Tao Ban

According to our database, Tao Ban authored at least 116 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Securing Code With Context: Enhancing Vulnerability Detection Through Contextualized Graph Representations.

Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Akira Yamada, Takeshi Takahashi, Daisuke Inoue

IEEE Access, 2024

2023

IoT malware classification based on reinterpreted function-call graphs.

Chia-Yi Wu, Tao Ban, Shin-Ming Cheng, Takeshi Takahashi, Daisuke Inoue

Comput. Secur., 2023

Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation.

Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Akira Yamada, Takeshi Takahashi, Sangwook Kim, Daisuke Inoue

IEEE Access, 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, Jun'ichi Takeuchi

IEEE Access, 2023

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

Jiaxing Zhou, Tao Ban, Tomohiro Morikawa, Takeshi Takahashi, Daisuke Inoue

Proceedings of the IEEE Symposium on Computers and Communications, 2023

Machine Learning-Based Security Alert Screening with Focal Loss.

Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue

Proceedings of the IEEE International Conference on Big Data, 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, Jun'ichi Takeuchi

Proceedings of the 18th Asia Joint Conference on Information Security, 2023

Hybrid Explainable Intrusion Detection System: Global vs. Local Approach.

Harry Chandra Tanuwidjaja, Takeshi Takahashi, Tsung-Nan Lin, Boyi Lee, Tao Ban

Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks, 2023

2022

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

Bo Sun, Takeshi Takahashi, Tao Ban, Daisuke Inoue

ACM Trans. Manag. Inf. Syst., 2022

Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems.

Ryosuke Ishibashi, Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi

IEEE Access, 2022

Malicious Packet Classification Based on Neural Network Using Kitsune Features.

Kohei Miyamoto, Hiroki Goto, Ryosuke Ishibashi, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi

Proceedings of the Intelligent Systems and Pattern Recognition, 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

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

Critical-Threat-Alert Detection using Online Machine Learning.

Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue

Proceedings of the IEEE International Conference on Big Data, 2022

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

Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue

Proceedings of the 17th Asia Joint Conference on Information Security, 2022

2021

Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks.

Bo Sun, Tao Ban, Chansu Han, Takeshi Takahashi, Katsunari Yoshioka, Jun'ichi Takeuchi, Abdolhossein Sarrafzadeh, Meikang Qiu, Daisuke Inoue

IEEE Access, 2021

On-premises Analysis of Advanced Threat Prevention Appliances.

Akira Fujita, Tao Ban, Takeshi Takahashi, Daisuke Inoue

Proceedings of the CSET '21: Cyber Security Experimentation and Test Workshop, 2021

Combat Security Alert Fatigue with AI-Assisted Techniques.

Tao Ban, Samuel Ndichu, Takeshi Takahashi, Daisuke Inoue

Proceedings of the CSET '21: Cyber Security Experimentation and Test Workshop, 2021

Multi-label Positive and Unlabeled Learning and its Application to Common Vulnerabilities and Exposure Categorization.

Masaki Aota, Tao Ban, Takeshi Takahashi, Noboru Murata

Proceedings of the 20th IEEE International Conference on Trust, 2021

IoT Malware Detection Using Function-Call-Graph Embedding.

Chia-Yi Wu, Tao Ban, Shin-Ming Cheng, Bo Sun, Takeshi Takahashi

Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021

Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines?

Takeshi Takahashi, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 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, Daisuke Inoue

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Towards Efficient Labeling of Network Incident Datasets Using Tcpreplay and Snort.

Kohei Masumi, Chansu Han, Tao Ban, Takeshi Takahashi

Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021

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

Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Which Packet Did They Catch? Associating NIDS Alerts with Their Communication Sessions.

Ryosuke Ishibashi, Hiroki Goto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi

Proceedings of the 16th Asia Joint Conference on Information Security, 2021

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, Daisuke Inoue

IEEE Open J. Comput. Soc., 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

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

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

Muhamad Erza Aminanto, Tao Ban, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue

IEEE Access, 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, Daisuke Inoue

Proceedings of the 19th IEEE International Conference on Trust, 2020

Monitoring Social Media for Vulnerability-Threat Prediction and Topic Analysis.

Shin-Ying Huang, Tao Ban

Proceedings of the 19th IEEE International Conference on Trust, 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

Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020

CDMC'19 - The 10th International Cybersecurity Data Mining Competition.

Shaoning Pang, Tao Ban, Youki Kadobayashi, Jungsuk Song, Kaizhu Huang, Geongsen Poh, Iqbal Gondal, Kitsuchart Pasupa, Fadi A. Aloul

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Port-Piece Embedding for Darknet Traffic Features and Clustering of Scan Attacks.

