Faculty Profiles - FUKUDA Yutaka

Papers - FUKUDA Yutaka

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Characterizing the basic performance of IEEE 802.11ax using actual hardware measurements Reviewed International journal

Fukuda Y., Hatase T., Satoh A., Nakamura Y., Wada S.

Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022 2022.06

A Comparative Evaluation of Vulnerability Scanners in Campus Networks Reviewed

Satoh Akihiro, Fukuda Yutaka, Nakamura Yutaka

Journal for Academic Computing and Networking ( Academic eXcange for Information Environment and Strategy ) 28 ( 1 ) 213 - 217 2024.11

A Practical Approach of Access Points Installation for Campus WiFi Expansion under the Pandemic Reviewed

Yutaka Fukuda, Yutaka Nakamura, Akihiro Satoh, Sujiro Wada

( IPSJ ) 5 ( 3 ) 1 - 10 2024.07

Authorship：Lead author,　Corresponding author Language：Japanese Publishing type：Research paper (scientific journal)

Kyushu Institute of Technology deployed approximately 100 wireless LAN APs (Access Points) at the end of Fiscal Year 2022, while the availability of network equipment was significantly reduced due to COVID-19. In this paper, we describe the selection and field survey of AP installation sites, the determination of installation sites based on the field survey, the arrangement of APs and PoE switches, and a practical approach for access points installation.

Kyutacar

Other Link： http://id.nii.ac.jp/1001/00237220/

A Management System for Institute-Public IP Addresses Reviewed

Satoh Akihiro, Toda Tetsuya, Wada Sujiro, Fukuda Yutaka, Nakamura Yutaka

Journal for Academic Computing and Networking ( Academic eXcange for Information Environment and Strategy ) 27 ( 1 ) 167 - 173 2023.11

Deployment of Large Scaled Sensor Data Aggregation System Utilized Public Cloud Infrastructure Reviewed

Hayashi Toyohiro, Tomishige Hideki, Fukuda Yutaka

Journal for Academic Computing and Networking ( Academic eXcange for Information Environment and Strategy ) 26 ( 1 ) 20 - 31 2022.12

Verification of the Improvement Measures Designed from the Wireless LAN Survey Reviewed

Yutaka Fukuda, Yutaka Nakamura, Akihiro Satoh, Sujiro Wada, Yoshihito Iwasaki

( IPSJ ) 3 ( 3 ) 1 - 9 2022.07

無線LAN利用状況調査に基づいて策定した改善策の検証 Reviewed

Fukuda Yutaka

情報処理学会デジタルプラクティス 3 1 - 9 2022.01

An Approach for Identifying Malicious Domain Names Automatically Generated by DGA Malware Reviewed

Akihiro Satoh, Toyohiro Hayashi, Sujiro, Wada, Yutaka Fukuda

( IPSJ ) 62 ( 5 ) 1341 - 1349 2021.05

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal)

Some of the most serious security threats facing computer networks involve malware. Many types of malware have DGAs (Domain Generation Algorithms) to avoid detection. A DGA is a mechanism for hiding the callback communications of malware by frequently changing the domain name of a C&C (Command-and-Control Server). In this paper, we attempt to detect the callback communications of DGA malware by superficially analyzing domain names. Our approach distinguishes between benign and malicious domains based on the meaning of their character string and does not require any prior knowledge about the DGAs. Our evaluation indicates high performance, with a recall of 0.9960 and a precision of 0.9029. By enabling one to swiftly address various malware, our approach contributes to dramatically improving network security.

DOI： 10.20729/00211107

Kyutacar

An Approach for Identifying Malicious Domain Names Generated by Dictionary-Based DGA Bots Reviewed

A. Satoh, Y. Nakamura, Y. Fukuda, D. Nobayashi, T. Ikenaga

IEICE TRANSACTIONS on Information and Systems ( IEICE ) E104-D ( 5 ) 669 - 672 2021.05

Authorship：Last author,　Corresponding author Language：English Publishing type：Research paper (scientific journal)

<p>Computer networks are facing serious threats from the emergence of sophisticated new DGA bots. These DGA bots have their own dictionary, from which they concatenate words to dynamically generate domain names that are difficult to distinguish from human-generated domain names. In this letter, we propose an approach for identifying the callback communications of DGA bots based on relations among the words that constitute the character string of each domain name. Our evaluation indicates high performance, with a recall of 0.9977 and a precision of 0.9869.</p>

DOI： 10.1587/transinf.2020NTL0001

Scopus

CiNii Article

CiNii Research

Other Link： https://www.jstage.jst.go.jp/article/transinf/E104.D/5/E104.D_2020NTL0001/_article/-char/en

A Word-Level Analytical Approach for Identifying Malicious Domain Names Caused by Dictionary-Based DGA Malware Reviewed International journal

A. Satoh, Y. Fukuda, G. Kitagata, Y. Nakamura

Electronics 10 ( 9 ) 2021.04

辞書に基づくDGAマルウェアに起因した悪性ドメインの判別 Reviewed

佐藤彰洋, 福田豊, 井上純一, 中村豊

情報処理学会論文誌 ( 情報処理学会 ) 62 ( 3 ) 829 - 837 2021.03

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal)

