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.
"In a presentation at Usenix's Enigma 2018 conference in California this week, Arvind Narayanan, an assistant professor of computer science at Princeton, showed how some of the advanced features of HTML5 – such as audio playback – can be used to identify individual browser types and follow them around online to get an idea of what they're into."
"For Narayanan, most of the blame goes to the websites who choose to run scripts like AdThink, often without realizing how invasive they truly are. “We'd like to see publishers exercise better control over third parties on their sites,” Narayanan says. “These problems arise partly because website operators have been lax in allowing third-party scripts on their sites without understanding the implications.”"
""In my experience, (the website) publishers are by-and-large unaware of the privacy-invasive behavior of the third-party scripts that they add to their sites," said Arvind Narayanan, a Princeton assistant professor who was involved in the research."
""2017, perhaps, was a watershed year, and I predict that in the next year or two the issue is only going to continue to increase in importance," said Arvind Narayanan, an assistant professor of computer science at Princeton and data privacy expert. "What has changed is the realization that these aren't specific exceptions of racial and gender bias. It's almost definitional that machine learning is going to pick up and perhaps amplify existing human biases. The issues are inescapable.""
"According to Narayanan, even without trackers, it is safe to conclude that anonymity does not exist on the internet. Narayanan’s group previously demonstrated that almost all browsing history can be de-anonymized and traced to specific users. According to Narayanan, Edward Snowden’s leaks on the U.S. government’s surveillance programs revealed that cookies — small pieces of information stored by a website on a user’s computer — can be used to tie that history back to specific people."
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.