Entries Tagged "surveillance"

Page 79 of 94

Surveillance Cameras that Obscure Faces

From Technology Review:

A camera developed by computer scientists at the University of California, Berkeley, would obscure, with an oval, the faces of people who appear on surveillance videos. These so-called respectful cameras, which are still in the research phase, could be used for day-to-day surveillance applications and would allow for the privacy oval to be removed from a given set of footage in the event of an investigation.

An interesting privacy-enhancing technology.

Posted on June 26, 2007 at 7:41 AM • View Comments

4th Amendment Rights Extended to E-Mail

This is a great piece of news in the U.S. For the first time, e-mail has been granted the same constitutional protections as telephone calls and personal papers: the police need a warrant to get at it. Now it’s only a circuit court decision—the Sixth U.S. Circuit Court of Appeals in Ohio—it’s pretty narrowly defined based on the attributes of the e-mail system, and it has a good chance of being overturned by the Supreme Court…but it’s still great news.

The way to think of the warrant system is as a security device. The police still have the ability to get access to e-mail in order to investigate a crime. But in order to prevent abuse, they have to convince a neutral third party—a judge—that accessing someone’s e-mail is necessary to investigate that crime. That judge, at least in theory, protects our interests.

Clearly e-mail deserves the same protection as our other personal papers, but—like phone calls—it might take the courts decades to figure that out. But we’ll get there eventually.

Posted on June 25, 2007 at 4:13 PM • View Comments

Direct Marketing Meets Wholesale Surveillance

A $100K National Science Foundation grant to Geosemble Technologies, Inc.

SBIR Phase I: Exploiting High-Resolution Imagery, Geospatial Data, and Online Sources to Automatically Identify Direct Marketing Leads

Abstract: This Small Business Innovation Research Phase I project will conduct a feasibility study to demonstrate that by combining currently available high-resolution imagery, geospatial data (e.g., parcel data or structure data), and other related online data sources (e.g., property tax data or census data), it is possible to automatically generate highly targeted direct marketing leads for a variety of markets. The plan is to approach this problem by (1) aligning existing geospatial sources with the high-resolution imagery in order to determine the exact location and determine the address of the parcels seen in the imagery, (2) extracting the relevant features from the imagery to provide appropriate leads, such as determining the presence or absence of a swimming pool, the type of roofing materials used, or what types of cars are parked in the driveway, and (3) bringing in other sources of data, such as property tax assessment data to provide additional context.

The primary focus of the phase I project will be to demonstrate the use of machine learning technology for identifying features in high-resolution imagery that can be used for direct marketing. High-resolution aerial imagery is now being widely collected and is available for low cost or in some cases is even free. The challenges are to first to align parcel data with the high resolution imagery to identify the exact address and boundaries of a property, and second to develop feature extraction techniques that can exploit the contextual information to accurately identify novel features, such as roofs, cars, pools, landscaping, etc., that can be used for direct marketing. The ability to accurately identify features in imagery and then relate them to specific properties as well as related sources of information will allow a targeted direct marketing product to be built. The end users of this product will be companies seeking to market products directly to residential consumers. This includes product and services relating to home improvement, both exterior and interior, as well as those products relating to residents of the home, that can be gleaned from imagery available for the parcel in question. This is a large market and includes everyone from home improvement stores to roofing companies, construction companies, automobile dealers, tree trimmers, landscapers, and pool construction companies. Beyond direct marketing, the technology can also be used for other applications that combine imagery, geospatial data, and structured information. For example, it could used for mosquito abatement, which is important to stop the spread of West Nile Virus, by identifying large pools of stagnant water, associating those hazards with the appropriate address, and then mailing abatement notifications to the residents.

Posted on June 19, 2007 at 3:52 PM • View Comments

License Plate Cloning

It’s a growing problem in the UK:

“There are different levels of cloning. There is the simple cloning, just stealing a plate to drive into say the Congestion Charge zone or evade a speed camera.

“It ranges up to a higher level which is the car criminal who wants to sell on a stolen car.”

Tony Bullock’s car was cloned even though his plates were not physically stolen, and he was threatened with prosecution after “his” car was repeatedly caught speeding in Leicester.

He said: “It was horrendous. You are guilty until you can prove you’re not. It’s the first time that I’ve thought that English law is on its head.”

Metropolitan Police Federation chairman Glen Smyth said the problem has grown because of the amount of camera-based enforcement of traffic offences, which relies on computer records on who owns which car.

Posted on June 11, 2007 at 1:52 PM • View Comments

Remote Metal Sensors Used to Detect Poachers

Interesting use of the technology, although I’m sure it has more value on the battlefield than to detect poachers.

The system consists of a network of foot-long metal detectors similar to those used in airports. When moving metal objects such as a machete or a rifle trip the sensor, it sends a radio signal to a wireless Internet gateway camouflaged in the tree canopy as far as a kilometer away. This signal is transmitted via satellite to the Internet, where the incident is logged and messages revealing the poachers’ position and direction are sent instantly to park headquarters, where patrols can then be dispatched.

Posted on June 6, 2007 at 11:06 AM • View Comments

Teaching Computers How to Forget

I’ve written about the death of ephemeral conversation, the rise of wholesale surveillance, and the electronic audit trail that now follows us through life. Viktor Mayer-Schönberger, a professor in Harvard’s JFK School of Government, has noticed this too, and believes that computers need to forget.

