研究者詳細 - 小林　諭

論文 - 小林　諭

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Investigation Towards Detecting Landing Websites for Fake Japanese Shopping Websites 査読

Daigo Michishita, Satoru Kobayashi, Toshihiro Yamauchi

The 13-th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2025), Lecture Notes on Data Engineering and Communications Technologies 107 - 119 2025年4月

Verifying Network-level Properties for Large-scale Networks with Header Transformations in Realtime 査読

Ryusei Shiiba, Satoru Kobayashi, Osamu Akashi, Hiroki Shirokura, Kensuke Fukuda

Journal of Information Processing 33 41 - 54 2025年2月

Effectiveness of MAC Systems based on LSM and their Security Policy Configuration for Protecting IoT Devices 査読

Masato Miki, Toshihiro Yamauchi, Satoru Kobayashi

Journal of Internet Services and Information Security 14 ( 3 ) 293 - 315 2024年8月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：SASA Publications

The number of attacks exploiting Internet of Things (IoT) devices has been increasing with the emergence of IoT malware targeting IoT devices. The use of IoT devices in a wide variety of situations has resulted in an urgent need to improve the security of the IoT devices themselves. However, the IoT devices themselves have low hardware performance and their operating systems and applications are not frequently updated, leaving many devices vulnerable to IoT malware attacks. Mandatory Access Control (MAC) systems based on Linux Security Modules (LSM), such as SELinux and AppArmor, can mitigate the impact of these attacks, even if software vulnerabilities are discovered and exploited. However, most IoT devices do not currently employ these systems. While existing approaches have examined on-board resources as one factor affecting the applicability of MAC systems, they are insufficient to address all relevant factors. In this paper, we report the factors that may prevent the deployment of LSM-based secure OS in IoT devices and the results of our evaluation of the effectiveness of LSM-based secure OS against IoT malware attacks. First, we comprehensively investigated the impact of each factor of IoT devices on the deployment of LSM-based secure OS. To improve the comprehensiveness of the factors affecting the deployment, we investigated the kernel version, CPU architecture, and BusyBox support. Next, we conducted an attack experiment that simulated the attack method of Mirai, a typical IoT malware, to investigate whether it is possible to protect against IoT malware. We also showed how to modify the security policy, and the cost of modifying it, for secure OSs that cannot prevent attacks from IoT malware with the default security policy. Finally, we report the results of our investigation into the impact of these factors in combination.

DOI： 10.58346/jisis.2024.i3.018

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Exploring the Discovery Process of Fresh IPv6 Prefixes: An Analysis of Scanning Behavior in Darknet and Honeynet 査読

Liang Zhao, Satoru Kobayashi, Kensuke Fukuda

Passive and Active Measurement Conference (PAM 2024), Lecture Notes in Computer Science (LNCS) 14537 95 - 111 2024年3月

netroub: Towards an Emulation Platform for Network Trouble Scenarios 査読国際共著

Colin Regal-Mezin, Satoru Kobayashi, Toshihiro Yamauchi

Proceedings of the CoNEXT Student Workshop 2023 17 - 18 2023年12月

Analyzing Post-injection Attacker Activities in IoT Devices: A Comprehensive Log Analysis Approach 査読国際共著

Hervet Victor, Satoru Kobayashi, Toshihiro Yamauchi

Proceedings of the 2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW) 292 - 297 2023年11月

Evaluation of Effectiveness of MAC Systems Based on LSM for Protecting IoT Devices 査読

Masato Miki, Toshihiro Yamauchi, Satoru Kobayashi

Proceedings of the 11th International Symposium on Computing and Networking (CANDAR 2023) 161 - 167 2023年11月

dot2net: A labeled graph approach for template-based configuration of emulation networks 査読

Satoru Kobayashi, Ryusei Shiiba, Ryosuke Miura, Shinsuke Miwa, Toshiyuki Miyachi, Kensuke Fukuda

Proceedings of the 19th International Conference on Network and Service Management (CNSM 2023) 342 - 350 2023年11月

An Implementation of Effective Server Resource Management Scheme Using Deep Reinforcement Learning 査読

Toshiki Kawakita, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi

Proceedings of the International Conference on Emerging Technologies for Communications ( S8-5 ) 1 - 1 2022年11月

A Novel Network Configuration Generation Scheme from Network Operator's Intent Described by Natural Language 査読

Masaya Suzuki, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi

Proceedings of the International Conference on Emerging Technologies for Communications ( S2-1 ) 1 - 1 2022年11月

Comparative Causal Analysis of Network Log Data in Two Large ISPs 査読

Satoru Kobayashi, Keiichi Shima, Kenjiro Cho, Osamu Akashi, Kensuke Fukuda

Proceedings of the 7th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2022) 2022年4月

amulog: A general log analysis framework for comparison and combination of diverse template generation methods 査読国際誌

Satoru Kobayashi, Yuya Yamashiro, Kazuki Otomo, Kensuke Fukuda

International Journal of Network Management 32 ( 4 ) 2021年12月

A Scheme of Extracting Network Configuration Template Blocks Based on Tucker Decomposition 査読

Daisuke Hanamitsu, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi

Proceedings of the International Conference on Emerging Technologies for Communications ( P1-14 ) 1 - 1 2021年12月

Verifying Network Properties in SRv6 based Service Function Chaining 査読

Ryusei Shiiba, Satoru Kobayashi, Osamu Akashi, Kensuke Fukuda

Proceesings of the 16th Asian Internet Engineering Conference (AINTEC 2021) 18 - 26 2021年12月

Towards Extracting Semantics of Network Config Blocks 査読

Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi, Kimihiro Mizutani, Hiroshi Esaki

Proceesings of the 9th IEEE International Workshop on Architecture, Design, Deployment & Management of Networks & Applications (ADMNET 2021) 1438 - 1443 2021年7月

A Quantitative Causal Analysis for Network Log Data 査読国際共著

Richard Jarry, Satoru Kobayashi, Kensuke Fukuda

Proceedings of the 9th IEEE International Workshop on Architecture, Design, Deployment & Management of Networks & Applications (ADMNET 2021) 1444 - 1449 2021年7月

LogDTL: Network Log Template Generation with Deep Transfer Learning 査読国際共著

Thieu Nguyen, Satoru Kobayashi, Kensuke Fukuda

Proceedings of the 6th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2021) 848 - 853 2021年5月

Latent Semantics Approach for Network Log Analysis: Modeling and its application 査読

Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management (IM 2021) 215 - 223 2021年5月

amulog: A General Log Analysis Framework for Diverse Template Generation Methods 査読

Satoru Kobayashi, Yuya Yamashiro, Kazuki Otomo, Kensuke Fukuda

Proceedings of the CNSM 2020 2020年11月

大規模 IPv6 アドレスの収集・分析査読

新津雄大, 小林諭, 福田健介, 江崎浩

電子情報通信学会論文誌 J103-B ( 6 ) 223 - 233 2020年6月

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