Spatially chunking support vector clustering algorithm. - Tao Ban; Shigeo Abe (IJCNN, 2004)

SVM ensembles for selecting the relevant feature subsets. - Tao Ban; Shigeo Abe (IJCNN, 2005)

Implementing Multi-class Classifiers by One-class Classification Methods. - Tao Ban; Shigeo Abe (IJCNN, 2006)

Using Genetic Algorithm to Balance the D-Index Algorithm for Metric Search. - Tao Ban (ICONIP (2), 2007)

Anomaly Intrusion Detection for Evolving Data Stream Based on Semi-supervised Learning. - Yan Yu; Shanqing Guo; Shaohua Lan; Tao Ban (ICONIP (1), 2008)

G-Means: A Clustering Algorithm for Intrusion Detection. - Zhonghua Zhao; Shanqing Guo; Qiuliang Xu; Tao Ban (ICONIP (1), 2008)

Spanning SVM Tree for Personalized Transductive Learning. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Nikola K. Kasabov (ICANN (1), 2009)

AdaIndex: An Adaptive Index Structure for Fast Similarity Search in Metric Spaces. - Tao Ban; Shanqing Guo; Qiuliang Xu; Youki Kadobayashi (ICONIP (2), 2009)

Hierarchical Core Vector Machines for Network Intrusion Detection. - Ye Chen; Shaoning Pang 001; Nikola K. Kasabov; Tao Ban; Youki Kadobayashi (ICONIP (2), 2009)

String Kernel Based SVM for Internet Security Implementation. - Zbynek Michlovský; Shaoning Pang 001; Nikola K. Kasabov; Tao Ban; Youki Kadobayashi (ICONIP (2), 2009)

Perfect Forward Secure Two-Party Key Agreement Protocol with Key Escrow. - Mengbo Hou; Qiuliang Xu; Tao Ban (IIH-MSP, 2009)

Identity Based Authenticated Key Agreement for Tree-Based Group. - Xiangfei Sun; Qiuliang Xu; Tao Ban (IIH-MSP, 2009)

A Provably Secure Two-Party Attribute-Based Key Agreement Protocol. - Hao Wang 007; Qiuliang Xu; Tao Ban (IIH-MSP, 2009)

Sparse kernel feature analysis using FastMap and its variants. - Tao Ban; Youki Kadobayashi; Shigeo Abe (IJCNN, 2009)

A new approach to discover interlacing data structures in high-dimensional space. - Tao Ban; Changshui Zhang; Shigeo Abe (J. Intell. Inf. Syst., 2009)

Guest editorial: Thematic issue on 'Adaptive Soft Computing Techniques and Applications'. - Shaoning Pang 001; Tao Ban (Memetic Comput., 2009)

A Fast Kernel on Hierarchial Tree Structures and Its Application to Windows Application Behavior Analysis. - Tao Ban; Ruo Ando; Youki Kadobayashi (ICONIP (2), 2010)

A Malware Detection Algorithm Based on Multi-view Fusion. - Shanqing Guo; Qixia Yuan; Fengbo Lin; Fengyu Wang; Tao Ban (ICONIP (2), 2010)

Fast Implementation of String-Kernel-Based Support Vector Classifiers by GPU Computing. - Yongquan Shi; Tao Ban; Shanqing Guo; Qiuliang Xu; Youki Kadobayashi (ICONIP (2), 2010)

Incremental and decremental LDA learning with applications. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Nikola K. Kasabov (IJCNN, 2010)

Entropy Based Discriminators for P2P Teletraffic Characterization. - Tao Ban; Shanqing Guo; Masashi Eto; Daisuke Inoue; Koji Nakao (ICONIP (2), 2011)

Network Flow Classification Based on the Rhythm of Packets. - Liangxiong Li; Fengyu Wang; Tao Ban; Shanqing Guo; Bin Gong (ICONIP (2), 2011)

Practical network traffic analysis in P2P environment. - Tao Ban; Shanqing Guo; Zonghua Zhang; Ruo Ando; Youki Kadobayashi (IWCMC, 2011)

Mining interlacing manifolds in high dimensional spaces. - Tao Ban; Changshui Zhang; Shigeo Abe; Takeshi Takahashi 001; Youki Kadobayashi (SAC, 2011)

Personalized mode transductive spanning SVM classification tree. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Nikola K. Kasabov (Inf. Sci., 2011)

