WiSec 2017

Reproducibility Label

This year WiSec is pioneering a process to support greater reproducibility in mobile and wireless security experimental research. The goal of this process is to increase the impact of mobile and wireless security research, enable dissemination of research results, code and experimental set-ups, and to enable the research community to build on prior experimental results. Towards this goal, WiSec is introducing a reproducibility label to recognize papers whose results were reproduced by an independent reproducibility committee. Authors of accepted papers can participate in this voluntary process by submitting supporting evidence of their experiments’ reproducibility, following the instructions below. Authors are encouraged to plan ahead when running their experiments, in order to minimize the overhead of applying for this label.

In this first iteration, the authors will:

• Prepare a VirtualBox VM with all data/tools installed. It is expected that the authors include within this VM raw data (without any pre-processing) and all the scripts used for pre-processing.
• For each graph/table, provide a directory (Fig_XXX, Table_XXX) which contains a script that enables the committee to regenerate that object.
• Include in the home directory a readme file, according to the following format. The authors can use the following script to generate information about the configuration of the machine that was used for the experiments.
• Provide a link to downloading the VM (e..g, google drive or dropbox), or request credentials to upload the VM to the conference storage system.
• Submit a request on easychair (https://easychair.org/conferences/?conf=wisec17reproducibili) and include a link within the abstract to your VM. [Deadline: June 2, 2017]

If the committee can verify that all relevant data sets were included and the graphs/tables can be regenerated based on this, the committee will grant a Reproducibility Label and also provide a report on the regeneration process.

• Guevara Noubir (Chair), Northeastern University
• Paul Patras, University of Edinburgh
• Aanjhan Ranganathan, ETHZ
• Triet Vo-Huu, Northeastern University

• Massive Reactive Smartphone-Based Jamming using Arbitrary Waveforms and Adaptive Power Control
  Matthias Schulz (Technische Universität Darmstadt, Germany), Francesco Gringoli (University of Brescia, Italy), Daniel Steinmetzer (Technische Universität Darmstadt, Germany), Michael Koch (Technische Universität Darmstadt, Germany), Matthias Hollick (Technische Universität Darmstadt, Germany)
• Binary Hash Tree based Certificate Access Management for Connected Vehicles
  Virendra Kumar (OnBoard Security), Jonathan Petit (OnBoard Security), William Whyte (OnBoard Security)
• Physical-Layer Fingerprinting of LoRa devices using Supervised and Zero-Shot Learnin
  Pieter Robyns (UHasselt - tUL - imec), Eduard Marin (ESAT-COSIC and imec), Wim Lamotte (UHasselt - tUL - imec), Peter Quax (UHasselt - tUL - imec), Dave Singelée (ESAT-COSIC and imec), Bart Preneel (ESAT-COSIC and imec)
• An Autonomic and Permissionless Android Covert Channel
  Ken Block (Northeastern University), Sashank Narain (Northeastern University), Guevara Noubir (Northeastern University)
• Trashing IMSI Catchers in Mobile Networks
  Mohammed Shafiul Alam Khan (ISG, Royal Holloway, University of London), Chris J Mitchell (ISG, Royal Holloway, University of London)
• Resilient Privacy Protection for Location-Based Services Through Decentralization
  Hongyu Jin (KTH), Panos Papadimitratos (KTH)