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Note
titleTopic Info Meeting

If you plan on doing your Bachelor's or Master's thesis/P1/P2 with COSY , 

Please attend the topic discussion session for WiSe 2023:

When:

Tuesday  11

Wednesday  16:30
Where: Seminarraum

6

11, Währingerstrasse 29, 1090 Wien

Please prepare yourself for this session:

  • Read the topic descriptions and pick at least 2 topics that spark your interest

  • Write down your associations and assumptions about the topics (e.g. your interests, research questions and methods that come to mind). Ideally, take a first look at the available literature.

     → The better your preparation, the greater the likelihood that we can optimally supervise you (smile)


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Human-Computer Interaction (HCI)

Networks and Network Security

  • Human Factors and Interaction Design of ICTs
  • Usability, Usable Security, User Research, (Participatory) ideation and iterative prototyping
  • Social Computing, Technology and the cultural domain - “Culture over IP”
  • Ubiquitous and mobile HCI
  • Computer Supported Cooperative World - Social Computing/Social Informatics, Cooperative Systems
  • Computer Networks --- design, operation, and use
  • Internet of Things / Internet of People
  • AAA - Authentication, Authorization, Accounting in IoT ecosystems
  • NEW: Federated Online Social Networks (Fediverse and Mastodon)
  • Decentralized security mechanisms (blockchain, trust, transparency, privacy)


If you are interested in "Praktika" or Bachelor/Master-Theses in the Area of Human-Computer Interaction (HCI), please contact:

Oliver Hödl (oliver.hoedl@univie.ac.at)

If you are interested in "Praktika" or Bachelor/Master-Theses in the Area of Networks and Network Security, please contact:

Albert Rafetseder (albert.rafetseder(at)univie.ac.at) orKaspar Lebloch (kaspar.lebloch(at)univie.ac.at) or

Paul Fuxjäger (paul.fuxjaeger(at)univie.ac.at).

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Table of Contents
minLevel3

 

a. Topics with an HCI-related focus

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Federated Online Social Network Monitoring - available

The Mastodon network - currently 4.4 million active accounts on +4000 servers - is regarded as the most successful alternative online social network yet:

https://joinmastodon.org

Unlike Twitter, Facebook, Instagram, TikTok - this service is NOT based on manipulative strategies like targeted advertising and algorithmic outrage maximisation - which are posing imminent threats to democracies worldwide - and for this reason, the network keeps evolving rapidly.

→ However, its decentralized nature creates exciting challenges for monitoring "network health".

Your task is to:

  1. Conduct research on the current state-of-the-art in monitoring of federated network statistics (e.g. nr. of posts per instance over time, blocking events, outages...)
  2. Apply your insights and ingenuity to help improving the situation, e.g.
    1. Aggregation of publicly available statistical data (via mastodon server APIs)
    2. Setup a public monitoring service directory - similar to https://instances.social/list/advanced#lang=&allowed=&prohibited=&min-users=&max-users=
    3. Propose new ideas on "how to measure network health" of a federated online social network

Further reading: https://fediverse.party/en/mastodon

Further watching: https://media.ccc.de/v/rc3-857362-die_rosarote_brille_des_fediverse


If you are interested in the future of online social networking systems (democratically legitimised moderation and algorithms + resistance against spam, censorship, denial-of-service...) then this topic may be something for you (smile)

If you're interested, please contact Paul Fuxjäger (paul.fuxjaeger(at)univie.ac.at).


Promiscuous Mode for the ESP8266 - available

The ESP8266 offers an interesting WiFi-enabled small-scale embedded platform. Your task is to extend the MicroPython firmware available for it to enable its wireless interface's promiscuous mode. This lets an ESP8266 act as a passive WiFi sensing and measurement device. Based on your implementation, you design a distributed experiment with multiple devices that makes use of your new feature, e.g. track WiFi beacons from smartphones across geographical areas in a privacy-preserving manner.

If you're interested, please contact Albert Rafetseder (albert.rafetseder@univie.ac.at)

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