A Fine-Grained Classification Approach for the Packed Malicious Code. - Shanqing Guo; Shuangshuang Li; Yan Yu; Anlei Hu; Tao Ban (ICICS, 2012)

Behavior Analysis of Long-term Cyber Attacks in the Darknet. - Tao Ban; Lei Zhu; Jumpei Shimamura; Shaoning Pang 001; Daisuke Inoue; Koji Nakao (ICONIP (5), 2012)

SDE-Driven Service Provision Control. - Gang Chen 002; Shaoning Pang 001; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (ICONIP (1), 2012)

Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer. - Shaoning Pang 001; Fan Liu; Youki Kadobayashi; Tao Ban; Daisuke Inoue (ICONIP (1), 2012)

TrafficS: A Behavior-Based Network Traffic Classification Benchmark System with Traffic Sampling Functionality. - Xiaoyan Yan; Bo Liang; Tao Ban; Shanqing Guo; Liming Wang (ICONIP (4), 2012)

A study on cost-effective P2P traffic classification. - Tao Ban; Shanqing Guo; Masashi Eto; Daisuke Inoue; Koji Nakao (IJCNN, 2012)

Towards Cost-Effective P2P Traffic Classification in Cloud Environment. - Tao Ban; Shanqing Guo; Masashi Eto; Daisuke Inoue; Koji Nakao (IEICE Trans. Inf. Syst., 2012)

LDA Merging and Splitting With Applications to Multiagent Cooperative Learning and System Alteration. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Nikola K. Kasabov (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Efficient Malware Packer Identification Using Support Vector Machines with Spectrum Kernel. - Tao Ban; Ryoichi Isawa; Shanqing Guo; Daisuke Inoue; Koji Nakao (AsiaJCIS, 2013)

An incremental learning approach to continuous image change detection. - Lei Song; Shaoning Pang 001; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (FSKD, 2013)

Referential kNN Regression for Financial Time Series Forecasting. - Tao Ban; Ruibin Zhang; Shaoning Pang 001; Abdolhossein Sarrafzadeh; Daisuke Inoue (ICONIP (1), 2013)

Application of string kernel based support vector machine for malware packer identification. - Tao Ban; Ryoichi Isawa; Shanqing Guo; Daisuke Inoue; Koji Nakao (IJCNN, 2013)

Chunk incremental IDR/QR LDA learning. - Yiming Peng; Shaoning Pang 001; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (IJCNN, 2013)

User Travelling Pattern Prediction via Indistinct Cellular Data Mining. - Jingwei Wang; Neil Y. Yen; Bin Guo 001; Runhe Huang; Jianhua Ma 002; Tao Ban; Hong Zhao (UIC/ATC, 2013)

Dynamic class imbalance learning for incremental LPSVM. - Shaoning Pang 001; Lei Zhu; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (Neural Networks, 2013)

Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets. - Nobuaki Furutani; Tao Ban; Junji Nakazato; Jumpei Shimamura; Jun Kitazono; Seiichi Ozawa (AsiaJCIS, 2014)

Detecting Malicious Spam Mails: An Online Machine Learning Approach. - Yuli Dai; Shunsuke Tada; Tao Ban; Junji Nakazato; Jumpei Shimamura; Seiichi Ozawa (ICONIP (3), 2014)

A Learner-Independent Knowledge Transfer Approach to Multi-task Learning. - Shaoning Pang 001; Fan Liu; Youki Kadobayashi; Tao Ban; Daisuke Inoue (Cogn. Comput., 2014)

An Accurate Packer Identification Method Using Support Vector Machine. - Ryoichi Isawa; Tao Ban; Shanqing Guo; Daisuke Inoue; Koji Nakao (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Adaptive DDoS-Event Detection from Big Darknet Traffic Data. - Nobuaki Furutani; Jun Kitazono; Seiichi Ozawa; Tao Ban; Junji Nakazato; Jumpei Shimamura (ICONIP (4), 2015)

MonkeyDroid: Detecting Unreasonable Privacy Leakages of Android Applications. - Kai Ma; Mengyang Liu; Shanqing Guo; Tao Ban (ICONIP (3), 2015)

Fine-Grained Risk Level Quantication Schemes Based on APK Metadata. - Takeshi Takahashi 001; Tao Ban; Takao Mimura; Koji Nakao (ICONIP (3), 2015)