Shintaro Ishikawa, Seiichi Ozawa, Tao Ban

Proceedings of the Neural Information Processing - 27th International Conference, 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, Daisuke Inoue

Proceedings of the 15th Asia Joint Conference on Information Security, 2020

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, Ting-Wei Wu, Shang-Wei Kao

Proceedings of the 15th Asia Joint Conference on Information Security, 2020

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

Anomaly Detection in Network Traffic Using Dynamic Graph Mining with a Sparse Autoencoder.

Guanbo Jia, Paul Miller, Xin Hong, Harsha K. Kalutarage, Tao Ban

Proceedings of the 18th IEEE International Conference On Trust, 2019

A Topic-Based Unsupervised Learning Approach for Online Underground Market Exploration.

Shin-Ying Huang, Tao Ban

Proceedings of the 18th IEEE International Conference On Trust, 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, Daisuke Inoue

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Automated Threat-Alert Screening for Battling Alert Fatigue with Temporal Isolation Forest.

Muhamad Erza Aminanto, Lei Zhu, Tao Ban, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue

Proceedings of the 17th International Conference on Privacy, Security and Trust, 2019

Combating Threat-Alert Fatigue with Online Anomaly Detection Using Isolation Forest.

Muhamad Erza Aminanto, Lei Zhu, Tao Ban, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Establishing Trusted and Timely Information Source using Social Media Services.

Ryutaro Ushigome, Mio Suzuki, Tao Ban, Takeshi Takahashi, Daisuke Inoue, Takeshi Matsuda, Michio Sonoda

Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019

Malicious URL Linkage Analysis and Common Pattern Discovery.

Shin-Ying Huang, Tzu-Hsien Chuang, Shi-Meng Huang, Tao Ban

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

Proceedings of the 14th Asia Joint Conference on Information Security, 2019

2018

Merging weighted SVMs for parallel incremental learning.

Lei Zhu, Kazushi Ikeda, Shaoning Pang, Tao Ban, Abdolhossein Sarrafzadeh

Neural Networks, 2018

Automatically Generating Malware Analysis Reports Using Sandbox Logs.

Bo Sun, Akinori Fujino, Tatsuya Mori, Tao Ban, Takeshi Takahashi, Daisuke Inoue

IEICE Trans. Inf. Syst., 2018

Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering.

Igor Skrjanc, Seiichi Ozawa, Tao Ban, Dejan Dovzan

Appl. Soft Comput., 2018

Comprehensible Categorization and Visualization of Orchestrated Malicious Domain Names using Linkage Analysis.

Shin-Ying Huang, Tzu-Hsien Chuang, Shi-Meng Huang, Tao Ban

Proceedings of the 16th Annual Conference on Privacy, Security and Trust, 2018

A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning.

Naoki Hashimoto, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

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

Shaoning Pang, Lei Zhu, Tao Ban, Kazushi Ikeda, Wangfei Zhang, Abdolhossein Sarrafzadeh, Takeshi Takahashi, Daisuke Inoue

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Employ Decision Values for Soft-Classifier Evaluation with Crispy References.

Lei Zhu, Tao Ban, Takeshi Takahashi, Daisuke Inoue

Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Cross-Platform Study on IoT Malware.

Tao Ban, Ryoichi Isawa, Katsunari Yoshioka, Daisuke Inoue

Proceedings of the Eleventh International Conference on Mobile Computing and Ubiquitous Network, 2018

Evaluating Disassembly-Code Based Similarity between IoT Malware Samples.

Ryoichi Isawa, Tao Ban, Ying Tie, Katsunari Yoshioka, Daisuke Inoue

Proceedings of the 13th Asia Joint Conference on Information Security, 2018

2017

Malicious Events Grouping via Behavior Based Darknet Traffic Flow Analysis.

Shaoning Pang, Dan Komosny, Lei Zhu, Ruibin Zhang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue

Wirel. Pers. Commun., 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

Proceedings of the 2017 IEEE SmartWorld, 2017

Practical darknet traffic analysis: Methods and case studies.

Tao Ban, Daisuke Inoue

Proceedings of the 2017 IEEE SmartWorld, 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

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

NIVAnalyzer: A Tool for Automatically Detecting and Verifying Next-Intent Vulnerabilities in Android Apps.

Junjie Tang, Xingmin Cui, Ziming Zhao, Shanqing Guo, Xin-Shun Xu, Chengyu Hu, Tao Ban, Bing Mao

Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

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

Tao Ban, Lei Zhu, Jumpei Shimamura, Shaoning Pang, Daisuke Inoue, Koji Nakao

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

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

Lei Zhu, Shaoning Pang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue

IEEE Trans. Knowl. Data Eng., 2016

Towards Early Detection of Novel Attack Patterns through the Lens of a Large-Scale Darknet.

Tao Ban, Shaoning Pang, Masashi Eto, Daisuke Inoue, Koji Nakao, Runhe Huang

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Distributed incremental wLPSVM learning.