高度なDGAマルウェアの出現により，コンピュータネットワークは深刻な脅威に直面している．このDGAマルウェアは，それ自体が有する辞書の単語を連結することで，人為的に生成したものと判別が困難な悪性ドメインを機械的に生成する．本稿では，ドメインの文字列を構成する単語間の関係性を考慮することで，辞書に基づくDGAマルウェアにより生成された悪性ドメインの判別を試みる．また実験を通じて，提案手法が0.9977の再現率と0.9869の適合率で悪性ドメインを判別可能であることを確認した．この結果から，ネットワークに内在する多様なマルウェアへの迅速な対処が可能となるため，ネットワークの運用において安全性の向上が期待できる．

DOI： 10.20729/00210246

Kyutacar

A Congestion Display System Using the Information of Wireless LAN Connection and Its Improvement Reviewed

Hideki Tomishige, Junichi Inoue, Takuji Hatase, Sujiro Wada, Toyohiro Hayashi, Yutaka Fukuda

Journal for Academic Computing and Networking ( National university corporation of Information Processing Center Council ) 25 ( 1 ) 1 - 8 2021.01

Office365を用いたメールサービスに対するセキュリティ向上対策 - ログ監視，認証基盤の強化 - Reviewed

林豊洋, 福田豊, 佐藤彰洋, 大橋健

学術情報処理研究 24 ( 1 ) 104 - 115 2020.12

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal)

九州工業大学では2012年度より，卒業後も継続して利用可能な全学メールサービスの提供を開始した．メールサービスの稼働基盤には，2015年度よりMicrosoft社のSaaSであるOffice365およびMicrosoft365(以降365とも称する)を活用している．本サービスには，2020年7月現在で約21,800アカウントが存在し，在学生・在職者に加え本学の卒業生が含まれている．このような多様な利用者層が，電子メールに加えネットワークストレージやグループウェア機能を利用しているため，不正アクセスによるアカウント詐取の対象になっていた．本学では，365に対するセキュリティ向上対策として，ログ監視体制の強化と認証基盤の強化を検討・運用を行っている．具体的には，365へのサインイン情報，メール送受信ログ等を学内のログ収集基盤へ集約する手法を確立した．また，サインイン時の認証強化については，365が有する多数の実現手法の中から，実現容易性やライセンスの観点から比較検討を行い，利用者層に応じた手法を採用した．本稿ではこれらの詳細について報告する．

DOI： 10.24669/jacn.24.1_104

Kyutacar

Other Link： https://www.jstage.jst.go.jp/article/jacn/24/1/24_JACN24-1-12/_article/-char/ja/

A Superficial Analysis Approach for Identifying Malicious Domain Names Generated by DGA Malware Reviewed International journal

A. Satoh, Y. Fukuda, Y. Nakamura, T. Hayashi, G. Kitagata

IEEE Open Journal of the Communications Society ( IEEE ) 1 1837 - 1849 2020.11

Authorship：Last author,　Corresponding author Language：English Publishing type：Research paper (scientific journal)

Some of the most serious security threats facing computer networks involve malware. To prevent malware-related damage, administrators must swiftly identify and remove the infected machines that may reside in their networks. However, many malware families have domain generation algorithms (DGAs) to avoid detection. A DGA is a technique in which the domain name is changed frequently to hide the callback communication from the infected machine to the command-and-control server. In this article, we propose an approach for estimating the randomness of domain names by superficially analyzing their character strings. This approach is based on the following observations: human-generated benign domain names tend to reflect the intent of their domain registrants, such as an organization, product, or content. In contrast, dynamically generated malicious domain names consist of meaningless character strings because conflicts with already registered domain names must be avoided; hence, there are discernible differences in the strings of dynamically generated and human-generated domain names. Notably, our approach does not require any prior knowledge about DGAs. Our evaluation indicates that the proposed approach is capable of achieving recall and precision as high as 0.9960 and 0.9029, respectively, when used with labeled datasets. Additionally, this approach has proven to be highly effective for datasets collected via a campus network. Thus, these results suggest that malware-infected machines can be swiftly identified and removed from networks using DNS queries for detected malicious domains as triggers.

DOI： 10.1109/OJCOMS.2020.3038704

Kyutacar

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122048053&origin=inward

Practicality Verification of an Application Virtualization System Assuming Use of BYOD Environment Reviewed International journal

Toyohiro Hayashi, Yutaka Fukuda, Akihiro Satoh, Kyoko Kai, Noriyuki Kushiro

Open Journal of Social Sciences 8 ( 3 ) 482 - 492 2020.08

九州工業大学全学ネットワークの更新に向けた無線LAN利用動向調査 Reviewed

福田豊, 中村豊, 佐藤彰洋, 和田数字郎

情報処理学会デジタルプラクティス ( 情報処理学会 ) 11 ( 3 ) 636 - 656 2020.07

Authorship：Lead author Language：Japanese Publishing type：Research paper (scientific journal)

