The digital transformation in Germany is progressing. Citizens are increasingly storing sensitive data in their private networks, which is being reinforced by the trend towards working from home. Smart home applications are also increasingly finding their way into German households. Unfortunately, IoT devices are often inadequately protected and generally do not allow protective measures to be retrofitted.
For these reasons, smart home devices and private home networks are increasingly becoming the focus of cybercriminals. The KISSHome project is dedicated to this problem and aims to improve the protection of citizens’ home networks through the use of AI. Particular emphasis is placed on protecting the privacy of users and ensuring that the desired solution is user-friendly.
The KISSHome project is developing techniques and methods to ensure network security that are based on suitable AI algorithms and also offer a high level of privacy protection. A particular focus of the project is on the acceptance and usability of the resulting security system. The focus is on the users and their requirements and usage behavior. In addition to acceptance and usability tests with citizens, experts from the consortium’s network are involved in the development in order to transfer knowledge and requirements bidirectionally and ensure a high level of relevance of the resulting solution.
The user-friendly security system for protecting home networks, which is based on the implementation and use of AI algorithms, aims to strengthen the IT security of citizens. The user-centered and open-source approach is intended to minimize the barriers to using the technology. In this way, KISSHome creates a real application with practical benefits, which supports and relieves citizens in the important area of smart home security.
Institute for Internet Security – if(is); Westphalian University of Applied Sciences Gelsenkirchen Bocholt Recklinghausen, Gelsenkirchen (WHS)
Institute for Innovation Marketing; Hamburg University of Technology (TUHH)
Funding amount:
1.84 million € (of which 100% funded by the BMBF)
Start date/end date:
08/2022 – 07/2025
Funding organization:
BMBF
Project sponsor:
VDI/VDE
Contact person:
Sassan Sangsari/Steven Dehlan
Website:
https://kisshome.de/
Social media accounts: –