ÖIAT Research

The Austrian Institute for Applied Telecommunications (ÖIAT) has been promoting the competent, safe and responsible use of digital media for more than 20 years. Together with our partners, we conduct research on current topics related to the digital world. On this page we provide an overview of past and current research projects.

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CyberSec - Cybersecurity for SME

2021/09 – 2022/03
Cybercrime Cybersecurity SME

Cybercrime is a growing threat for SMEs in Austria, against which technical protection and conventional training do not have the desired effect - because the human factor remains the greatest weakness in cybersecurity measures. The CyberSec project is therefore developing cybercrime simulation methods and tools that focus on strengthening employees' expertise.

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PRIMMING - Monitoring of Price Discrimination in Personalised Pricing for E-Commerce through Machine-Based Learning

2019/10 – 2022/03
Discrimination & Bias Dynamic Pricing Online Shopping

PRIMMING aims to find evidence for price discrimination and dynamic pricing by developing a framework, in which personas, their behaviour and scenarios are modelled. These are to be tested automatically in controlled measurements and the results are to be compared with a control group of real-time users. The objective is to empirically determine the forms and prevalence of dynamic pricing in Austria and to further inquire into discriminations occurring in this context such as related to gender.

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Identity Theft - Impacts on Victims and Pathways to Support

2021/09 – 2022/02
Consumer Protection Fraud Fraud Detection

Identity theft is on the rise, impacting both businesses and consumers. In 2019, approximately eleven percent of Austrians reported having been affected by identity theft. As stolen data is exploited for criminal activities, the repercussions for individuals can be severe. This study will examine the phenomenon of online identity theft from a consumer perspective, aiming to identify key unresolved issues and develop actionable recommendations for protection and prevention.

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DETECT - Real-Time Protection Against Fake Shops Through Community-Driven AI

2020/12 – 2021/11
Fraud Fraud Detection Gamification Online Shopping

The goal of the DETECT project is to transform the Fake-Shop Detector into a community-driven tool using gamification, enhancing its effectiveness in identifying online fraud. This initiative aims to test ways to engage users in key stages of the fake shop detection process, encouraging them to participate in the verification process by answering simple questions in an engaging, interactive manner.

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MAL2 - MAchine Learning Detection of MALicious Content

2019/01 – 2020/12
Artificial Intelligence Fraud Fraud Detection Online Shopping

In the MAL2 (MAchine Learning detection of MALicious content) project, deep neural networks and unsupervised learning are used for the automated detection of a) fraudulent fake shops and b) malicious Android apps (PHAs) and thus contribute to improving cybercrime prevention.

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KOSOH - Consumer Protection in e-Commerce

2018/09 – 2020/08
Artificial Intelligence Fraud Fraud Detection Online Shopping

KOSOH is an important preventive measure in the detection of fake-shops. The goal is to capture the intrinsic knowledge of ÖIAT employees in their abilities of identifying fake-shops and to provide technical methods for assisting and accelerating their work. This includes applying AITs expertise in machine learning (neural networks) for automatically classifying web pages based on their structural information (such as CSS, DOM, Javascript, referenced media, etc.), as well as using image similarity tools for identifying kite marks.

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Online Reviews - Information on Legal Issues Relating to Review Platforms

2019/11 – 2020/06
Consumer Protection Online Shopping

More and more consumers are using review sites. They are increasingly basing their purchasing decisions on the reviews and recommendations of other consumers. At the same time, consumers are sharing their own experiences of products and services to help other consumers with their purchasing decisions. The project answers legal questions related to review platforms and provides consumers with practical tips on how to use review platforms.

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KMU 4.0

2018/04 – 2020/03
SME

In particular, SMEs often lack the resources to deal with the possibilities of digitization, new technologies and their exploitation possibilities. The ACR institutes can play a key role as brokers between large companies, the research community and Austrian SMEs.

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Chatbots in Customer Service

2019/09 – 2020/02
Artificial Intelligence Consumer Protection

Digital customer service is on the rise and (semi) automated systems such as chatbots are increasingly being used. Court rulings currently suggest that this meets the requirement for direct and effective communication set out in the Consumer Rights Directive. But what are the drawbacks of using chatbots for customer service? Can chatbots meet the needs of all consumers, or do they exclude some? What are the requirements and implications of using chatbots? These questions will be adressed in a study.

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preis.wert

2018/12 – 2019/11
Consumer Protection Dynamic Pricing Online Shopping

The topic of dynamic pricing is characterised by uncertainty and rumours. The lack of structured and continuous monitoring makes it difficult to make informed statements about dynamic and personalised pricing tactics. Together with the Austrian Institute of Technology (AIT), we are therefore developing a framework for collecting structured data on dynamic and personalised pricing.

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