24/10/2017
The Human Resources Strategy for Researchers

Software Developer

This job offer has expired


  • ORGANISATION/COMPANY
    Universitat Pompeu Fabra - ETIC
  • RESEARCH FIELD
    Computer science
    TechnologyComputer technology
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    12/11/2017 23:00 - Europe/Brussels
  • LOCATION
    Spain › Barcelona
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    37'5
  • OFFER STARTING DATE
    01/11/2017
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / ERC
  • REFERENCE NUMBER
    H2020-ERC-ADV. GRANT-POSTCELL- Post-Cellular Wireless Networks

As services steadily migrate to the Cloud, the availability of an overarching identity framework has become a stringent need. Moreover, such an identity framework is now critical in the Internet of Things. To address this problem, identification solutions have been proposed in the past leveraging software or hardware properties of devices. While those solutions proved feasible, their root of trust was based either within the device or in a remote server. In this paper, we overcome the above paradigm and star investigating novel perspectives offered by an overarching identity framework that is not based on client/server properties, but on the network latency of their communications. The core idea behind our approach is to leverage cloud client/server interactions’ latency patterns over the network to derive unique and unpredictable identity factors. Such factors can be used to design and implement effective identification schemes especially suitable for cloud-based services. To the best of our knowledge, our approach is the first one ensuring unclonability and unpredictability properties, relying on neither trusted computing bases (TCBs) nor on classical pseudo-random number generators (PRNGs). Our experimental tests presented in this paper, conducted on worst case conditions, show that the network latency (generated between two interacting devices) can produce random values with properties close to the ones generated by most of the well-known PRNGs, that are an ideal fit for providing unique identifiers.

Main work is aimed at improving the actual implementation and results by:

1. Implementing a better version of our three-way handshake protocol on top of a real world application (such as Dropbox) to collect data from real users;

2. Test the new dataset in the NIST Statistical Test Suite for Random and Pseudorandom Number Generators to check its quality;

3. Reproduce some well-known cryptographic attacks[1] against our latency based random number generator and compare its behaviour to other PRNGs.

Additional comments

Contract funded through european project:

H2020-ERC-ADV. GRANT-POSTCELL- Post-Cellular Wireless Networks

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Computer science: Bachelor Degree or equivalent
Work location(s)
1 position(s) available at
Universitat Pompeu Fabra - ETIC
Spain
Barcelona
08018
Roc Boronat 138

EURAXESS offer ID: 254547

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