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Cryptography and Information Security Lab
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A lab that studies cybersecurity from both the cryptography and the networking side.
AboutAbout the lab
Studying security through networks and cryptography
The lab studies cybersecurity from two sides: network security and cryptography.
Building on this work, it also studies the security of blockchains and crypto-assets.
The lab analyzes real blockchain and crypto-asset data and investigates countermeasures against attacks that cause malware to be misclassified as benign files.
On the lab's website, it is introduced under the name "Omote Lab."
Key terms
- Blockchain
- A distributed ledger technology that links units of data called blocks at regular intervals, recording and publishing the entire history of executions
- Crypto-asset
- Cryptocurrencies such as Bitcoin and Ethereum. A representative example of blockchain technology
- adversarial example
- A new type of attack that causes malware to be misclassified as a benign file
NewsLab news
A student's paper received the BWS2025 Innovation Research Award at the Computer Security Symposium 2025
A student's paper received the CSEC Outstanding Research Award at the CSEC research meeting (traceability across multiple blockchains)
A student's paper received the CSEC Outstanding Research Award at the CSEC research meeting (cold wallets)
A paper received the Excellence Award of the Shigeo Tsujii Security Paper Award from the Japan Society of Security Management
A student's paper received the CSS2023 Concept Research Award at the Computer Security Symposium 2023
ResearchResearch themes
As DX (digital transformation) advances, almost every field that handles data can become a subject of cybersecurity research. Centered on network security and cryptography, the lab studies blockchains and crypto-assets, countermeasures against cyberattacks, IoT, and privacy protection.
*Illustrative imageAnalyzing the Security of Blockchains
This research targets crypto-assets such as Bitcoin and Ethereum. It analyzes real blockchain and crypto-asset data to clarify the security of blockchains. Identifying cyberattacks and latent security risks is considered important.
*Illustrative imageCountermeasures Against Attacks That Cause Malware Misclassification
A new type of attack (adversarial examples) that causes malware to be misclassified as benign files is seen as a serious problem. Because simply applying machine learning cannot solve it, the research aims to build and demonstrate methods that make systems resistant to such attacks through preprocessing such as dimensionality reduction.
*Illustrative imageSecure Automatic Authentication and Automatic Payment for IoT Devices
The number of IoT devices connected to the internet is expected to become enormous, which will require autonomous management. This research builds and demonstrates secure systems for automatic authentication and automatic payment using IoT devices and smart contracts.
*Illustrative imageApplications of Cryptography Incorporating New Technologies
Cryptography is used in combination with networks, software, and hardware, so applying a new technology requires revisiting the overall design, including security and efficiency. The research applies blockchains, smart contracts, and TEEs (trusted execution environments) to cryptographic and authentication systems, aiming for greater functionality and efficiency.
MembersFaculty
The lab's members consist of faculty, visiting researchers, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorKazumasa Omote
- Assistant ProfessorTaisei Takahashi
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: “Padlock and key - 17c - Ryazan Kremlin Museum” Лапоть / CC0 (cropped)
- Analyzing the Security of Blockchains: “Blockchain books Donner Rotterdam 22 Dec 2017” Someone Not Awful / CC BY-SA 4.0 (cropped)
- Countermeasures Against Attacks That Cause Malware Misclassification: “Kosovo Security Force - Cyber security” Sgt. Samantha Hircock / Public domain (cropped)
- Secure Automatic Authentication and Automatic Payment for IoT Devices: “Suica payment on vending machine ( )” Real Estate Japan from Tokyo, Japan / CC BY 2.0 (cropped)
- Applications of Cryptography Incorporating New Technologies: “Enigma-IMG 0487-black” Rama / CC BY-SA 2.0 fr (cropped)
- Related lab (暗号理論研究室): “RED cipher machine clutch.agr” ArnoldReinhold / CC BY-SA 4.0 (cropped)
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ソフトウェア研究室): “Azaleos NOC” Azaleos / CC BY-SA 3.0 (cropped) - Related lab (システムセキュリティ研究室): “LC-P computer keyboard - IC encapsulated on printed circuit board-3464” Raimond Spekking / CC BY-SA 4.0 (cropped)
- Related lab (サービスコンピューティング研究室): “Modern exchange equipment” Vivien Guéant / CC BY-SA 3.0 (cropped)
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