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Information Systems Security Lab
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A security lab that studies how to protect information systems from cyberattacks.
AboutAbout the lab
Building and verifying information infrastructure that resists attacks.
The lab conducts research centered on cybersecurity to realize secure, high-performance information infrastructure.
Its main research themes include Moving Target Defense (MTD), threat tracing that reproduces and analyzes attacks, and dynamic malware analysis.
Beyond theoretical study, the lab emphasizes implementation and evaluation, aiming to establish technologies ready for real-world operation.
Members build their knowledge and practical skills through study groups, rotating-presenter reading seminars, and team participation in CTF competitions.
Key terms
- MTD
- Short for Moving Target Defense. A defense approach that dynamically changes a system's configuration to make attacks less likely to succeed.
- Threat tracing
- Simulation and tracing techniques that reproduce and analyze the behavior and impact of attacks, supporting the design of countermeasures.
- CTF
- Short for Capture the Flag. Competition-style exercises in which participants test their information security knowledge and skills.
ResearchResearch themes
The lab studies technologies for protecting information systems and data from attacks, covering everything from design to implementation and evaluation. Its work includes defenses that make attacks harder by changing system configurations, and methods for reproducing and analyzing attack behavior.
*Illustrative imageDesign and evaluation of defense technologies against attacks
The lab analyzes the conditions under which attacks succeed and the extent of their impact, then designs and evaluates defense technologies that can be used in real environments. The targets of protection are the confidentiality, integrity, and availability of information assets.
*Illustrative imageMTD: defending by moving the target
This is a defense approach that changes system settings and configurations over time to reduce the probability that an attack succeeds. Applying it across multiple IT domains, the lab aims to balance defensive performance against operational burden and performance impact.
*Illustrative imageThreat tracing: reproducing and analyzing attacks
The activities of threats such as malware used in APT attacks, once they have intruded, are represented with a high-level abstract model and simulated. The aim is to inform the design and operation of information systems.
*Illustrative imageAttack detection built into web applications
The lab implements and evaluates, in the frameworks that serve as the foundation for building web applications, functions that detect attacks and functions that redirect attacks to honeypots. It aims for detection tailored to the characteristics of each application.
MembersFaculty
The lab's members consist of faculty and students in the doctoral, master's, and undergraduate programs.
- ProfessorHiroshi Koide
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: “Cybersecurity Visuals Challenge 2019 - Rebecca Wang” Rebecca Wang / CC BY 4.0 (cropped)
- Design and evaluation of defense technologies against attacks: “National Security Operations Center photograph, c. 1975 - National Cryptologic Museum - DSC07658” Daderot / CC0 (cropped)
- MTD: defending by moving the target: “US Navy 080528-N-2147L-004 Information Technician 2nd Class Darrell Pierson observes as Information Technician Seng Saeturn reconfigures network cable on the Navy Cyber Defense Operations Command network” U.S. Navy photo by Mass Communication Specialist 1st Class Corey Lewis / Public domain (cropped)
- Threat tracing: reproducing and analyzing attacks: “NSOC-2012” Unknown photographer / Public domain (cropped)
- Attack detection built into web applications: “First Web Server” User:Coolcaesar at en.wikipedia / CC BY-SA 3.0 (cropped)
- Related lab (Educational Information Infrastructure Lab): “AI and Wikipedia in Education session in wikimania 2026 (4)” Anup Sadi / CC BY-SA 4.0 (cropped)
- Related lab (Network and Security Lab): “Network based intrusion detection system” Rkouere / CC BY-SA 4.0 (cropped)
- Related lab (Pan-Omics Measurement and Computational Science Lab): “A Data-Driven Journey to the Center of the Eath” OLCF / CC BY 2.0 (cropped)
- Related lab (Advanced Computational Science Lab (Kazuki Yoshizoe)): “Xserve cluster NASA” 作者不詳 / Public domain (cropped)
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