The Economics of Bulk Surveillance
Ross Anderson has an important new paper on the economics that drive government-on-population bulk surveillance:
My first big point is that all the three factors which lead to monopoly – network effects, low marginal costs and technical lock-in – are present and growing in the national-intelligence nexus itself. The Snowden papers show that neutrals like Sweden and India are heavily involved in information sharing with the NSA, even though they have tried for years to pretend otherwise. A non-aligned country such as India used to be happy to buy warplanes from Russia; nowadays it still does, but it shares intelligence with the NSA rather then the FSB. If you have a choice of joining a big spy network like America’s or a small one like Russia’s then it’s like choosing whether to write software for the PC or the Mac back in the 1990s. It may be partly an ideological choice, but the economics can often be stronger than the ideology.
Second, modern warfare, like the software industry, has seen the bulk of its costs turn from variable costs into fixed costs. In medieval times, warfare was almost entirely a matter of manpower, and society was organised appropriately; as well as rent or produce, tenants owed their feudal lord forty days’ service in peacetime, and sixty days during a war. Barons held their land from the king in return for an oath of fealty, and a duty to provide a certain size of force on demand; priests and scholars paid a tax in lieu of service, so that a mercenary could be hired in their place. But advancing technology brought steady industrialisation. When the UK and the USA attacked Germany in 1944, we did not send millions of men to Europe, as in the first world war, but a combat force of a couple of hundred thousand troops – though with thousands of tanks and backed by larger numbers of men in support roles in tens of thousands of aircraft and ships. Nowadays the transition from labour to capital has gone still further: to kill a foreign leader, we could get a drone fire a missile that costs $30,000. But that’s backed by colossal investment – the firms whose data are tapped by PRISM have a combined market capitalisation of over $1 trillion.
Third is the technical lock-in, which operates at a number of levels. First, there are lock-in effects in the underlying industries, where (for example) Cisco dominates the router market: those countries that have tried to build US-free information infrastructures (China) or even just government information infrastructures (Russia, Germany) find it’s expensive. China went to the trouble of sponsoring an indigenous vendor, Huawei, but it’s unclear how much separation that buys them because of the common code shared by router vendors: a vulnerability discovered in one firm’s products may affect another. Thus the UK government lets BT buy Huawei routers for all but its network’s most sensitive parts (the backbone and the lawful-intercept functions). Second, technical lock-in affects the equipment used by the intelligence agencies themselves, and is in fact promoted by the agencies via ETSI standards for functions such as lawful intercept.
Just as these three factors led to the IBM network dominating the mainframe age, the Intel/Microsoft network dominating the PC age, and Facebook dominating the social networking scene, so they push strongly towards global surveillance becoming a single connected ecosystem.
These are important considerations when trying to design national policies around surveillance.
Ross’s blog post.