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Mori Lab
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The lab studies information security and privacy from the attacker's perspective.
AboutAbout the lab
Protecting everyday systems from attacks
The Mori Lab studies information security and privacy in order to protect the many systems that support daily life from malicious attacks.
The lab covers a wide range of targets, including smartphones, IoT devices, wireless networks, AI, and self-driving cars.
In its security research, the lab places importance on thinking from the attacker's point of view.
Key terms
- IoT
- A variety of everyday devices and equipment that are connected to the internet
- DNS
- A system that links internet addresses (domain names) to the numerical addresses of computers
- Encryption
- A technology that converts the content of communication into a form that third parties cannot read
NewsLab news
A student's paper was accepted at ACSAC 2026
A student's paper was accepted at ICICS 2026
A student's paper was accepted for publication in the Journal of Information Processing
Prof. Mori received the Chairman's Award of the Information and Communications Month Promotion Council
A student's paper received the SCIS2026 Paper Award
ResearchResearch themes
The Mori Lab studies information security and privacy in order to protect the many systems that support daily life from malicious attacks. The lab covers a wide range of targets, including smartphones, IoT devices, wireless networks, AI, and self-driving cars.
*Illustrative imageMismatches Between App Descriptions and Permissions
This research uses code and text analysis to reveal discrepancies between the description of a smartphone app and the permissions it actually uses to access personal information.
*Illustrative imageAutomatic Classification of Similar Apps
The lab studies a system that analyzes large numbers of smartphone apps, finds similar ones, and automatically classifies them into groups such as copycat apps.
*Illustrative imageAutomatic Discovery of Malicious URLs
Starting from lists of already known malicious URLs, the lab studies a system that automatically finds malicious URLs that are not yet known.
*Illustrative imageInferring the Destinations of Encrypted Communication
The lab studies how to infer the name of the server being contacted, even in encrypted communication, using traffic exchange patterns and DNS information.
MembersFaculty
The Mori Lab consists of faculty, secretaries, visiting and contract researchers, doctoral, master's, and undergraduate students, and exchange students.As of 2026
- ProfessorTatsuya Mori
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: “account phishing fr 2” Phishing killer / CC0 (cropped)
- Mismatches Between App Descriptions and Permissions: “Leaf insect nymph” Shyamal / CC BY-SA 4.0 (cropped)
- Automatic Classification of Similar Apps: “- grapes on the vine - 3 strands dangling side by side - (HiRes focus stack)” Franz van Duns / CC BY-SA 4.0 (cropped)
- Automatic Discovery of Malicious URLs: “Nepenthes rafflesiana ant” NepGrower / CC BY 2.5 (cropped)
- Inferring the Destinations of Encrypted Communication: “Frosted Glass” James / CC BY 2.0 (cropped)
- Related lab (Morita Lab): “Optical fiber in protective coating that transports a Laser beam - Laser Physics Lab - NTNU-NT” NTNU, Faculty of Natural Sciences and Technology / CC BY 2.0 (cropped)
- Related lab (Togawa Lab): “Chain of home devices (including IoT) with passwords or pin” Andrzej Kasprzyk (itring.pl) / CC BY 3.0 (cropped)
- Related lab (Katto Lab): “Studio A broadcast area ( )” Atomic Taco from Seattle, WA, USA / CC BY-SA 2.0 (cropped)
- Related lab (Kawahara Lab): “Kanji (Unsplash)” Niketh Vellanki / CC0 (cropped)
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