals, and lead to prosecutorial abuse, racial or other profiling, discrimination, redlining, overcriminalization, and other restricted freedoms.
"Princeton's Arvind Narayanan and Steven Englehardt studied how all the things we do not see as users are valuable to someone on our digital trail, as our presence may be authenticated and tracked through such minutia as personalized browser settings or even our laptops' battery levels.
"While Google has used differential privacy to analyze user data from its Chrome browser, Apple is the first major tech company to adopt it more widely and publicly, said Arvind Narayanan, a computer scientist at Princeton University.
“That’s what makes this so exciting – both for the technology and for the future of privacy protection,” he explained.
In terms of challenges, Narayanan said the technology could come with extra costs.
CIS Affiliate Scholar David Levine interviews Prof. Arvind Narayanan of Princeton University on Bitcoin, cryptography, privacy and web transparency.
View the full video on YouTube.
Talk by Arvind Narayanan at the University of Maryland.
Based on a paper-in-progress by Arvind Narayanan and Joseph Bonneau
Abstract: Behind the hype and tumult of the markets, researchers have been quietly producing a series of exciting results about Bitcoin and cryptocurrencies. In this paper we’ll explain why computer scientists should pay attention to these developments.