The Interdisciplinary Center for Security, Reliability and Trust (SnT) at University of Luxembourg is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. SnT is active in several international research projects funded by the EU H2020 and the European Space Agency
Your Tasks
We seek a highly skilled doctoral student to work in the domain of computer science with strong focus on security and privacy in distributed systems, network communication. Traditional secure communication systems still leak information about the routing of messages in the network (who is talking to whom, time and volume of data transmitted, chat initiation and replies, on-line presence) that may be used by adversaries to gain intelligence. Making use of this information, called traffic analysis, has been known and practiced for many years by military and intelligence agencies. Now it is also a common tool for hackers, trying to probe networks, to discover their topology and vulnerabilities, as well as fraudsters that attempt to extract personal data to trick individuals or perform identity theft. Based on our work in this domain published in NDSS 2016 and WPES 2011, our goal will be to analyze the susceptibility of existing privacy-preserving routing protocols with respect to traffic analysis and to design and analyze appropriate countermeasures taking into account quality-of-service, scalability, and legal requirements.
Your profile
Master’s degree (or equivalent) in Computer Science, Applied Mathematics/Physics or related disciplines
Knowledge of at least one programming language (C++, Java, etc.) and one scripting language (Perl, Python, etc)
Basic Linux/Unix skillsKnowledge of data mining, machine learning, statistics and result visualization concepts is of advantage
Excellent working knowledge of English; German and/or French is of advantage
Excellent communication skills
send your application to andriy.panchenkoATuni.lu as soon as possible
Deadline: 15. March 2017
More info:
https://secan-lab.uni.lu/phd-position