An autonomous online malicious spam email detection system using extended RBF network. - Siti Hajar Aminah Ali; Seiichi Ozawa; Junji Nakazato; Tao Ban; Jumpei Shimamura (IJCNN, 2015)

A study on association rule mining of darknet big data. - Tao Ban; Masashi Eto; Shanqing Guo; Daisuke Inoue; Koji Nakao; Runhe Huang (IJCNN, 2015)

A federated network online network traffics analysis engine for cybersecurity. - Shaoning Pang 001; Yiming Peng; Tao Ban; Daisuke Inoue; Abdolhossein Sarrafzadeh (IJCNN, 2015)

Large-Scale Monitoring for Cyber Attacks by Using Cluster Information on Darknet Traffic Features. - Hironori Nishikaze; Seiichi Ozawa; Jun Kitazono; Tao Ban; Junji Nakazato; Jumpei Shimamura (INNS Conference on Big Data, 2015)

PaddyFrog: systematically detecting confused deputy vulnerability in Android applications. - Jianliang Wu 002; Tingting Cui; Tao Ban; Shanqing Guo; Lizhen Cui (Secur. Commun. Networks, 2015)

Integration of Multi-modal Features for Android Malware Detection Using Linear SVM. - Tao Ban; Takeshi Takahashi 001; Shanqing Guo; Daisuke Inoue; Koji Nakao (AsiaJCIS, 2016)

The Usability of Metadata for Android Application Analysis. - Takeshi Takahashi 001; Tao Ban; Chin-Wei Tien; Chih-Hung Lin; Daisuke Inoue; Koji Nakao (ICONIP (1), 2016)

A neural network model for detecting DDoS attacks using darknet traffic features. - Siti Hajar Aminah Ali; Seiichi Ozawa; Tao Ban; Junji Nakazato; Jumpei Shimamura (IJCNN, 2016)

Feature subset selection by SVM ensemble. - Tao Ban; Daisuke Inoue (SSCI, 2016)

Distributed incremental wLPSVM learning. - Lei Zhu; Tao Ban; Kazushi Ikeda; Paul Pang; Abdolhossein Sarrafzadeh (SSCI, 2016)

Towards Early Detection of Novel Attack Patterns through the Lens of a Large-Scale Darknet. - Tao Ban; Shaoning Pang 001; Masashi Eto; Daisuke Inoue; Koji Nakao; Runhe Huang (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Incremental and Decremental Max-Flow for Online Semi-Supervised Learning. - Lei Zhu; Shaoning Pang 001; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (IEEE Trans. Knowl. Data Eng., 2016)

Detection of Botnet Activities Through the Lens of a Large-Scale Darknet. - Tao Ban; Lei Zhu; Jumpei Shimamura; Shaoning Pang 001; Daisuke Inoue; Koji Nakao (ICONIP (5), 2017)

NIVAnalyzer: A Tool for Automatically Detecting and Verifying Next-Intent Vulnerabilities in Android Apps. - Junjie Tang; Xingmin Cui; Ziming Zhao 001; Shanqing Guo; Xin-Shun Xu; Chengyu Hu; Tao Ban; Bing Mao 001 (ICST, 2017)

Evolving cauchy possibilistic clustering and its application to large-scale cyberattack monitoring. - Igor Skrjanc; Seiichi Ozawa; Dejan Dovzan; Tao Ban; Junji Nakazato; Jumpei Shimamura (SSCI, 2017)

Practical darknet traffic analysis: Methods and case studies. - Tao Ban; Daisuke Inoue (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Goods recommendation based on retail knowledge in a Neo4j graph database combined with an inference mechanism implemented in jess. - Takahiro Konno; Runhe Huang; Tao Ban; Chuanhe Huang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Malicious Events Grouping via Behavior Based Darknet Traffic Flow Analysis. - Shaoning Pang 001; Dan Komosny; Lei Zhu; Ruibin Zhang; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (Wirel. Pers. Commun., 2017)

Evaluating Disassembly-Code Based Similarity between IoT Malware Samples. - Ryoichi Isawa; Tao Ban; Ying Tie; Katsunari Yoshioka; Daisuke Inoue (AsiaJCIS, 2018)

A Cross-Platform Study on IoT Malware. - Tao Ban; Ryoichi Isawa; Katsunari Yoshioka; Daisuke Inoue (ICMU, 2018)

