Research Area

private-AI and Private-Big Data processing

Advances in artificial intelligence and big data processing technology have made it possible to create a lot of useful knowledge using data, but restrictions on the use of data due to many problems such as difficulty of sharing data due to their ownership and exposure of privacy of entities connected to the data. This study aims to improve the practicality of artificial intelligence and big data processing technology by solving the problems of ownership and privacy of such data and studying an efficient and safe sharing and access control method of data existing in different security domains.

Various Authentications (over Blockchain or AgAINST AI-based attack)

Distributed ledger technology represented by block chain and artificial intelligence technology showed the possibility of expanding the functionality of the existing authentication method, and also raised the problem of safety of the existing authentication methods. Distributed ledger technology made it possible to efficiently authenticate through collaboration of various entities, and artificial intelligence technology reduced the safety of the existing authentication method based on the user's cognitive function. Based on these topics, this study aims to create an innovative authentication system that applies distributed ledger and artificial intelligence technology.