KEIO RESEARCHERS INFORMATION SYSTEM

Books 【 Display / hide 】

Books 【 Display / hide 】

• Intrusion Signatures and Analysis

  TAKEDA Keiji, 2001

• Network Intrusion Detection

  TAKEDA Keiji, 2000

• Java Programming Handbook

  TAKEDA Keiji, 1998

• Java Programming Handbook 2

  TAKEDA Keiji, 1997

Papers 【 Display / hide 】

Papers 【 Display / hide 】

• Unmanned aerial vehicles as a useful tool for investigating animal movements

  Iwamoto M., Nogami S., Ichinose T., Takeda K.

  Methods in Ecology and Evolution 13 ( 5 ) 969 - 975 2022.05

  　View Summary

  Determining animal abundance is crucial for assessing the effectiveness of management measures against pest animals. Meanwhile, investigating animal movements has become important for conducting abundance estimations of unmarked animals since the random encounter model (REM) was published. REM is a camera trapping method that derives animal density by using contact ratio between camera traps and targeted animals that randomly move at a certain speed in a given area. However, it requires an independent value, which is animal speed. For investigating animal speed, camera traps with video recording and GPS tagging are the commonly used tools. Unmanned aerial vehicles (UAVs) are currently used in wildlife monitoring to investigate the abundance of target species. It is evaluated as a tool that is non-invasive and suitable for surveys in inaccessible landscapes. Considering these characteristics, we regarded a distant survey using this technology as suitable for investigating animal movements. Therefore, we proposed a method for estimating animal movements using UAVs and conducted a case study that aimed to investigate wild boars' movements. We collected 11 video samples that successfully followed the movements of wild boars from 26 UAV flights in total, and the average speed of their movements derived from all the samples was 1.54 km/24 hr. We found that issues can be improved, including species identification, video sample length, and animal behaviours or activity patterns. On the other hand, our method showed potential for applying to species with specific characteristics in their body size, shape or activity patterns. With improvements in the issues mentioned above, UAVs would become an alternative tool for investigating animal movements.

  • Access to Document (DOI)

• Encrypted Malicious Traffic Detection Based on Word2Vec

  Ferriyan A., Thamrin A.H., Takeda K., Murai J.

  Electronics Switzerland 11 ( 5 )  2022.03

  　View Summary

  Network-based intrusion detections become more difficult as Internet traffic is mostly en-crypted. This paper introduces a method to detect encrypted malicious traffic based on the Transport Layer Security handshake and payload features without waiting for the traffic session to finish while preserving privacy. Our method, called TLS2Vec, creates words from the extracted features and uses Long Short-Term Memory (LSTM) for inference. We evaluated our method using traffic from three malicious applications and a benign application that we obtained from two publicly available datasets. Our results showed that TLS2Vec is promising as a tool to detect such malicious traffic.

  • Access to Document (DOI)

• Generating network intrusion detection dataset based on real and encrypted synthetic attack traffic

  Ferriyan A., Thamrin A.H., Takeda K., Murai J.

  Applied Sciences Switzerland 11 ( 17 )  2021.09

  　View Summary

  The lack of publicly available up-to-date datasets contributes to the difficulty in evaluating intrusion detection systems. This paper introduces HIKARI-2021, a dataset that contains encrypted synthetic attacks and benign traffic. This dataset conforms to two requirements: the content require-ments, which focus on the produced dataset, and the process requirements, which focus on how the dataset is built. We compile these requirements to enable future dataset developments and we make the HIKARI-2021 dataset, along with the procedures to build it, available for the public.

  • Access to Document (DOI)

• ネットワーク通信情報の収集によるユーザ追跡

  UEHARA Yuki, MIZUTANI Masayoshi, TAKEDA Keiji, MURAI Jun

  Information Processing Society of Japan Special Transaction 53 ( 2 ) 461 - 473 2012.02

  Research paper (scientific journal), Single Work, Accepted

• 情報空間における国際紛争と非対称性

  TAKEDA Keiji

  Journal of World Afairs 59 ( 6 ) 30-39 2011.06

  Research paper (scientific journal), Single Work

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Presentations 【 Display / hide 】

Presentations 【 Display / hide 】

• Flash cookieの利用実態に関する調査

  TAKEDA Keiji

  [Domestic presentation]  Computer Security Symposium 2010 (岡山) , 

  2010.10

  , 

  Oral presentation (general)

• 災害対策用クラウドコンピューティング環境構築における情報セキュリティの検討

  TAKEDA Keiji

  [Domestic presentation]  Computer Security Symposium 2010 (岡山) , 

  2010.10

  , 

  Oral presentation (general)

• 電子メールヘッダの特徴情報を用いた標的型攻撃の検知

  梅田昂翔，上原雄貴，水谷正慶，武田圭史

  [Domestic presentation]  Computer Security Symposium 2010 (岡山) , 

  2010.10

  , 

  Oral presentation (general)

• WindowsOS上での不正なファイルアクセスの検知・無効化処理における負荷低減手法

  TAKEDA Keiji

  [Domestic presentation]  Computer Security Symposium 2010 (岡山) , 

  2010.10

  , 

  Oral presentation (general)

• セキュリティ意識向上のためのネットワーク通信視覚化ゲームの設計と実装

  TAKEDA Keiji

  [Domestic presentation]  Computer Security Symposium 2010 (岡山) , 

  2010.10

  , 

  Oral presentation (general)

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Courses Taught 【 Display / hide 】

Courses Taught 【 Display / hide 】

• INFORMATION SECURITY -THEORY AND PRACTICE-

  2026

• SEMINAR A

  2026

• MASTER SEMINAR

  2026

• SPECIAL RESEARCH PROJECT A

  2026

• GRADUATION PROJECT 2

  2026

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