Employ Decision Values for Soft-Classifier Evaluation with Crispy References. - Lei Zhu; Tao Ban; Takeshi Takahashi 001; Daisuke Inoue (ICONIP (4), 2018)

Online Max-flow Learning via Augmenting and De-augmenting Path. - Shaoning Pang 001; Lei Zhu; Tao Ban; Kazushi Ikeda; Wangfei Zhang; Abdolhossein Sarrafzadeh; Takeshi Takahashi 001; Daisuke Inoue (IJCNN, 2018)

A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning. - Naoki Hashimoto; Seiichi Ozawa; Tao Ban; Junji Nakazato; Jumpei Shimamura (INNS Conference on Big Data, 2018)

Comprehensible Categorization and Visualization of Orchestrated Malicious Domain Names using Linkage Analysis. - Shin-Ying Huang; Tzu-Hsien Chuang; Shi-Meng Huang; Tao Ban (PST, 2018)

Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering. - Igor Skrjanc; Seiichi Ozawa; Tao Ban; Dejan Dovzan (Appl. Soft Comput., 2018)

Automatically Generating Malware Analysis Reports Using Sandbox Logs. - Bo Sun; Akinori Fujino; Tatsuya Mori; Tao Ban; Takeshi Takahashi 001; Daisuke Inoue (IEICE Trans. Inf. Syst., 2018)

Merging weighted SVMs for parallel incremental learning. - Lei Zhu; Kazushi Ikeda; Shaoning Pang 001; Tao Ban; Abdolhossein Sarrafzadeh (Neural Networks, 2018)

Measurement Study Towards a Unified Firmware Updating Scheme for Legacy IoT Devices. - Bing-Kai Hong; Jr-Wei Huang; Tao Ban; Ryoichi Isawa; Shin-Ming Cheng; Daisuke Inoue; Koji Nakao (AsiaJCIS, 2019)

Malicious URL Linkage Analysis and Common Pattern Discovery. - Shin-Ying Huang; Tzu-Hsien Chuang; Shi-Meng Huang; Tao Ban (IEEE BigData, 2019)

Establishing Trusted and Timely Information Source using Social Media Services. - Ryutaro Ushigome; Mio Suzuki; Tao Ban; Takeshi Takahashi 001; Daisuke Inoue; Takeshi Matsuda; Michio Sonoda (CCNC, 2019)

Combating Threat-Alert Fatigue with Online Anomaly Detection Using Isolation Forest. - Muhamad Erza Aminanto; Lei Zhu; Tao Ban; Ryoichi Isawa; Takeshi Takahashi 001; Daisuke Inoue (ICONIP (1), 2019)

Automated Threat-Alert Screening for Battling Alert Fatigue with Temporal Isolation Forest. - Muhamad Erza Aminanto; Lei Zhu; Tao Ban; Ryoichi Isawa; Takeshi Takahashi 001; Daisuke Inoue (PST, 2019)

A scalable and accurate feature representation method for identifying malicious mobile applications. - Bo Sun; Tao Ban; Shun-Chieh Chang; Yeali S. Sun; Takeshi Takahashi 001; Daisuke Inoue (SAC, 2019)

A Topic-Based Unsupervised Learning Approach for Online Underground Market Exploration. - Shin-Ying Huang; Tao Ban (TrustCom/BigDataSE, 2019)

Anomaly Detection in Network Traffic Using Dynamic Graph Mining with a Sparse Autoencoder. - Guanbo Jia; Paul Miller 003; Xin Hong; Harsha K. Kalutarage; Tao Ban (TrustCom/BigDataSE, 2019)

A Cross-Platform Study on Emerging Malicious Programs Targeting IoT Devices. - Tao Ban; Ryoichi Isawa; Shin-Ying Huang; Katsunari Yoshioka; Daisuke Inoue (IEICE Trans. Inf. Syst., 2019)

A Privacy-Preserving Federated Learning System for Android Malware Detection Based on Edge Computing. - Ruei-Hau Hsu; Yi-Cheng Wang; Chun-I Fan; Bo Sun; Tao Ban; Takeshi Takahashi 001; Ting-Wei Wu; Shang-Wei Kao (AsiaJCIS, 2020)

IoT-Malware Detection Based on Byte Sequences of Executable Files. - Tzu-Ling Wan; Tao Ban; Yen-Ting Lee; Shin-Ming Cheng; Ryoichi Isawa; Takeshi Takahashi 001; Daisuke Inoue (AsiaJCIS, 2020)

