D. Inoue

发表

An Analysis of Attack Targets Observed by DRDoS Honeypots

Tsutomu Matsumoto, D. Makita, Tomomi Nishizoe, 2015 .

Rivulet: An Anonymous Communication Method Based on Group Communication

Tsutomu Matsumoto, D. Inoue, 2002, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Toward Automated Smart Ships: Designing Effective Cyber Risk Management

Takeshi Takahashi, D. Inoue, K. Nakao, 2020, 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics).

Tracing and Analyzing Web Access Paths Based on User-Side Data Collection: How Do Users Reach Malicious URLs?

Giovanni Vigna, Takeshi Takahashi, Katsunari Yoshioka, 2020, RAID.

SDE-Driven Service Provision Control

Gang Chen, Shaoning Pang, Abdolhossein Sarrafzadeh, 2012, ICONIP.

D-19-2 Analysis of malignant communication by dynamic analysis of Android malware

Takayuki Suzuki, Noriharu Miyaho, Daisuke Inoue, 2015 .

Anonymity Achieved by Group Communication

Tsutomu Matsumoto, Daisuke Inoue, Tsutomu Matsumoto, 2000 .

Towards Cost-Effective P2P Traffic Classification in Cloud Environment

Shanqing Guo, Tao Ban, Koji Nakao, 2012, IEICE Trans. Inf. Syst..

A Machine Learning Approach to Detection of Critical Alerts from Imbalanced Multi-Appliance Threat Alert Logs

Tao Ban, Takeshi Takahashi, D. Inoue, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Internet Service Providers' and Individuals' Attitudes, Barriers, and Incentives to Secure IoT

Nissy Sombatruang, T. Caulfield, Ingolf Becker, 2022, ArXiv.

Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns

D. Inoue, Chansu Han, Jun’ichi Takeuchi, 2022, IEEE Access.

Catching the Behavioral Differences between Multiple Executions for Malware Detection

Tsutomu Matsumoto, Daisuke Inoue, Katsunari Yoshioka, 2013, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Analysis of Cyber-attack Infrastructure with Malicious Website focused on Backdoor Shell

Tsutomu Matsumoto, Daisuke Inoue, Katsunari Yoshioka, 2014 .

Constructions for Conditional Oblivious / Converge Transfer / Cast

Keisuke Tanaka, D. Inoue, 2007 .

A Lightweight Host-Based Intrusion Detection Based on Process Generation Patterns

Kenjiro Terada, Koji Nakao, Daisuke Inoue, 2018, 2018 13th Asia Joint Conference on Information Security (AsiaJCIS).

Detection-Resistant Steganography for Standard MIDI Files

Daisuke Inoue, Tsutomu Matsumoto, Tsutomu Matsumoto, 2003, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

FCReducer: Locating Symmetric Cryptographic Functions on the Memory

Masakatu Morii, Koji Nakao, Ryoichi Isawa, 2018, IEICE Trans. Inf. Syst..

On-premises Analysis of Advanced Threat Prevention Appliances

Tao Ban, Daisuke Inoue, Takeshi Takahashi, 2021, CSET @ USENIX Security Symposium.

SandPrint: Fingerprinting Malware Sandboxes to Provide Intelligence for Sandbox Evasion

Tsutomu Matsumoto, Michael Backes, Daisuke Inoue, 2016, RAID.

IoT malware classification based on reinterpreted function-call graphs

Tao Ban, Shin-Ming Cheng, Takeshi Takahashi, 2022, Comput. Secur..

Generating software identifier dictionaries from Vulnerability Database

Daisuke Inoue, Takeshi Takahashi, Takeshi Takahashi, 2016, 2016 14th Annual Conference on Privacy, Security and Trust (PST).

Understanding the Influence of AST-JS for Improving Malicious Webpage Detection

Tao Ban, Takeshi Takahashi, M. Rozi, 2022, Applied Sciences.

Incremental and Decremental Max-Flow for Online Semi-Supervised Learning

Lei Zhu, Shaoning Pang, Abdolhossein Sarrafzadeh, 2016, IEEE Transactions on Knowledge and Data Engineering.

Statistical analysis of honeypot data and building of Kyoto 2006+ dataset for NIDS evaluation

Hiroki Takakura, Koji Nakao, Yasuo Okabe, 2011, BADGERS '11.

A Cross-Platform Study on IoT Malware

Tao Ban, Ryoichi Isawa, Daisuke Inoue, 2018, 2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU).

Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files

Shin-Ming Cheng, Takeshi Takahashi, Tao Ban, 2020, IEEE Open Journal of the Computer Society.

An HDL Simulator with Direct Register Access for Improving Code Coverage

D. Inoue, Ryoichi Isawa, Nobuyuki Kanaya, 2022, 2022 17th Asia Joint Conference on Information Security (AsiaJCIS).

The Carna Botnet Through the Lens of a Network Telescope

Daisuke Inoue, Erwan Le Malécot, D. Inoue, 2013, FPS.

Real-Time Detection of Malware Activities by Analyzing Darknet Traffic Using Graphical Lasso

Takeshi Takahashi, Koji Nakao, Jun'ichi Takeuchi, 2019, 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

Detecting Android Malware and Classifying Its Families in Large-scale Datasets

Bo Sun, Tao Ban, Takeshi Takahashi, 2021, ACM Trans. Manag. Inf. Syst..

