FH-Prof. Priv.-Doz. MMag. Dr.
Günther Eibl

Senior Lecturer
Department Information Technologies and Digitalisation

Location: Campus Urstein
Room: Urstein - 421

Teaching (50%)

Deputy head of the center for secure energy informatics
Research interest: Privacy in the smart grid with 2 main parts
Privacy analyses
analyze the information that can be obtained from load profiles using primarily methods from machine learning, statisticsor whatever is useful
Privacy enhancing technologies
Here, the focus in the past was on privacy-preserving data aggregation using homomorphic encryption, masking, differential privacy and wavelet analysis.
Now the focus shifts to (i) tariffs and privacy-preserving price calculation and (ii) application of methods in order strictly proof privacy-preserving properties of proposed privacy-preserving protocols.

Name	Purpose	Lifetime	Type	Provider
_ga	Used to distinguish users.	2 years	HTML	Google
_gid	Used to distinguish users.	1 day	HTML	Google
_dc_gtm_UA-7497985-1	Used by DoubleClick (Google Tag Manager) to help identify the visitors by either age, gender or interests.	2 years	HTML	Google
_gali	Used by Google Analytics to recognize clicks on different links with the same link target.	1 minute	HTML	Google

Name	Purpose	Lifetime	Type	Provider
uslk_umm_101023_s	In addition to the technical details of the widget status and messenger status, it contains IDs of existing contacts so they can be recognized when visiting again ("reauth", "uuid", "token").	1 years	HTML	Userlike
uslk_s	Userlike Session Cookie	1 years	HTML	Userlike
uslk_e	Userlike Expire Cookie	1 years	HTML	Userlike