Port-Piece Embedding for Darknet Traffic Features and Clustering of Scan Attacks. - Shintaro Ishikawa; Seiichi Ozawa; Tao Ban (ICONIP (2), 2020)

CDMC'19 - The 10th International Cybersecurity Data Mining Competition. - Shaoning Pang 001; Tao Ban; Youki Kadobayashi; Jungsuk Song; Kaizhu Huang; Geongsen Poh; Iqbal Gondal; Kitsuchart Pasupa; Fadi A. Aloul (ICONIP (2), 2020)

ELF Analyzer Demo: Online Identification for IoT Malwares with Multiple Hardware Architectures. - Shin-Ming Cheng; Tao Ban; Jr-Wei Huang; Bing-Kai Hong; Daisuke Inoue (SP (Workshops), 2020)

Monitoring Social Media for Vulnerability-Threat Prediction and Topic Analysis. - Shin-Ying Huang; Tao Ban (TrustCom, 2020)

Cross Platform IoT- Malware Family Classification based on Printable Strings. - Yen-Ting Lee; Tao Ban; Tzu-Ling Wan; Shin-Ming Cheng; Ryoichi Isawa; Takeshi Takahashi 001; Daisuke Inoue (TrustCom, 2020)

Threat Alert Prioritization Using Isolation Forest and Stacked Auto Encoder With Day-Forward-Chaining Analysis. - Muhamad Erza Aminanto; Tao Ban; Ryoichi Isawa; Takeshi Takahashi 001; Daisuke Inoue (IEEE Access, 2020)

Machine Learning Framework to Analyze IoT Malware Using ELF and Opcode Features. - Chin-Wei Tien; Shang-Wen Chen; Tao Ban; Sy-Yen Kuo (DTRAP, 2020)

A study of IoT malware activities using association rule learning for darknet sensor data. - Seiichi Ozawa; Tao Ban; Naoki Hashimoto; Junji Nakazato; Jumpei Shimamura (Int. J. Inf. Sec., 2020)

Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files. - Tzu-Ling Wan; Tao Ban; Shin-Ming Cheng; Yen-Ting Lee; Bo Sun; Ryoichi Isawa; Takeshi Takahashi 001; Daisuke Inoue (IEEE Open J. Comput. Soc., 2020)

Which Packet Did They Catch? Associating NIDS Alerts with Their Communication Sessions. - Ryosuke Ishibashi; Hiroki Goto; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (AsiaJCIS, 2021)

A Machine Learning Approach to Detection of Critical Alerts from Imbalanced Multi-Appliance Threat Alert Logs. - Samuel Ndichu; Tao Ban; Takeshi Takahashi 001; Daisuke Inoue (IEEE BigData, 2021)

Towards Efficient Labeling of Network Incident Datasets Using Tcpreplay and Snort. - Kohei Masumi; Chansu Han; Tao Ban; Takeshi Takahashi 001 (CODASPY, 2021)

JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism. - Muhammad Fakhrur Rozi; Tao Ban; Seiichi Ozawa; Sangwook Kim; Takeshi Takahashi 001; Daisuke Inoue (ICONIP (2), 2021)

Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines? - Takeshi Takahashi 001; Yuki Umemura; Chansu Han; Tao Ban; Keisuke Furumoto; Ohnori Nakamura; Katsunari Yoshioka; Jun'ichi Takeuchi; Noboru Murata; Yoshiaki Shiraishi (PerCom Workshops, 2021)

IoT Malware Detection Using Function-Call-Graph Embedding. - Chia-Yi Wu; Tao Ban; Shin-Ming Cheng; Bo Sun; Takeshi Takahashi 001 (PST, 2021)

Multi-label Positive and Unlabeled Learning and its Application to Common Vulnerabilities and Exposure Categorization. - Masaki Aota; Tao Ban; Takeshi Takahashi 001; Noboru Murata (TrustCom, 2021)

Combat Security Alert Fatigue with AI-Assisted Techniques. - Tao Ban; Samuel Ndichu; Takeshi Takahashi 001; Daisuke Inoue (CSET @ USENIX Security Symposium, 2021)

On-premises Analysis of Advanced Threat Prevention Appliances. - Akira Fujita; Tao Ban; Takeshi Takahashi 001; Daisuke Inoue (CSET @ USENIX Security Symposium, 2021)

Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks. - Bo Sun; Tao Ban; Chansu Han; Takeshi Takahashi 001; Katsunari Yoshioka; Jun'ichi Takeuchi; Abdolhossein Sarrafzadeh; Meikang Qiu; Daisuke Inoue (IEEE Access, 2021)

Security-Alert Screening with Oversampling Based on Conditional Generative Adversarial Networks. - Samuel Ndichu; Tao Ban; Takeshi Takahashi 001; Daisuke Inoue (AsiaJCIS, 2022)

Critical-Threat-Alert Detection using Online Machine Learning. - Samuel Ndichu; Tao Ban; Takeshi Takahashi 001; Daisuke Inoue (IEEE Big Data, 2022)

IoT Botnet Detection Based on the Behaviors of DNS Queries. - Chun-I Fan; Cheng-Han Shie; Che-Ming Hsu; Tao Ban; Tomohiro Morikawa; Takeshi Takahashi 001 (DSC, 2022)

Malicious Packet Classification Based on Neural Network Using Kitsune Features. - Kohei Miyamoto; Hiroki Goto; Ryosuke Ishibashi; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (ISPR, 2022)

Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems. - Ryosuke Ishibashi; Kohei Miyamoto; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (IEEE Access, 2022)

Detecting Android Malware and Classifying Its Families in Large-scale Datasets. - Bo Sun; Takeshi Takahashi 001; Tao Ban; Daisuke Inoue (ACM Trans. Manag. Inf. Syst., 2022)

Hybrid Explainable Intrusion Detection System: Global vs. Local Approach. - Harry Chandra Tanuwidjaja; Takeshi Takahashi 001; Tsung-Nan Lin; Boyi Lee; Tao Ban (ARTMAN@CCS, 2023)

Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads. - Shota Kawanaka; Yoshikatsu Kashiwabara; Kohei Miyamoto; Masazumi Iida; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (AsiaJCIS, 2023)

Machine Learning-Based Security Alert Screening with Focal Loss. - Samuel Ndichu; Tao Ban; Takeshi Takahashi 001; Daisuke Inoue (IEEE Big Data, 2023)

Color-coded Attribute Graph: Visual Exploration of Distinctive Traits of IoT-Malware Families. - Jiaxing Zhou; Tao Ban; Tomohiro Morikawa; Takeshi Takahashi 001; Daisuke Inoue (ISCC, 2023)

Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach. - Kohei Miyamoto; Masazumi Iida; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (IEEE Access, 2023)

Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation. - Muhammad Fakhrur Rozi; Tao Ban; Seiichi Ozawa; Akira Yamada 001; Takeshi Takahashi 001; Sangwook Kim; Daisuke Inoue (IEEE Access, 2023)

IoT malware classification based on reinterpreted function-call graphs. - Chia-Yi Wu; Tao Ban; Shin-Ming Cheng; Takeshi Takahashi 001; Daisuke Inoue (Comput. Secur., 2023)

Intrusion Detection Simplified: A Feature-free Approach to Traffic Classification Using Transformers. - Kohei Miyamoto; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (ACSAC Workshops, 2024)

CIA-EBE: Class Imbalance-Aware Event-Based Embedding for SOC Log Screening. - Samuel Ndichu; Tao Ban; Takeshi Takahashi 001; Takahiro Kasama (IEEE Big Data, 2024)

Adversarial Evaluation of AI-Based Security Alert Screening Systems. - Samuel Ndichu; Tao Ban; Takeshi Takahashi 001; Akira Yamada 001; Seiichi Ozawa; Daisuke Inoue (CyberSciTech, 2024)

Reinterpreting System Calls for Enhanced IoT Malware Analysis Using Function Call Graphs. - Wei-Jen Liao; Tao Ban; Shin-Ming Cheng; Takeshi Takahashi 001 (ICISC, 2024)

Does Ordinality in Encoding Matter for XAI? A Case Study on Explainable IDS. - Harry Chandra Tanuwidjaja; Tao Ban; Takeshi Takahashi 001; Tsung-Nan Lin; Boyi Lee; Muhamad Erza Aminanto (ICISC, 2024)

Securing Code With Context: Enhancing Vulnerability Detection Through Contextualized Graph Representations. - Muhammad Fakhrur Rozi; Tao Ban; Seiichi Ozawa; Akira Yamada 001; Takeshi Takahashi 001; Daisuke Inoue (IEEE Access, 2024)