Why would we want our machines to “forget”? Mayer-Schönberger suggests that we are creating a Benthamist panopticon by archiving so many bits of knowledge for so long. The accumulated weight of stored Google searches, thousands of family photographs, millions of books, credit bureau information, air travel reservations, massive government databases, archived e-mail, etc., can actually be a detriment to speech and action, he argues.

“If whatever we do can be held against us years later, if all our impulsive comments are preserved, they can easily be combined into a composite picture of ourselves,” he writes in the paper. “Afraid how our words and actions may be perceived years later and taken out of context, the lack of forgetting may prompt us to speak less freely and openly.”

In other words, it threatens to make us all politicians.

In contrast to omnibus data protection legislation, Mayer-Schönberger proposes a combination of law and software to ensure that most data is “forgotten” by default. A law would decree that “those who create software that collects and stores data build into their code not only the ability to forget with time, but make such forgetting the default.” Essentially, this means that all collected data is tagged with a new piece of metadata that defines when the information should expire.

In practice, this would mean that iTunes could only store buying data for a limited time, a time defined by law. Should customers explicitly want this time extended, that would be fine, but people must be given a choice. Even data created by users—digital pictures, for example—would be tagged by the cameras that create them to expire in a year or two; pictures that people want to keep could simply be given a date 10,000 years in the future.

Frank Pasquale also comments on the legal implications implicit in this issue. And Paul Ohm wrote a note titled “The Fourth Amendment Right to Delete”:

For years the police have entered homes and offices, hauled away filing cabinets full of records, and searched them back at the police station for evidence. In Fourth Amendment terms, these actions are entry, seizure, and search, respectively, and usually require the police to obtain a warrant. Modern-day police can avoid some of these messy steps with the help of technology: They have tools that duplicate stored records and collect evidence of behavior, all from a distance and without the need for physical entry. These tools generate huge amounts of data that may be searched immediately or stored indefinitely for later analysis. Meanwhile, it is unclear whether the Fourth Amendment’s restrictions apply to these technologies: Are the acts of duplication and collection themselves seizure? Before the data are analyzed, has a search occurred?

EDITED TO ADD (6/14): Interesting presentation earlier this year by Dr. Radia Perlman that represents some work toward this problem. And a counterpoint.

Posted on May 16, 2007 at 6:19 AM • View Comments

Is Big Brother a Big Deal?

Big Brother isn’t what he used to be. George Orwell extrapolated his totalitarian state from the 1940s. Today’s information society looks nothing like Orwell’s world, and watching and intimidating a population today isn’t anything like what Winston Smith experienced.

Data collection in 1984 was deliberate; today’s is inadvertent. In the information society, we generate data naturally. In Orwell’s world, people were naturally anonymous; today, we leave digital footprints everywhere.

1984‘s police state was centralized; today’s is decentralized. Your phone company knows who you talk to, your credit card company knows where you shop and Netflix knows what you watch. Your ISP can read your email, your cell phone can track your movements and your supermarket can monitor your purchasing patterns. There’s no single government entity bringing this together, but there doesn’t have to be. As Neal Stephenson said, the threat is no longer Big Brother, but instead thousands of Little Brothers.

1984‘s Big Brother was run by the state; today’s Big Brother is market driven. Data brokers like ChoicePoint and credit bureaus like Experian aren’t trying to build a police state; they’re just trying to turn a profit. Of course these companies will take advantage of a national ID; they’d be stupid not to. And the correlations, data mining and precise categorizing they can do is why the U.S. government buys commercial data from them.

1984-style police states required lots of people. East Germany employed one informant for every 66 citizens. Today, there’s no reason to have anyone watch anyone else; computers can do the work of people.

1984-style police states were expensive. Today, data storage is constantly getting cheaper. If some data is too expensive to save today, it’ll be affordable in a few years.

And finally, the police state of 1984 was deliberately constructed, while today’s is naturally emergent. There’s no reason to postulate a malicious police force and a government trying to subvert our freedoms. Computerized processes naturally throw off personalized data; companies save it for marketing purposes, and even the most well-intentioned law enforcement agency will make use of it.

Of course, Orwell’s Big Brother had a ruthless efficiency that’s hard to imagine in a government today. But that completely misses the point. A sloppy and inefficient police state is no reason to cheer; watch the movie Brazil and see how scary it can be. You can also see hints of what it might look like in our completely dysfunctional “no-fly” list and useless projects to secretly categorize people according to potential terrorist risk. Police states are inherently inefficient. There’s no reason to assume today’s will be any more effective.

The fear isn’t an Orwellian government deliberately creating the ultimate totalitarian state, although with the U.S.’s programs of phone-record surveillance, illegal wiretapping, massive data mining, a national ID card no one wants and Patriot Act abuses, one can make that case. It’s that we’re doing it ourselves, as a natural byproduct of the information society.We’re building the computer infrastructure that makes it easy for governments, corporations, criminal organizations and even teenage hackers to record everything we do, and—yes—even change our votes. And we will continue to do so unless we pass laws regulating the creation, use, protection, resale and disposal of personal data. It’s precisely the attitude that trivializes the problem that creates it.

This essay appeared in the May issue of Information Security, as the second half of a point/counterpoint with Marcus Ranum. Here’s his half.

Posted on May 11, 2007 at 9:19 AM • View Comments

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Sidebar photo of Bruce Schneier by Joe MacInnis.