Takuya Yoshida

Department

• Digital Infrastructure Innovation Dept.,
  InfoTech Div.

Biography

• 2018-

  Engaged in research and development on security for connected cars

• 2016-
  2018

  Conducted marketing and planning for security products

• 2011-
  2016

  Transferred to Silicon Valley, U.S.

• 2002-
  2011

  Engaged in the security of products and services, in areas ranging from cryptographic primitives to applications and development, including research on encryption and authentication algorithms, research and development on web application security, and design and development on content protection

• 2002

  Completed the doctoral program at Tokyo Institute of Technology and joined an electronics manufacturer

Publication List/Conference presentation

Paper

• Anomaly Communication Detection for IoT Devices Using VPC Flow Logs Considering Response Communication, The Japanese Society for Artificial Intelligence, The 39th Annual Conference of the Japanese Society for Artificial Intelligence, 2025

• A Study of Anomalous Communication Detection for IoT Devices Using Flow Logs in a Cloud Environment, INSTICC: Institute for Systems and Technologies of Information, Control and Communication, IoTBDS2025: 10th International Conference on Internet of Things, Big Data and Security

• A Study of Anomaly Communication Detection for IoT Devices using Flow Logs in Cloud Environment, The Institute of Electronics, Information and Communication Engineers, 2025 Symposium on Cryptography and Information Security

• Unsupervised Contextual Anomalous Communication Detection Using VQ Tokenization with Flow Data, KIISC,ETRI (Korea Institute of Information Security and Cryptology, Electronics and Telecommunications Research Institute), WISA 2024 (The 25th World Conference on Information Security Applications)

• Development and Operation of Personal Data Analysis Environment that Allows Appropriate Data Use without Compromising Usability, Information Processing Society of Japan, IPSJ SIG IOT65

• Unsupervised Anomaly Detection using VQ-VAE and Transformer considering Statistics and Sequence of Flow Data, The Japanese Society for Artificial Intelligence, The 38th Annual Conference of the Japanese Society for Artificial Intelligence, 2024

• GNN-based Anomaly Traffic Detection using Continuous Graph Considering Functional Transitions of Flow Data, The Japanese Society for Artificial Intelligence, The 38th Annual Conference of the Japanese Society for Artificial Intelligence, 2024

• Unsupervised Anomaly Detection with Vector Quantization considering Statistics and Sequence of Flow Data, The Institute of Electronics, Information and Communication Engineers, 2024 Symposium on Cryptography and Information Security

• A Graph Construction Method for Anomalous Traffic Detection with Graph Neural Networks Using Sets of Flow Data (Fast Abstract), IEEE, COMPSAC 2023

• New Graph Composition Method based on Sets of Flow Data and its Application to Anomaly Traffic Detection with Graph Neural Networks, The Japanese Society for Artificial Intelligence, The 37th Annual Conference of the Japanese Society for Artificial Intelligence, 2023 (JSAI2023)

• Proxy Re-encryption Scheme for Secure Data Sharing in Cloud Services
  Toshiba Review 66(11), 18-22, 2011-11

• High-Speed Anonymous Authentication Technology to Prevent Dissemination of Personal Data
  Toshiba Review 64(7), 12-15, 2009-07

• Simple and Efficient Group Signature Scheme Assuming Tamperproof Devices
  International Workshop on Security IWSEC 2008: Advances in Information and Computer Security pp 83-99

Others

• PWS Cup 2024, Information Processing Society of Japan, Computer Security Symosium 2024

Commendation/Memberships

• Doctor of Engineering

• Registered Information Security Specialist

• Patents: JP 19 registered, Other(US, GB, FR, DE, CH, KR, SG, VN) 26 registered

External links

LinkedIn

• https://www.linkedin.com/in/takuya-yoshida-00343334/