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Security Seminar: Topics

Topics

Below you find a list of the possible topics you can choose in the privacy seminar, together with an initial set of references on the topic. Note that not all reference may be relevant for the specific topic of your paper. To help you in your selection, some of the papers will be available on line for a short while.
Privacy in databases
How to provide (controlled) access to personal data stored in databases, without immediately threatening the privacy of the people involved, using mechanisms like differential privacy or statistical disclosure control.
Privacy friendly search
How to hide the query (i.e. what is searched for) from the party hosting the database.
Searching in encrypted databases
How to also hide the underlying data in the database from the party hosting the database.
Privacy in machine learning
How to ensure that individual data used to train a machine learning model is not leaked when using the model.
Polymorphic encryption
How to protect privacy in e.g. health care where data must be made conditionally accessible to certain care providers while staying encrypted in general.
Privacy friendly identity management
How to use e.g. attribute based credentials or other claims based approaches to make identity management more privacy friendly.
Privacy friendly revocation of credentials
How to (efficiently) revoke anonymous credentials. I.e. how to revoke a particular credential, even though individual credentials cannot be traced by definition.
Revocable privacy
How to guarantee privacy while also guaranteeing that all users of a system abide by some predetermined rules, i.e. how to design systems that are both privacy friendly and secure.
Privacy friendly location based services
How to provide a service that depends on the user's current location, without revealing the actual, exact location?
Privacy in asynchronous messaging
How to establish contact anonymously, and how to subsequently exchange messages in an unlinkable fashion that prevents the service provider to learn who is communicating with who.
Anonymous cryptocurrencies
How to make Bitcoin like cryptocurrencies privacy friendly.
Secure multiparty computation
How to jointly compute the output of a function (e.g. some aggregate statistic) without revealing the individual inputs.
You can also propose your own topic, but your choice has to be approved. Note: for every topic, make sure you make clear what the problem to be solved is, and why this is a problem in practice. Also question to what extend the proposed mechanisms actually preserve privacy. Find studies that attach the proposed schemes.

Selected references

Below you can find a set of references to get you started on a topic. These are by no means the only relevant references. You are encouraged, in fact required, to find other references on your own.

Privacy in databases

Privacy friendly search

Searching in encrypted databases

Privacy in machine learning

Polymorphic encryption

Privacy friendly identity management

Privacy friendly revocation of credentials

Revocable privacy

Privacy friendly location based services

Privacy in asynchronous messaging

Anonymous cryptocurrencies

Secure multiparty computation

 


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Email: jhh@cs.ru.nl