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Ryotaro Kobayashi
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2020 – today
- 2025
- [j17]Manabu Hirano, Ryotaro Kobayashi:
RanSMAP: Open dataset of Ransomware Storage and Memory Access Patterns for creating deep learning based ransomware detectors. Comput. Secur. 150: 104202 (2025) - 2024
- [i3]Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi:
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis. CoRR abs/2402.14484 (2024) - [i2]Hiroki Sakaji, Ryotaro Kobayashi, Kiyoshi Izumi, Hiroyuki Mitsugi, Wataru Kuramoto:
Summarization of Investment Reports Using Pre-trained Model. CoRR abs/2408.01744 (2024) - 2023
- [j16]Manabu Hirano, Ryotaro Kobayashi:
FIMAR: Fast incremental memory acquisition and restoration system for temporal-dimension forensic analysis. Forensic Sci. Int. Digit. Investig. 46: 301603 (2023) - [j15]Mutsuki Deguchi, Masahiko Katoh, Ryotaro Kobayashi:
Low Resource and Power Consumption and Improved Classification Accuracy for IoT Implementation of a Malware Detection Mechanism using Processor Information. Int. J. Netw. Comput. 13(2): 149-172 (2023) - [j14]Hidenobu Hashikami, Ryotaro Kobayashi, Yu Li, Yoshiki Nakano, Maiko Shigeno:
Safe Route Carpooling to Avoid Accident Locations and Small-Scale Proof of Concept in Japan. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4239-4250 (2023) - [c19]Ryotaro Kobayashi, Yuri Murayama, Kiyoshi Izumi:
Impact Analysis of Social Events on Industries through Narrative Causal Search. IEEE Big Data 2023: 2845-2854 - [c18]Tomohiro Hasegawa, Ryotaro Kobayashi:
Poisoning Attacks against Network Intrusion Detection Systems Using Shapley Values to Identify Trends in Poisoning Data. candar 2023: 127-133 - [c17]Kosuke Higuchi, Ryotaro Kobayashi:
Real-Time Defense System using eBPF for Machine Learning-Based Ransomware Detection Method. CANDARW 2023: 213-219 - [c16]Yutaro Matunaka, Ryotaro Kobayashi, Masahiko Kato:
Verification of IoT Malware Match Rate Using Signatures Created Based on Processor Information. CANDARW 2023: 253-259 - [c15]Taku Sudo, Ryotaro Kobayashi, Masahiko Kato:
Single-Hardware Method to Detect Malicious Communications and Malware on Resource-Constrained IoT Devices. CANDARW 2023: 279-285 - [c14]Hiroki Sakaji, Ryotaro Kobayashi, Kiyoshi Izumi, Hiroyuki Mitsugi, Wataru Kuramoto:
Summarization of Investment Reports Using Pre-trained Model. IIAI-AAI 2023: 554-559 - 2022
- [j13]Manabu Hirano, Ryo Hodota, Ryotaro Kobayashi:
RanSAP: An open dataset of ransomware storage access patterns for training machine learning models. Digit. Investig. 40(Supplement): 301314 (2022) - [j12]Kazuki Koike, Ryotaro Kobayashi, Masahiko Katoh:
IoT-oriented high-efficient anti-malware hardware focusing on time series metadata extractable from inside a processor core. Int. J. Inf. Sec. 21(4): 1-19 (2022) - [j11]Mutsuki Deguchi, Masahiko Katoh, Ryotaro Kobayashi:
Evaluation of implementability in a malware detection mechanism using processor information. Int. J. Netw. Comput. 12(2): 253-269 (2022) - [c13]Manabu Hirano, Ryotaro Kobayashi:
Machine Learning-based Ransomware Detection Using Low-level Memory Access Patterns Obtained From Live-forensic Hypervisor. CSR 2022: 323-330 - [c12]Mutsuki Deguchi, Masahiko Katoh, Ryotaro Kobayashi:
Evaluation of Low-cost Operation of a Malware Detection Mechanism using Processor Information Targeting the IoT. CANDARW 2022: 288-294 - [c11]Hideya Sato, Ryotaro Kobayashi:
Koga2022 Dataset: Comprehensive Dataset with Detailed Classification for Network Intrusion Detection Systems. CANDARW 2022: 351-357 - [c10]Ryotaro Kobayashi, Seiichiro Katsura:
Environmental Modeling for Motion-Copying System Using Element Description Method. IECON 2022: 1-6 - [i1]Manabu Hirano, Ryotaro Kobayashi:
Machine Learning-based Ransomware Detection Using Low-level Memory Access Patterns Obtained From Live-forensic Hypervisor. CoRR abs/2205.13765 (2022) - 2021
- [c9]Ryotaro Kobayashi, Seiichiro Katsura:
