Update: Feeva, Advertising, and Privacy

MusicBrainzServersWhen you spend a lot of time working in the areas of copyright, traffic sniffing and analysis, and the Internet’s surveillance infrastructure more generally, there is a tendency to expect bad things on a daily basis. This expectation is built up from years of horrors, and I’m rarely disappointed in my day-to-day research. Thus, when Wired reported that a company called Feeva was injecting locational information into packet headers the actions didn’t come across as surprising; privacy infringements as reported in the Wired piece are depressingly common. In response I wrote a brief post decrying the modification of packet-headers for geolocational purposes and was quoted by Jon Newton on P2Pnet on my reactions to what I understood at the time was going on.

After the post, and quotations turned up on P2Pnet, folks at Feeva quickly got ahold of me. I’ve since had a few conversations with them. It turns out that (a) there were factual inaccuracies in the Wired article; (b) Feeva isn’t the privacy-devastating monster that they came off as in the Wired article. Given my increased familiarity with the technology I wanted to better outline what their technology does and alter my earlier post’s conclusion: Feeva is employing a surprising privacy-protective advertising system. As it stands, their system is a whole lot better at limiting infringements on individuals’ privacy for advertising-related purposes than any other scalable model that I’m presently aware of.

Before I get into the post proper, however, I do want to note that I am somewhat limited in the totality of what I can speak about. I’ve spoken with both Feeva’s Chief Technology Officer, Miten Sampat, and Chief Privacy Officer, Dr. Don Lloyd Cook, and they’ve been incredibly generous in sharing both their time and corporate information. The two have been incredibly forthcoming with the technical details of the system employed and (unsurprisingly) some of this information is protected. As such, I can’t get into super-specifics (i.e. X technology uses Y protocol and Z hardware) but, while some abstractions are required, I think that I’ve managed to get across key elements of the system they’ve put in place.

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