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Information Security Lab
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A lab that protects information security using AI, blockchain, and cryptography.
AboutAbout the lab
Supporting information in the age of AI through security.
The Information Security Lab researches multimedia security and its related theory and applications.
The lab works on defenses against fake information produced by AI technologies, and on protecting and utilizing personal information using blockchain.
It also studies the complexity of the fundamental problems that underpin the security of cryptography, as well as the reliability and safety of AI-based diagnostic support for medical images.
The lab operates as the Information Security Division of the Department of Computer and Mathematical Sciences, Graduate School of Information Sciences.
Key terms
- Infodemic
- A situation in which a large amount of information, including false and misleading information, spreads rapidly and causes confusion in society
- Blockchain
- A mechanism in which many participants share records without a specific administrator. It serves as the foundation of decentralized systems
- Structural complexity theory
- A theory that investigates how easy or hard problems are to solve by examining the relationships between problems
ResearchResearch themes
The lab's research field is multimedia security and its related theory and applications. Its main themes are defense against new threats created by AI, applications of blockchain, the security of cryptography, and AI for diagnostic support using medical images.
*Illustrative imageA defense foundation against infodemics
AI technologies developed in a data-driven way can also lead to a new threat known as an infodemic. The lab studies defenses against fake information and works on research and development of AI technologies that support digital transformation (DX) in society.
*Illustrative imageUsing blockchain
Blockchain makes it possible to build decentralized systems such as DAOs and DApps. The lab works on research, development, and real-world deployment of applications of this technology, mainly in the protection and utilization of personal information.
*Illustrative imageSecurity of cryptosystems
Many public-key cryptosystems and digital signature schemes rely for their security on computational problems that are believed to be hard to solve efficiently. The lab studies the complexity of the fundamental problems that underpin this security, using methods from structural complexity theory.
*Illustrative imageReliable AI for medical image diagnostic support
The lab analyzes and generates medical images with AI, and analyzes how the data distribution of medical images affects AI performance, among other topics. It aims to make diagnostic support more reliable and safer.
MembersFaculty
The members of the Information Security Lab consist of faculty members, doctoral and master's students, COLABS students, and research students.
- ProfessorMinoru Kuribayashi
- Associate ProfessorMasao Sakai
- Associate ProfessorShuji Isobe
- Assistant ProfessorEisuke Koizumi
- Assistant ProfessorZhang Zhang
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Data Security Breach ( )” Blogtrepreneur / CC BY 2.0 (cropped)
- A defense foundation against infodemics: “Fake News - Computer Screen Reading Fake News” mikemacmarketing / CC BY 2.0 (cropped)
- Using blockchain: “Bitcoin on Laptop Keyboard” Satheesh Sankaran / CC BY 2.0 (cropped)
- Security of cryptosystems: “Asymmetric encryption scheme” MarcT0K (icons by JGraph) / CC BY 4.0 (cropped)
- Reliable AI for medical image diagnostic support: “Medical X-Ray imaging LVR05 nevit” Nevit Dilmen (talk) / CC BY-SA 3.0 (cropped)
- Related lab (ソフトウェア基礎科学): “Tidal Code Screenshot” Kindohm / CC BY-SA 4.0 (cropped)
- Related lab (計算機構論): “Fingerprint scanner identification” Rachmaninoff / CC BY-SA 3.0 (cropped)
- Related lab (ファームウェア科学): “Night sky radio towers” 作者不詳 / CC0 (cropped)
- Related lab (情報基礎数理学 II): “Sine Wave Domain Coloring Corrected” 12root2 / CC BY-SA 4.0 (cropped)
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