Late last week The Register reported that Virgin Media is going to be trialling Detica’s Deep Packet Inspection (DPI) appliances to measure the levels of copyright-infringing file sharing that is occurring along Virgin Media’s networks. It’s important to note a few things right up front:
- I have a request in to the company manufacturing these appliances, Detica, and have been promised responses to my questions. In light of this, I’m not accusing Detica or Virgin Media of engaging in any ‘privacy invasive’ uses of DPI, at least not at the moment.
- The information that I’ll drawing on is, largely, from a consultation paper that Detica presented in late September of 2009.
- This post is largely meant as a ‘let’s calm down, and wait to hear about the technology’s details’ before suggesting that a massive campaign be mounted against what might be a relatively innocuous surveillance technology.
With that stated…
Detica describes themselves as a “business and technology consultancy specialising in helping clients collect, manage and exploit information to reveal actionable intelligence. As the digital revolution causes massive amounts of data to converge with a new generation of threats, many of our clients see this as one of their greatest challenges.” Their CView DPI system is meant to let ISPs better identify the amount of copyright infringing work that is coursing across their networks, in an effort to give ISPs better metrics as well as to determine whether arrangements between ISPs and content providers has a significant, measurable effect on the transfer of copyright infringing files. Read more…
In many ways, I can credit the NSA along with the excellent reporting of Nate Anderson for why I’m so interested in surveillance technologies. In particular, when the story broke in 2005 that the NSA was likely engaged in massive wiretaps of domestic and international data traffic I was drawn to the power and capacity for the ‘net to be used for truly broad-based surveillance efforts. This interest was heightened when Nate published the first of a set of articles on deep packet inspection (DPI) for Ars Technica. Without these two key moments, along perhaps with some interesting reporting on copyright, I’d probably still be thinking through the conditions of ontological psychology through a Heideggerian or Hegellian lens.
Given that I am engaged in research into surveillance technologies, and have the absolute pleasure to be associated with truly excellent scholars, activists, advocates, collaborators, and friends who share similar research interests, I wanted to take a moment to ask you, my readers, to help us map data traffic. As you may be aware, the NSA is reputed to have installed systems in various networking hubs that lets them examine massive amounts of data traffic. It’s not entirely known how they inspect this traffic, or the algorithms that are used to parse the fire hose of data they must be inundated by, but researchers at the University of Toronto have a decent idea of what ‘carrier hotels’, or major Internet exchange/collocation points, have likely been compromised by NSA surveillance instruments. Read more…
The Western world is pervaded by digital information, to the point where we might argue that most Western citizens operate in a bio-digital field that is constituted by the conditions of life and life’s (now intrinsic) relationships to digital code. While historically (if 30 years or so can withstand the definitional intonations of ‘historically) such notions of code would dominantly pertain to government databanks and massive corporate uses of code and data, with the advent of the ’social web’ and ease of mashups we are forced to engage with questions of how information, code, and privacy norms and regulations pertain to individual’s usage of data sources. While in some instances we see penalties being handed down to individuals that publicly release sensitive information (such as Sweden’s Bodil Lindqvist, who was fined for posting personal data about fellow church parishioners without consent), what is the penalty when public information is situated outside of its original format and mashed-up with other data sources? What happens when we correlate data to ‘map’ it?
Let’s get into some ‘concrete’ examples to engage with this matter. First, I want to point to geo-locating trace route data, the information that identifies the origin of website visitors’ data traffic, to start thinking about mashups and privacy infringements. Second, I’ll briefly point to some of the challenges arising with the meta-coding of the world using Augmented Reality (AR) technologies. The overall aim is not to ‘resolve’ any privacy questions, but to try and reflect on differences between ’specificity’ of geolocation technology, the implications of specificity, and potential need to establish a new set of privacy norms given the bio-digital fields that we find ourself immersed in. Read more…
In a conversation with Prof. Andrew Clement this summer we got talking about the ever-increasing deployment of CCTV cameras throughout Canada. The conversation was, at least in part, motivated by the massive number of cameras that are being deployed throughout Vancouver with the leadup to the 2010 Olympic games; these cameras were one of the key focuses of the 10th Annual Security and Privacy Conference, where the BC Privacy Commissioner said that he might resign if the surveillance infrastructure is not taken down following the games.
I don’t want to delve into what, in particular, Prof. Clement is thinking of doing surrounding CCTV given that I don’t think he’s publicly announced his intentions. What I will do, however, is outline my own two-pronged approach to rendering CCTV a little more transparent. At the onset, I’ll note that:
- My method will rely on technology (augmented reality) that is presently only in the hands of a small minority of the population;
- My method is meant to be more and more useful as the years continue (and as the technology becomes increasingly accessible to consumers).
The broad goal is the following: develop a set of norms and processes to categorize different CCTV installations. Having accomplished this task, a framework would be developed for an augmented reality program (here’s a great blog on AR) that could ‘label’ where CCTV installations are and ‘grade’ them based on the already established norms and processes. Read more…