本学では2014年9月に全学ネットワークの更新を行い，IEEE 802.11acに対応した機材の導入を行った．導入直後のAP（Access Point）数は253台であったが，建屋改修時や他部局リプレース時に講義室等を中心に増設し，2019年度までに368台となった．しかしこの5年間で無線LANの運用環境は大きく変化しており，次の更新に向けて無線LAN環境の増強策を検討するためには，既存無線LANの利用動向調査が必要である．そこで本稿では2014年9月から2018年度末までの無線LAN利用動向について調査し，更新に向けた知見を得たので報告する．

Kyutacar

Other Link： http://id.nii.ac.jp/1001/00206170/

学外公開アドレス管理システムの設計と評価 Reviewed

佐藤彰洋, 福田豊, 和田数字郎, 中村豊

情報処理学会デジタルプラクティス ( 情報処理学会 ) 11 ( 3 ) 624 - 635 2020.07

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal)

国立大学法人において，サイバー攻撃によるセキュリティインシデントが多発している．その攻撃に抗するため，我々が属す九州工業大学情報基盤運用室では学外公開アドレス管理システムを構築した．本システムの特徴は，学外公開，すなわち学外から到達可能なIPアドレスを付与した機器に関する情報共有と，それに対する措置として脆弱性改善と通信制御を実現したことにある．その導入により，本学のネットワークにおいて高い堅牢性の実現を確認した．本稿では，学外公開アドレス管理システムの設計と，12カ月にわたるシステムの運用による有効性の評価，そこから得られた知見について報告する．

Kyutacar

Other Link： http://id.nii.ac.jp/1001/00206169/

A Cause-Based Classification Approach for Malicious DNS Queries Detected Through Blacklists Reviewed International journal

A. Satoh, Y. Nakamura, Y. Fukuda, K. Sasai, G. Kitagata

IEEE Access ( IEEE ) 7 142991 - 143001 2019.09

Authorship：Last author,　Corresponding author Language：English Publishing type：Research paper (scientific journal)

Some of the most serious security threats facing computer networks involve malware. To prevent this threat, administrators need to swiftly remove the infected machines from their networks. One common way to detect infected machines in a network is by monitoring communications based on blacklists. However, detection using this method has the following two problems: no blacklist is completely reliable, and blacklists do not provide sufficient evidence to allow administrators to determine the validity and accuracy of the detection results. Therefore, simply matching communications with blacklist entries is insufficient, and administrators should pursue their detection causes by investigating the communications themselves. In this paper, we propose an approach for classifying malicious DNS queries detected through blacklists by their causes. This approach is motivated by the following observation: a malware communication is divided into several transactions, each of which generates queries related to the malware; thus, surrounding queries that occur before and after a malicious query detected through blacklists help in estimating the cause of the malicious query. Our cause-based classification drastically reduces the number of malicious queries to be investigated because the investigation scope is limited to only representative queries in the classification results. In experiments, we have confirmed that our approach could group 388 malicious queries into 3 clusters, each consisting of queries with a common cause. These results indicate that administrators can briefly pursue all the causes by investigating only representative queries of each cluster, and thereby swiftly address the problem of infected machines in the network.

DOI： 10.1109/ACCESS.2019.2944203

Kyutacar

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85077740083&origin=inward

WiFi Communication Experiments Considering BYOD in the Campus Reviewed

Yutaka Fukuda, Takuji Hatase, Hideki Tomishige, Toyohiro Hayashi

Trans.IPS.Japan 60 ( 3 ) 758 - 767 2019.03

A Dynamic Channel Switching for ROD-SAN Reviewed

NOBAYASHI Daiki, FUKUDA Yutaka, TSUKAMOTO Kazuya, IKENAGA Takeshi

IEICE Transactions on Information and Systems ( The Institute of Electronics, Information and Communication Engineers ) 102 ( 5 ) 920 - 931 2019.01

Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal)

<p>Wireless sensor and actuator networks (WSANs) are expected to become key technologies supporting machine-to-machine (M2M) communication in the Internet of things (IoT) era. However, sensors must be able to provide high demand response (DR) levels despite severely limited battery power. Therefore, as part of efforts to achieve a high DR, we are working on research and development related to radio-on-demand sensor and actuator networks (ROD-SANs). ROD-SAN nodes are equipped with wake-up receivers that allow all nodes to stay in sleep mode for a long period of time, and transmit only after the receiver receives a wake-up signal. In addition, sender nodes can direct the receiver nodes to switch communication channels because the wake-up signal also includes information on the channel to use for communication between each other. However, as the number of nodes utilizing the same channel increases, frequent packet collisions occur, thereby degrading response performance. To reduce packet collisions, we propose an own-channel-utilization based channel switching (OCS) scheme, which is a modification of the average-channel-utilization based switching (ACS) as our previous works. The OCS scheme decides whether or not to switch channels based on a probability value that considers not only average-channel utilization of nearby nodes but also own-channel utilization. This approach permits node switching to other channels by considering the overall utilization states of all channels. In this paper, based on simulations, we show that our scheme can improve the delivery ratio by approximately 15% rather than ACS scheme.</p>

DOI： 10.1587/transinf.2018NTP0007

Scopus

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007641123

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Papers - FUKUDA Yutaka