Entries Tagged "privacy"

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Hayden Mocks NSA Reforms

Former NSA Director Michael recently mocked the NSA reforms in the recently passed USA Freedom Act:

If somebody would come up to me and say, “Look, Hayden, here’s the thing: This Snowden thing is going to be a nightmare for you guys for about two years. And when we get all done with it, what you’re going to be required to do is that little 215 program about American telephony metadata—and by the way, you can still have access to it, but you got to go to the court and get access to it from the companies, rather than keep it to yourself.” I go: “And this is it after two years? Cool!”

The thing is, he’s right. And Peter Swire is also right when he calls the law “the biggest pro-privacy change to U.S. intelligence law since the original enactment of the Foreign Intelligence Surveillance Act in 1978.” I supported the bill not because it was the answer, but because it was a step in the right direction. And Hayden’s comments demonstrate how much more work we have to do.

Posted on June 23, 2015 at 1:39 PMView Comments

Why We Encrypt

Encryption protects our data. It protects our data when it’s sitting on our computers and in data centers, and it protects it when it’s being transmitted around the Internet. It protects our conversations, whether video, voice, or text. It protects our privacy. It protects our anonymity. And sometimes, it protects our lives.

This protection is important for everyone. It’s easy to see how encryption protects journalists, human rights defenders, and political activists in authoritarian countries. But encryption protects the rest of us as well. It protects our data from criminals. It protects it from competitors, neighbors, and family members. It protects it from malicious attackers, and it protects it from accidents.

Encryption works best if it’s ubiquitous and automatic. The two forms of encryption you use most often—https URLs on your browser, and the handset-to-tower link for your cell phone calls—work so well because you don’t even know they’re there.

Encryption should be enabled for everything by default, not a feature you turn on only if you’re doing something you consider worth protecting.

This is important. If we only use encryption when we’re working with important data, then encryption signals that data’s importance. If only dissidents use encryption in a country, that country’s authorities have an easy way of identifying them. But if everyone uses it all of the time, encryption ceases to be a signal. No one can distinguish simple chatting from deeply private conversation. The government can’t tell the dissidents from the rest of the population. Every time you use encryption, you’re protecting someone who needs to use it to stay alive.

It’s important to remember that encryption doesn’t magically convey security. There are many ways to get encryption wrong, and we regularly see them in the headlines. Encryption doesn’t protect your computer or phone from being hacked, and it can’t protect metadata, such as e-mail addresses that need to be unencrypted so your mail can be delivered.

But encryption is the most important privacy-preserving technology we have, and one that is uniquely suited to protect against bulk surveillance—the kind done by governments looking to control their populations and criminals looking for vulnerable victims. By forcing both to target their attacks against individuals, we protect society.

Today, we are seeing government pushback against encryption. Many countries, from States like China and Russia to more democratic governments like the United States and the United Kingdom, are either talking about or implementing policies that limit strong encryption. This is dangerous, because it’s technically impossible, and the attempt will cause incredible damage to the security of the Internet.

There are two morals to all of this. One, we should push companies to offer encryption to everyone, by default. And two, we should resist demands from governments to weaken encryption. Any weakening, even in the name of legitimate law enforcement, puts us all at risk. Even though criminals benefit from strong encryption, we’re all much more secure when we all have strong encryption.

This originally appeared in Securing Safe Spaces Online.

EDITED TO ADD: Last month, I blogged about a UN report on the value of encryption technologies to human freedom worldwide. This essay is the foreword to a companion document:

To support the findings contained in the Special Rapporteur’s report, Privacy International, the Harvard Law School’s International Human Rights Law Clinic and ARTICLE 19 have published an accompanying booklet, Securing Safe Spaces Online: Encryption, online anonymity and human rights which explores the impact of measures to restrict online encryption and anonymity in four particular countries ­—the United Kingdom, Morocco, Pakistan and South Korea.

EDITED TO ADD (7/8): this essay has been translated into Russian.

EDITED TO ADD (4/29/2019): this essay has been translated into Spanish.

EDITED TO ADD (11/13/2019): this essay has been translated into Bosnian.

EDITED TO ADD (10/28/2020): this essay has been translated into French and Hungarian.

EDITED TO ADD: this essay has been translated into German.

Posted on June 23, 2015 at 6:02 AMView Comments

Research on The Trade-off Between Free Services and Personal Data

New report: “The Tradeoff Fallacy: How marketers are misrepresenting American consumers and opening them up to exploitation.”

