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Data Security in the Internet of Things Applications (M)

Status: Offen


With the advent of the Internet of Things (IoT), there is a rise in the number of smart devices that are empowered with sensing, actuating and communication capabilities to enhance and create unique forms of interaction with our immediate surroundings. The possibility of inferring privacy violating information from IoT data necessitates adequate security measures regarding data storage and communication.

However, security is still neglected by most applicaitons. As these devices are integrated in our proximate living space, they deal with sensitive and private data that can be misused to infer information about our daily habits. This consequently raises unique security and privacy challenges that drive the need for security to be an integral part of any IoT system. Specifically, the protection of the data created by IoT devices needs further attention.


Student Role

The goal of this thesis is to enable data security for IoT Applications. We will enable this based on the Talos framework (source code). More info on Talos and the underlying concepts can be found in the following papers:


This project requires interest in security and familiarity with database systems. The student is expected to work with state of the art smartphones. Therefore, he/she should have some basic experience with Java, C/C++, and SQL and be interested in working with new tools. Also, background in cryptography, network security, and communication is helpful but not mandatory. We expect our students to be highly motivated to work on their topics and to cooperate with their supervisors regularly to discuss current progress and next steps.

What we offer:

This topic will give you the opportunity to learn and practice wide range of research tools in systems and security research. To speed-up your learning curve we will support you with tutorials and how-tos. We offer you a great work atmosphere, which is both casual and challenging, motivated advisors, and a good coffee machine ;)

Contact/Ansprechpartner: Hossein Shafagh, Lukas Burkhalter

ETH ZurichDistributed Systems Group
Last updated May 24 2018 03:02:37 PM MET hs