Measurement Study Towards a Unified Firmware Updating Scheme for Legacy IoT Devices

Shin-Ming Cheng, Tao Ban, Koji Nakao, 2019, 2019 14th Asia Joint Conference on Information Security (AsiaJCIS).

Critical-Threat-Alert Detection using Online Machine Learning

Tao Ban, Takeshi Takahashi, D. Inoue, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Detection of Botnet Activities Through the Lens of a Large-Scale Darknet

Lei Zhu, Shaoning Pang, Tao Ban, 2017, ICONIP.

Automated Detection of Malware Activities Using Nonnegative Matrix Factorization

Takeshi Takahashi, D. Inoue, Chansu Han, 2021, 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

Real-Time Detection of Global Cyberthreat Based on Darknet by Estimating Anomalous Synchronization Using Graphical Lasso

Takeshi Takahashi, Daisuke Inoue, Jun'ichi Takeuchi, 2020, IEICE Trans. Inf. Syst..

Real-time botnet detection using nonnegative tucker decomposition

Takeshi Takahashi, Jumpei Shimamura, Noboru Murata, 2019, SAC.

A study on association rule mining of darknet big data

Runhe Huang, Shanqing Guo, Tao Ban, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Feature subset selection by SVM ensemble

Tao Ban, Daisuke Inoue, Tao Ban, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Breaking Alert Fatigue: AI-Assisted SIEM Framework for Effective Incident Response

Tao Ban, Takeshi Takahashi, D. Inoue, 2023 .

FDLKH: Fully Decentralized Key Management Scheme on Logical Key Hierarchy

Masahiro Kuroda, Daisuke Inoue, M. Kuroda, 2004, ACNS.

Combat Security Alert Fatigue with AI-Assisted Techniques

Tao Ban, Takeshi Takahashi, D. Inoue, 2021, CSET @ USENIX Security Symposium.

Comparing Malware Samples for Unpacking: A Feasibility Study

Masakatu Morii, Ryoichi Isawa, Daisuke Inoue, 2016, 2016 11th Asia Joint Conference on Information Security (AsiaJCIS).

Referential kNN Regression for Financial Time Series Forecasting

Ruibin Zhang, Shaoning Pang, Abdolhossein Sarrafzadeh, 2013, ICONIP.

Threat Alert Prioritization Using Isolation Forest and Stacked Auto Encoder With Day-Forward-Chaining Analysis

Takeshi Takahashi, Tao Ban, Ryoichi Isawa, 2020, IEEE Access.

JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism

Tao Ban, Seiichi Ozawa, Daisuke Inoue, 2021, International Conference on Neural Information Processing.

Color-coded Attribute Graph: Visual Exploration of Distinctive Traits of IoT-Malware Families

Tao Ban, Takeshi Takahashi, D. Inoue, 2023, 2023 IEEE Symposium on Computers and Communications (ISCC).

A Learner-Independent Knowledge Transfer Approach to Multi-task Learning

Shaoning Pang, Youki Kadobayashi, Tao Ban, 2014, Cognitive Computation.

A scalable and accurate feature representation method for identifying malicious mobile applications

Bo Sun, Yeali S. Sun, Tao Ban, 2019, SAC.

Extracting Threat Intelligence Related IoT Botnet From Latest Dark Web Data Collection

Takeshi Takahashi, D. Inoue, Keisuke Furumoto, 2021, 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics).

Security-Alert Screening with Oversampling Based on Conditional Generative Adversarial Networks

Tao Ban, Takeshi Takahashi, D. Inoue, 2022, 2022 17th Asia Joint Conference on Information Security (AsiaJCIS).

The Usability of Metadata for Android Application Analysis

Chih-Hung Lin, Tao Ban, Koji Nakao, 2016, ICONIP.

An Accurate Packer Identification Method Using Support Vector Machine

Shanqing Guo, Tao Ban, Koji Nakao, 2014, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Dynamic class imbalance learning for incremental LPSVM

Gang Chen, Lei Zhu, Shaoning Pang, 2013, Neural Networks.

Online Max-flow Learning via Augmenting and De-augmenting Path

Kazushi Ikeda, Lei Zhu, Shaoning Pang, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A federated network online network traffics analysis engine for cybersecurity

Shaoning Pang, Abdolhossein Sarrafzadeh, Tao Ban, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Cross Platform IoT- Malware Family Classification based on Printable Strings

Tao Ban, Shin-Ming Cheng, Takeshi Takahashi, 2020, 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files

Tao Ban, Shin-Ming Cheng, Takeshi Takahashi, 2020, IEEE Open Journal of the Computer Society.

Efficient Malware Packer Identification Using Support Vector Machines with Spectrum Kernel

Shanqing Guo, Tao Ban, Koji Nakao, 2013, 2013 Eighth Asia Joint Conference on Information Security.

User compliance and remediation success after IoT malware notifications

Daisuke Inoue, Takahiro Kasama, Arman Noroozian, 2021, J. Cybersecur..

An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques

Koji Nakao, Daisuke Inoue, Katsunari Yoshioka, 2008, ICONIP.

AI-Assisted Security Alert Data Analysis with Imbalanced Learning Methods

Tao Ban, Takeshi Takahashi, D. Inoue, 2023, Applied Sciences.

Cleaning Up the Internet of Evil Things: Real-World Evidence on ISP and Consumer Efforts to Remove Mirai

Daisuke Inoue, Katsunari Yoshioka, Takahiro Kasama, 2019, NDSS.