Exposing congestion attack on emerging connected vehicle based traffic signal control

Exposing congestion attack on emerging connected vehicle based signal traffic signal control Chen et al., NDSS’18 I selected this paper as a great case study on the need to consider adversarial scenarios when deploying IoT and smart city systems. It was also an eye opener to me just how quickly the U.S. Department of Transport … Continue reading Exposing congestion attack on emerging connected vehicle based traffic signal control

Cardiologist-level arrhythmia detection with convolutional neural networks

Cardiologist-level arrythmia detection with convolutional neural networks Rajpurkar, Hannun, et al., arXiv 2017 See also https://stanfordmlgroup.github.io/projects/ecg. This is a story very much of our times: development and deployment of better devices/sensors (in this case an iRhythm Zio) leads to collection of much larger data sets than have been available previously. Apply state of the art … Continue reading Cardiologist-level arrhythmia detection with convolutional neural networks

Enabling signal processing over data streams

Enabling signal processing over data streams Nikolic et al., SIGMOD '17 If you're processing data coming from networks of sensors and devices, then it's not uncommon to use a mix of relational and signal processing operations. Data analysts use relational operators, for example, to group signals by different data sources or join signals with historical … Continue reading Enabling signal processing over data streams

An experimental security analysis of an industrial robot controller

An experimental security analysis of an industrial robot controller Quarta et al., IEEE Security and Privacy 2017 This is an industrial robot: The International Federation of Robotics forecasts that, by 2018, approximately 1.3 million industrial robot units will be employed in factories globally, and the international market value for "robotized" systems is approximately 32 billion … Continue reading An experimental security analysis of an industrial robot controller

IoT goes nuclear: creating a ZigBee chain reaction

IoT goes nuclear: creating a ZigBee chain reaction Ronen et al., IEEE Security and Privacy 2017 You probably don't need another reminder about the woeful state of security in IoT, but today's paper choice may well give you further pause for thought about the implications. The opening paragraph sounds like something out of science fiction … Continue reading IoT goes nuclear: creating a ZigBee chain reaction

FM Backscatter: Enabling connected cities and smart fabrics

FM Backscatter: Enabling connected cities and smart fabrics Wang et al., NSDI'17 If we want to connect all the things, then we need a means of sending and/or receiving information at each thing. These transmissions require power, and no-one wants to have to plug in chargers or keep swapping batteries for endless everyday objects. So … Continue reading FM Backscatter: Enabling connected cities and smart fabrics

ViewMap: Sharing private in-vehicle dashcam videos

ViewMap: Sharing private in-vehicle dashcam videos Kim et al., NSDI'17 In the world of sensor-laden connected cars that we're rushing towards, ViewMap addresses an interesting question: how can we use the information collected by those cars for common good, without significant invasion of privacy? It raises deeper questions too about the limits of state surveillance … Continue reading ViewMap: Sharing private in-vehicle dashcam videos

FarmBeats: An IoT platform for data-driven agriculture

FarmBeats: An IoT platform for data-driven agriculture Vasisht et al., NSDI '17 Today we have another pragmatic, low cost, IoT system case study. And it's addressing a problem almost as important as cricket: how can we help to meet the burgeoning demand for food across the globe by increasing farm productivity? [Just in case British … Continue reading FarmBeats: An IoT platform for data-driven agriculture

BTrDB: Optimizing Storage System Design for Timeseries Processing

BTrDB: Optimizing Storage System Design for Timeseries Processing - Anderson & Culler 2016 It turns out you can accomplish quite a lot with 4,709 lines of Go code! How about a full time-series database implementation, robust enough to be run in production for a year where it stored 2.1 trillion data points, and supporting 119M … Continue reading BTrDB: Optimizing Storage System Design for Timeseries Processing