White Mirror: Leaking Sensitive Information from Interactive Netflix Movies using Encrypted Traffic Analysis

Privacy leaks from Netflix videos/movies is well researched. Current state-of-the-art works have been able to obtain coarse-grained information such as the genre and the title of videos by passive observation of encrypted traffic. However, leakage of fine-grained information from encrypted traffic has not been studied so far. Such information can be used to build behavioural profiles of viewers. On 28th December 2018, Netflix released the first mainstream interactive movie called 'Black Mirror: Bandersnatch'. In this work, we use this movie as a case-study to show for the first time that fine-grained information (i.e., choices made by users) can be revealed from encrypted traffic. We use the state information exchanged between the viewer's browser and Netflix as the side-channel. To evaluate our proposed technique, we built the first interactive video traffic dataset of 100 viewers; which we will be releasing. Preliminary results indicate that the choices made by a user can be revealed 96% of the time in the worst case.Comment: 2 pages, 2 figures, 1 tabl

An Open Letter to Netflix

If there is one thing that I will be absolutely ashamed in admitting to you, it’s that I love television. Love it. Not in a turn-it-on-watch-whatever-all-TV-rocks kind of way, but in an I’m-overly-obsessed-with-15-shows-at-a-time kind of way, to the point where I could say that being able to watch the latest episode of Suits or Community could easily be the highlight of my day (week, year…). [excerpt

A Platform for Automating Chaos Experiments

The Netflix video streaming system is composed of many interacting services. In such a large system, failures in individual services are not uncommon. This paper describes the Chaos Automation Platform, a system for running failure injection experiments on the production system to verify that failures in non-critical services do not result in system outages.Comment: Conference publicatio

Formalization of the partnering structure for networked businesses

Rapidly changing market demands and increasing competitive pressure cause many businesses implement changes to the way they conduct business. One of these changes is the decision to collaborate with other businesses, forming what we call a 'networked business'. Networked businesses are formed by different organizations working together to reach a common goal. For the participating organizations in a networked business to be able to promptly react to their customers' needs, they must set up as cornerstone a well-defined collaborative partnering structure. In this report we discuss the partnering structure of networked businesses and present a framework for its formalization. Using a case study, we illustrate that existing approaches for value modeling, roles specification, and responsibilities definition can be used successfully if employed in a unifying way to address this structure concept