Motion-Copying System with Compensation of Environmental Changes for Calligraphy Robot. AMC 2021: 164-169 - [c8]Mutsuki Deguchi, Masahiko Katoh, Ryotaro Kobayashi:
Evaluation of implementability in a malware detection mechanism using processor information. CANDAR (Workshops) 2021: 313-319 - [c7]Hideya Sato, Ryotaro Kobayashi:
A machine learning-based NIDS that collects training data from within the organization and updates the discriminator periodically and automatically. CANDAR (Workshops) 2021: 420-423 - 2020
- [j10]Hayate Takase, Ryotaro Kobayashi, Masahiko Kato, Ren Ohmura:
A prototype implementation and evaluation of the malware detection mechanism for IoT devices using the processor information. Int. J. Inf. Sec. 19(1): 71-81 (2020)
2010 – 2019
- 2019
- [c6]Kazuki Koike, Ryotaro Kobayashi, Masahiko Katoh:
Reduction of Classifier Size and Acceleration of Classification Algorithm in Malware Detection Mechanism Using Processor Information. CANDAR Workshops 2019: 339-345 - [c5]Manabu Hirano, Ryotaro Kobayashi:
Machine Learning Based Ransomware Detection Using Storage Access Patterns Obtained From Live-forensic Hypervisor. IoTSMS 2019: 393-398 - 2018
- [j9]Manabu Hirano, Natsuki Tsuzuki, Seishiro Ikeda, Ryotaro Kobayashi:
LogDrive: a proactive data collection and analysis framework for time-traveling forensic investigation in IaaS cloud environments. J. Cloud Comput. 7: 18 (2018) - 2017
- [j8]Takuro Yoshida, Kento Kawakami, Ryotaro Kobayashi, Masahiko Kato, Masayuki Okada, Hiroyuki Kishimoto:
Detection and Filtering System for DNS Water Torture Attacks Relying Only on Domain Name Information. J. Inf. Process. 25: 854-865 (2017) - [c4]Manabu Hirano, Takuma Tsuzuki, Seishiro Ikeda, Naoga Taka, Kenji Fujiwara, Ryotaro Kobayashi:
WaybackVisor: Hypervisor-Based Scalable Live Forensic Architecture for Timeline Analysis. SpaCCS Workshops 2017: 219-230 - 2016
- [j7]Ryotaro Kobayashi, Ikumi Kaneko, Hajime Shimada:
Improvement of Data Utilization Efficiency for Cache Memory by Compressing Frequent Bit Sequences. IEICE Trans. Electron. 99-C(8): 936-946 (2016) - [j6]Ryotaro Kobayashi, Kaoru Saito, Hajime Shimada:
Energy Reduction of BTB by Focusing on Number of Branches per Cache Line. J. Inf. Process. 24(3): 492-503 (2016) - [j5]Yuya Takeuchi, Takuro Yoshida, Ryotaro Kobayashi, Masahiko Kato, Hiroyuki Kishimoto:
Detection of the DNS Water Torture Attack by Analyzing Features of the Subdomain Name. J. Inf. Process. 24(5): 793-801 (2016) - [j4]Ryotaro Kobayashi, Genki Otani, Takuro Yoshida, Masahiko Kato:
Defense Method of HTTP GET Flood Attack by Adaptively Controlling Server Resources Depending on Different Attack Intensity. J. Inf. Process. 24(5): 802-815 (2016) - 2015
- [j3]Yoshio Shimomura, Hiroki Yamamoto, Hayato Usui, Ryotaro Kobayashi, Hajime Shimada:
BTB Energy Reduction by Focusing on Useless Accesses. IEICE Trans. Electron. 98-C(7): 569-579 (2015) - [j2]Mizuki Watanabe, Ryotaro Kobayashi, Masahiko Kato:
HTTP-GET Flood Prevention Method by Dynamically Controlling Multiple Types of Virtual Machine Resources. J. Inf. Process. 23(5): 655-663 (2015)
2000 – 2009
- 2008
- [c3]Hideki Oshima, Ryotaro Kobayashi, Kazuki Shimura, Toshio Shimada:
Power consumption reduction scheme focusing on the Depth of Speculative Execution. CIT 2008: 207-212 - 2006
- [j1]Akio Nakajima, Ryotaro Kobayashi, Hideki Ando, Toshio Shimada:
Limits of Thread-Level Parallelism in Non-numerical Programs. Inf. Media Technol. 1(2): 851-859 (2006) - 2002
- [c2]Ryo Fujioka, Kiyokazu Katayama, Ryotaro Kobayashi, Hideki Ando, Toshio Shimada:
A preactivating mechanism for a VT-CMOS cache using address prediction. ISLPED 2002: 247-250
1990 – 1999
- 1999
- [c1]Ryotaro Kobayashi, Yukihiro Ogawa, Hideki Ando, Toshio Shimada, Mitsuaki Iwata:
An On-Chip Multiprocessor Architecture with a Non-Blocking Synchronization Mechanism. EUROMICRO 1999: 1432-1440
Coauthor Index
aka: Masahiko Katoh
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