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Esecurity: secure internet & e-passports

This course is listed in Aachen Campus as Esecurity: secure internet & e-passports and in Bonn Basis as Esecurity: secure internet & e-passports.


Prof. Dr. Joachim von zur Gathen


Michael Nüsken

Time & Place

First meeting: Tuesday, 08 April 2014.


Pre-exam meeting: Monday, 18 August, 1400, b-it 1.25

Exam: Wednesday, 20 August 2014, 1400, b-it Marschallsaal.

Post-exam meeting: Friday, 29 August 2014, 1100, b-it 1.25 (cosec meeting room).

Exam2 (repetitions only): Monday, 20 October 2014, 1400, b-it 1.25.


The screen notes (PDF 40.0MB) contain all handwritten stuff (last updated 17 July 2014, 11:21).



4+2 SWS.


Basic knowledge in cryptography is needed, as for example the course Cryptography held in the previous winter. Compare our programme.


This course is about various aspects of security in the internet. In the first part we deal with secure connections, whereas the second part considers electronic voting schemes involving further tasks.

In the internet a large variety of protocols ("chatting programs") are in use to make this or that `secure'. VPN, IPsec, SSL, PKI, PGP are just a few tokens that need explanations. We will try to understand a little of that and how things are used and made available.

Passports shall carry more and more sensitive information in a easily accessible way in the future. This information may, apart from name, origin and the like, contain fingerprints or retina scans. And it is stored in electronic form, and it can be accessed by wireless transmissions. This raises a lot of new problems:

The course will try to give an overview what and how things are implemented. We will discuss the concerns of and threats to holders, society and government. Biometrical information has long been used to identify persons. Already, in 1901 Scotland Yard started to use fingerprints to identify criminals. Since then various other methods have been introduced: iris scan, face recognition, retina scans, hand geometry to name just the most prominent. Since about 1965 people have tried to automate all these identification methods. This has shown many difficulties. It is still not clear which information identify a person: for example, though it is widely believed that fingerprints do, only few scientific studies are available. And it turns out to be pretty difficult to find a reliable automatic pattern matcher. Mind that it is not like searching a given fixed string in a dictionary. You have to find the template(s) that are most similar to a given one, or tell that there is none within given bounds.


Epassport related:

Fingerprint related:


We will put each member on the mailing list

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