Recently, I’ve heard back from Detica about CView and wanted to share the information that Detica has been provided. CView is the copyright detection Deep Packet Inspection (DPI) appliance that Virgin Media will be trialling, and is intended to measure the amount of copyright infringing files that cross Virgin’s network. This index will let Virgin determine whether the content deals they sign with content producers have a noticeable impact on the amount of infringing P2P traffic on their network. Where such deals reduce infringements, then we might expect Virgin to invest resources in agreements with content producers, and if such agreements have no impact then Virgin’s monies will likely be spent on alternate capital investments. I’ll note up front that I’ve sent some followup questions to seek additional clarity where the answers I received were somewhat hazy; such haziness appears to have been from a miscommunication, and is likely attributable to a particular question that was poorly phrased. Up front, I will state that I’m not willing to release the name of who I’m speaking with at Detica, as I don’t think that their name is needed for public consumption and would be an inappropriate disclosure of personal information.
The key question that is lurking in my own mind – if not that of others interested in the CView product – is whether or not the appliance can associate inspected data flows with individuals. In essence, I’m curious about whether or not CView has the ability to collect ‘personally identifiable information’ as outlined by the Privacy Commissioner of Canada in her recent findings on Bell’s use of DPI. In her findings, the Commissioner argues that because Bell customers’ subscriber ID and IP address are temporarily collated that personal information is being collected that Bell does collect personal information.
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.
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.
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.
German Deep Packet Inspection (DPI) manufacturer, ipoque, has produced a white paper titled “Deep Packet Inspection: Technology, Applications & Network Neutrality.” In it, the company distinguishes between DPI as a technology and possible applications of the technology in a social environment. After this discussion they provide a differentiated ‘tiering’ of various bandwidth management impacts on network neutrality. In this post I offer a summary and comment of the white paper, and ultimately wonder whether or not there is an effective theoretical model, grounded in empirical study, to frame or characterize network neutrality advocates.
The first thing that ipoque does is try and deflate the typically heard ‘DPI analysis = opening a sealed envelop’ analogy, and argue that it is better to see packets as postcards, where DPI analysis involves looking for particular keywords or characters. In this analysis, because the technology cannot know of the meaning of what is being searched for, the DPI appliances cannot be said to violate one’s privacy given the technology’s lack of contextual awareness. I’ve made a similar kind of argument, that contextual meaning escapes DPI appliances (though along different lines) in a paper that I presented earlier this year titled “Moving Across the Internet: Code-Bodies, Code-Corpses, and Network Architecture,” though I think that its important to recognize a difference between a machine understandingsomething itself versus flagging particular words and symbols for a human operator to review. Ubiquitous, “non-aware,” machine surveillance can have very real effects where a human is alerted to communications – its something of a misnomer to say that privacy isn’t infringed simply because the machine doesn’t know what it’s doing. We ban and regulate all kinds of technologies because of what they can be used for rather than because the technology itself is inherently bad (e.g. wiretaps). Continue reading
The Canadian SIGINT Summaries includes downloadable copies, along with summary, publication, and original source information, of leaked CSE documents.
Parsons, Christopher; and Molnar, Adam. (2021). “Horizontal Accountability and Signals Intelligence: Lesson Drawing from Annual Electronic Surveillance Reports,” David Murakami Wood and David Lyon (Eds.), Big Data Surveillance and Security Intelligence: The Canadian Case.
Parsons, Christopher. (2015). “Stuck on the Agenda: Drawing lessons from the stagnation of ‘lawful access’ legislation in Canada,” Michael Geist (ed.), Law, Privacy and Surveillance in Canada in the Post-Snowden Era (Ottawa University Press).
Parsons, Christopher. (2015). “The Governance of Telecommunications Surveillance: How Opaque and Unaccountable Practices and Policies Threaten Canadians,” Telecom Transparency Project.
Parsons, Christopher. (2015). “Beyond the ATIP: New methods for interrogating state surveillance,” in Jamie Brownlee and Kevin Walby (Eds.), Access to Information and Social Justice (Arbeiter Ring Publishing).
Bennett, Colin; Parsons, Christopher; Molnar, Adam. (2014). “Forgetting and the right to be forgotten” in Serge Gutwirth et al. (Eds.), Reloading Data Protection: Multidisciplinary Insights and Contemporary Challenges.
Bennett, Colin, and Parsons, Christopher. (2013). “Privacy and Surveillance: The Multi-Disciplinary Literature on the Capture, Use, and Disclosure of Personal information in Cyberspace” in W. Dutton (Ed.), Oxford Handbook of Internet Studies.
McPhail, Brenda; Parsons, Christopher; Ferenbok, Joseph; Smith, Karen; and Clement, Andrew. (2013). “Identifying Canadians at the Border: ePassports and the 9/11 legacy,” in Canadian Journal of Law and Society 27(3).
Parsons, Christopher; Savirimuthu, Joseph; Wipond, Rob; McArthur, Kevin. (2012). “ANPR: Code and Rhetorics of Compliance,” in European Journal of Law and Technology 3(3).