New Annenberg survey results indicate that marketers are misrepresenting a large majority of Americans by claiming that Americas give out information about themselves as a tradeoff for benefits they receive. To the contrary, the survey reveals most Americans do not believe that ‘data for discounts’ is a square deal.

The findings also suggest, in contrast to other academics’ claims, that Americans’ willingness to provide personal information to marketers cannot be explained by the public’s poor knowledge of the ins and outs of digital commerce. In fact, people who know more about ways marketers can use their personal information are more likely rather than less likely to accept discounts in exchange for data when presented with a real-life scenario.

Our findings, instead, support a new explanation: a majority of Americans are resigned to giving up their data­—and that is why many appear to be engaging in tradeoffs. Resignation occurs when a person believes an undesirable outcome is inevitable and feels powerless to stop it. Rather than feeling able to make choices, Americans believe it is futile to manage what companies can learn about them. Our study reveals that more than half do not want to lose control over their information but also believe this loss of control has already happened.

By misrepresenting the American people and championing the tradeoff argument, marketers give policymakers false justifications for allowing the collection and use of all kinds of consumer data often in ways that the public find objectionable. Moreover, the futility we found, combined with a broad public fear about what companies can do with the data, portends serious difficulties not just for individuals but also—over time—for the institution of consumer commerce.

Some news articles.

Posted on June 17, 2015 at 6:44 AMView Comments

Security and Human Behavior (SHB 2015)

Earlier this week, I was at the eighth Workshop on Security and Human Behavior.

This is a small invitational gathering of people studying various aspects of the human side of security. The fifty people in the room include psychologists, computer security researchers, sociologists, behavioral economists, philosophers, political scientists, lawyers, biologists, anthropologists, business school professors, neuroscientists, and a smattering of others. It’s not just an interdisciplinary event; most of the people here are individually interdisciplinary.

I call this the most intellectually stimulating two days of my year. The goal is discussion amongst the group. We do that by putting everyone on panels, but only letting each person talk for 10 minutes. The rest of the 90-minute panel is left for discussion.

Ross Anderson liveblogged the talks. Bob Sullivan wrote a piece on some of the presentations on family surveillance.

Here are my posts on the first, second, third, fourth, fifth, sixth, and seventh SHB workshops. Follow those links to find summaries, papers, and audio recordings of the workshops.

Posted on June 11, 2015 at 1:24 PMView Comments

Surveillance Law and Surveillance Studies

Interesting paper by Julie Cohen:

Abstract: The dialogue between law and Surveillance Studies has been complicated by a mutual misrecognition that is both theoretical and temperamental. Legal scholars are inclined to consider surveillance simply as the (potential) subject of regulation, while scholarship in Surveillance Studies often seems not to grapple with the ways in which legal processes and doctrines are sites of contestation over both the modalities and the limits of surveillance. Put differently, Surveillance Studies takes notice of what law does not—the relationship between surveillance and social shaping—but glosses over what legal scholarship rightly recognizes as essential­—the processes of definition and compromise that regulators and other interested parties must navigate, and the ways that legal doctrines and constructs shape those processes. This article explores the fault lines between law and Surveillance Studies and considers the potential for more productive confrontation and dialogue in ways that leverage the strengths of each tradition.

Posted on June 8, 2015 at 12:48 PMView Comments

Tracking People By Smart Phone Accelerometers

Interesting research: “We Can Track You If You Take the Metro: Tracking Metro Riders Using Accelerometers on Smartphones“:

Abstract: Motion sensors (e.g., accelerometers) on smartphones have been demonstrated to be a powerful side channel for attackers to spy on users’ inputs on touchscreen. In this paper, we reveal another motion accelerometer-based attack which is particularly serious: when a person takes the metro, a malicious application on her smartphone can easily use accelerator readings to trace her. We first propose a basic attack that can automatically extract metro-related data from a large amount of mixed accelerator readings, and then use an ensemble interval classier built from supervised learning to infer the riding intervals of the user. While this attack is very effective, the supervised learning part requires the attacker to collect labeled training data for each station interval, which is a significant amount of effort. To improve the efficiency of our attack, we further propose a semi-supervised learning approach, which only requires the attacker to collect labeled data for a very small number of station intervals with obvious characteristics. We conduct real experiments on a metro line in a major city. The results show that the inferring accuracy could reach 89% and 92% if the user takes the metro for 4 and 6 stations, respectively.

The Internet of Things is the Internet of sensors. I’m sure all kinds of surveillance is possible from all kinds of sensing inputs.

Posted on June 8, 2015 at 6:09 AMView Comments

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Sidebar photo of Bruce Schneier by Joe MacInnis.