Faculty Profiles - ARAKI Shunsuke

Papers - ARAKI Shunsuke

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Lightweight Feature Bridging for on-Device Cross-Domain Intrusion Detection in IoT Environments Reviewed

Jedidah M Mwaura, Shunsuke Araki, Sardar Muhammad Shamim, Samsul Huda, Yasuyuki Nogami

Proc. of IEEE 44nd International Conference on Consumer Electronics 2026.02

Silver Nano particles device based lightweight cryptographic system toward IoT edge security Reviewed

Hiroki Tabata,Yuma Yamashita,Yusuke Nakaoka,Oradee Srikimkaew,Yuki Usami,Shunsuke Araki,Hirofumi Tanaka

Proc. on the 11th International Workshop on Signal Design and its Applications in Communications(IWSDA'25) 2025.12

A study on extract bits of pseudorandom sequences generated by Me operation on the elliptic curve Reviewed

Renta Yamauchi, Natsuo Hayashi, Takeru Miyazaki, Shunsuke Araki, Satoshi Uehara

Proc. on the 11th International Workshop on Signal Design and its Applications in Communications(IWSDA'25) 2025.12

A Study on Integerization of 4-Dimensional Lorenz-Stenflo System for A Key Sharing Method Reviewed

Keishi Kanzaki, Kohei Takaichi, Jun-Juh Yan, Takeru Miyazaki, Satoshi Uehara, Shunsuke Araki

Proc. on the 11th International Workshop on Signal Design and its Applications in Communications(IWSDA'25) 2025.12

Performance Evaluation of Fractal Image Compression on Bit-Depth Control and GPU Parallelization Reviewed

Takashi Sakai,Natsuo Hayashi,Shunsuke Araki,Takeru Miyazaki,Teiga Kuwahara,Satoshi Uehara

Proc. of 2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 2025.07

A Study on Integerization of the 4-Dimensional Lorenz-Stenflo System Used by the Dynamic Random Key Sharing Reviewed

Kohei Takaichi, Shunsuke Araki, Jun-Juh Yan, Takeru Miyazaki, Satoshi Uehara

Proc. of 2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 2025.07

A Pseudorandom Number Generator by Maze Method without Outer-Walls Reviewed

Takeru Miyazaki,Shunsuke Araki,Satoshi Uehara

Proc. of 2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 2025.07

A Proposal of Veriﬁcation for Multiple BBS+ Signatures to Reduce Computational Costs Reviewed

Satoshi Yoshida,Shunsuke Araki

Proc. of 2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 2025.07

A Study of Why Weave Filters in CAPTCHA Prevent AI's Object Detection Reviewed

Natsuo Hayashi,Takeru Miyazaki,Shunsuke Araki,Satoshi Uehara

Proc. of 2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 2025.07

Research on Initial Values and Lyapunov Exponents in Logistic Maps over Integers Reviewed

Hana Honda,Shunsuke Araki,Takeru Miyazaki,Satoshi Uehara

Proc. of 2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 2025.07

Design of Image Cryptosystems Using Dynamic Synchronized Random Keys Based on Chaotic Extremum Coding Reviewed International journal

Lin C.H., Hu G.H., Araki S., Mu H.L., Yan J.J.

Sensors and Materials 37 ( 7 ) 2831 - 2850 2025.04

A Study on Transfer Learning TinyML-Based Intrusion Detection Framework on IoT Devices Reviewed International journal

J. Mwaura, S. Araki, M. B. Musthafa, S. Huda, Y. Nogami

Proc. of 2025 the 43rd IEEE International Conference on Consumer Electronics 2025.01

Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

United States of America Las Vegas 2025.01.11 - 2025.01.14

DOI： 10.1109/ICCE63647.2025.10929917

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105006584802&origin=inward

Evaluating Instructor Role in a Personal Software Process Improvement Course Based on the Process Data Reviewed International journal

Kusakabe Shigeru, Umeda Masanobu, Katamine Keiichi, Araki Shunsuke

IIAI Letters on Informatics and Interdisciplinary Research ( International Institute of Applied Informatics ) 6 1 2025.01

Synchronization of Chaotic Extremum-Coded Random Number Generators and Its Application to Segmented Image Encryption Reviewed International journal

Araki S., Wu J.H(National Chin-Yi University of Technology)., Yan J.J.(National Chin-Yi University of Technology)

Mathematics 12 ( 19 ) 2024.10

A Deployment of Ensemble-Based IDS on Raspberry Pi Reviewed International journal

Musthafa M.B., Huda S., Shamim S.M., Kodera Y., Mwaura J., Araki S., Nogami Y.

GCCE 2024 - 2024 IEEE 13th Global Conference on Consumer Electronics 184 - 185 2024.10

Relation between Recognition Accuracy and Object's Occupancy in CAPTCHA Image Using Weave Filters Reviewed International journal

Hayashi N., Miyazaki T., Araki S., Uehara S.

11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024 401 - 402 2024.07

Optimizing IoT Intrusion Detection Using Balanced Class Distribution, Feature Selection, and Ensemble Machine Learning Techniques Reviewed International journal

Musthafa M.B., Huda S., Kodera Y., Ali M.A., Araki S., Mwaura J., Nogami Y.

Sensors 24 ( 13 ) 2024.07

A Study on a New Pseudorandom Number Generator with Deterministic Maze Construction Reviewed International journal

Miyazaki T., Araki S., Uehara S.

11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024 393 - 394 2024.07

A Novel Design of Random Number Generators Using Chaos-Based Extremum Coding Reviewed

Shunsuke Araki, Ji-Han Wu, Jun-Juh Yan(National Chin-Yi University of Technology)

IEEE Access ( IEEE ) 12 24039 - 24047 2024.02

Language：English Publishing type：Research paper (scientific journal)

This paper proposes a new chaos-based extremum coding method to realize a true random number generator (RNG). Based on the chain rule, we innovatively introduce two parameters into the dynamics of chaotic systems to modulate the speed and amplitude of state responses. Then, by discretizing the continuous modulated chaotic system, the corresponding discrete chaotic system can be obtained, which allows the use of low-cost micro-controllers for implementation, enhancing system stability, and reducing costs. Also, a novel chaos-based extremum coding approach is proposed for generating a random extremum-coded sequence (RECS). Using this RECS to switch and decide modulation parameters significantly improves the randomness of the sequences generated by the RNGs. To highlight the contribution of this RNG design, the randomness and security of the RNGs are evaluated by statistical tests such as NIST, Diehard, and ENT. Through comparisons with recent published works, the results show that the proposed chaotic extremum-coded RNG can demonstrate superior performance with a higher level of randomness.

DOI： 10.1109/ACCESS.2024.3365638

A Study on DDoS Attacks Detection on IoT Devices Using Machine Learning for Microcontrollers Reviewed International journal

Jedidah M Mwaura,Shunsuke Araki,Ken'ichi Kakizaki

Proc. of IEEE 42nd International Conference on Consumer Electronics 1 - 4 2024.01

Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

USA Las Vegas 2024.01.05 - 2024.01.08

In recent years, there has been a proliferation of Internet of Things (IoT) devices, and so has been the attacks on them. In this paper we will propose a methodology to detect Distributed Denial of Service (DDoS) attacks on IoT devices using Machine Learning for Microcontrollers or TinyML. We will discuss a model which we made for Arduino Nano 33 BLE Sense using Machine Learning for Microcontrollers or TinyML. Additionally, we will discuss results of our proposal in detecting DDoS attacks on IoT devices. Lastly, we will describe the feasibility of our model on IoT devices.

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