Physical-layer device identification aims at identifying wireless devices during radio communication by exploiting unique characteristics of their analog (radio) circuitry. This work systematizes the existing knowledge on this topic in order to enable a better understanding of device identification, its implications on the analysis and design of security solutions in wireless networks and possible applications. We therefore present a systematic review of physical-layer identification systems and provide a summary of current state-of-the-art techniques. We further present a classification of attacks and discuss the feasibility, limitations, and implications in selected applications. We also highlight issues that are still open and need to be addressed in future work.

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In this work, we study physical-layer identification of passive UHF RFID tags. We collect signals from a population of 70 tags using a purpose-built reader and we analyze time domain and spectral features of the collected signals. We show that, based on timing features of the signals, UHF RFID tags can be classified, independently of the location and distance to the reader (evaluated up to 6 meters), with an accuracy of approx. 71% (within our population). Additionally, we show that is possible to uniquely identify a maximum of approx. 2 6 UHF RFID tags independently of the population size. We analyze the implications of these results on tag holder privacy. We further show that, in controlled environments, UHF RFID tags can be uniquely identified based on their signal spectral features with an Equal Error Rate of 0% (within our population); we discuss the application of those techniques to cloning detection in RFID-enabled supply chains.

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XIPE, the X-ray Imaging Polarimetry Explorer, is a mission dedicated to X-ray Astronomy. At the time of writing XIPE is in a competitive phase A as fourth medium size mission of ESA (M4). It promises to reopen the polarimetry window in high energy Astrophysics after more than 4 decades thanks to a detector that efficiently exploits the photoelectric effect and to X-ray optics with large effective area. XIPE uniqueness is time-spectrallyspatially-resolved X-ray polarimetry as a breakthrough in high energy astrophysics and fundamental physics. Indeed the payload consists of three Gas Pixel Detectors at the focus of three X-ray optics with a total effective area larger than one XMM mirror but with a low weight. The payload is compatible with the fairing of the Vega launcher. XIPE is designed as an observatory for X-ray astronomers with 75 % of the time dedicated to a Guest Observer competitive program and it is organized as a consortium across Europe with main contributions from

Abstract-Counterfeit products cause financial losses and represent a health risk. Within RFID-enabled supply chains, where products are equipped with RFID tags, clone detection mechanisms based on tag traces can help in detecting counterfeits. These mechanisms assume that supply chain partners share (private) information to run trace analysis, and may suffer from supply chain dynamics, tag misreads, product recalls, and misdeliveries. In this work, we present a novel, effective, privacy-preserving clone detection mechanism for RFID-enabled supply chains. Our mechanism does not rely on global knowledge of supply chain structures or products flow, it is robust to recalls and misdeliveries, and considers tag misreads while evaluating the presence of counterfeits. We propose privacy-preserving implementations of our mechanism that show better performance when compared to similar implementations based on existing secure multi-party computation frameworks.

The aviation world is dealing with the development of new and greener aviation. The need for reducing greenhouse gas emission as well as the noise is a critical requirement for the aviation of the future. The aviation world is struggling with it, and a compelling alternative can be the electric propulsion. This work aims to present THEA-CODE, a tool for the conceptual design of hybrid-electric aircraft. The tool evaluates the potential benefits of the electric propulsion in terms of fuel burnt and direct and indirect CO2 emissions. THEA-CODE is suitable not only for conventional “wing-tube” configurations but also for unconventional ones, such as the box-wing. The results show a significant reduction of fuel burnt adopting batteries with energy density higher than the current state of the art. A procedure to find the potential best compromise configurations is presented as well.

Abstract. In this work, we demonstrate the practicality of people tracking by means of physical-layer fingerprints of RFID tags that they carry. We build a portable low-cost USRP-based RFID fingerprinter and we show, over a set of 210 EPC C1G2 tags, that this fingerprinter enables reliable identification of individual tags from varying distances and across different tag placements (wallet, shopping bag, etc.). We further investigate the use of this setup for clandestine people tracking in an example Shopping Mall scenario and show that in this scenario the mobility traces of people can be reconstructed with a high accuracy.