Lei Zhu, Tao Ban, Kazushi Ikeda, Paul Pang, Abdolhossein Sarrafzadeh

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Feature subset selection by SVM ensemble.

Tao Ban, Daisuke Inoue

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

The Usability of Metadata for Android Application Analysis.

Takeshi Takahashi, Tao Ban, Chin-Wei Tien, Chih-Hung Lin, Daisuke Inoue, Koji Nakao

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Integration of Multi-modal Features for Android Malware Detection Using Linear SVM.

Tao Ban, Takeshi Takahashi, Shanqing Guo, Daisuke Inoue, Koji Nakao

Proceedings of the 11th Asia Joint Conference on Information Security, 2016

2015

PaddyFrog: systematically detecting confused deputy vulnerability in Android applications.

Jianliang Wu, Tingting Cui, Tao Ban, Shanqing Guo, Lizhen Cui

Secur. Commun. Networks, 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

Proceedings of the INNS Conference on Big Data 2015, 2015

A federated network online network traffics analysis engine for cybersecurity.

Shaoning Pang, Yiming Peng, Tao Ban, Daisuke Inoue, Abdolhossein Sarrafzadeh

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A study on association rule mining of darknet big data.

Tao Ban, Masashi Eto, Shanqing Guo, Daisuke Inoue, Koji Nakao, Runhe Huang

Proceedings of the 2015 International Joint Conference on Neural Networks, 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

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Fine-Grained Risk Level Quantication Schemes Based on APK Metadata.

Takeshi Takahashi, Tao Ban, Takao Mimura, Koji Nakao

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

MonkeyDroid: Detecting Unreasonable Privacy Leakages of Android Applications.

Kai Ma, Mengyang Liu, Shanqing Guo, Tao Ban

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Adaptive DDoS-Event Detection from Big Darknet Traffic Data.

Nobuaki Furutani, Jun Kitazono, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

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

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

Shaoning Pang, Fan Liu, Youki Kadobayashi, Tao Ban, Daisuke Inoue

Cogn. Comput., 2014

Detecting Malicious Spam Mails: An Online Machine Learning Approach.

Yuli Dai, Shunsuke Tada, Tao Ban, Junji Nakazato, Jumpei Shimamura, Seiichi Ozawa

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets.

Nobuaki Furutani, Tao Ban, Junji Nakazato, Jumpei Shimamura, Jun Kitazono, Seiichi Ozawa

Proceedings of the Ninth Asia Joint Conference on Information Security, 2014

2013

Dynamic class imbalance learning for incremental LPSVM.

Shaoning Pang, Lei Zhu, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue

Neural Networks, 2013

User Travelling Pattern Prediction via Indistinct Cellular Data Mining.

Jingwei Wang, Neil Y. Yen, Bin Guo, Runhe Huang, Jianhua Ma, Tao Ban, Hong Zhao

Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013

Chunk incremental IDR/QR LDA learning.

Yiming Peng, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Application of string kernel based support vector machine for malware packer identification.

Tao Ban, Ryoichi Isawa, Shanqing Guo, Daisuke Inoue, Koji Nakao

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Referential kNN Regression for Financial Time Series Forecasting.

Tao Ban, Ruibin Zhang, Shaoning Pang, Abdolhossein Sarrafzadeh, Daisuke Inoue

Proceedings of the Neural Information Processing - 20th International Conference, 2013

An incremental learning approach to continuous image change detection.

Lei Song, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

Efficient Malware Packer Identification Using Support Vector Machines with Spectrum Kernel.

Tao Ban, Ryoichi Isawa, Shanqing Guo, Daisuke Inoue, Koji Nakao

Proceedings of the Eighth Asia Joint Conference on Information Security, 2013

2012

LDA Merging and Splitting With Applications to Multiagent Cooperative Learning and System Alteration.

Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov

IEEE Trans. Syst. Man Cybern. Part B, 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

A study on cost-effective P2P traffic classification.

Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

TrafficS: A Behavior-Based Network Traffic Classification Benchmark System with Traffic Sampling Functionality.

Xiaoyan Yan, Bo Liang, Tao Ban, Shanqing Guo, Liming Wang

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer.

Shaoning Pang, Fan Liu, Youki Kadobayashi, Tao Ban, Daisuke Inoue

Proceedings of the Neural Information Processing - 19th International Conference, 2012

SDE-Driven Service Provision Control.

Gang Chen, Shaoning Pang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Behavior Analysis of Long-term Cyber Attacks in the Darknet.

Tao Ban, Lei Zhu, Jumpei Shimamura, Shaoning Pang, Daisuke Inoue, Koji Nakao

Proceedings of the Neural Information Processing - 19th International Conference, 2012

A Fine-Grained Classification Approach for the Packed Malicious Code.

Shanqing Guo, Shuangshuang Li, Yan Yu, Anlei Hu, Tao Ban

Proceedings of the Information and Communications Security - 14th International Conference, 2012

2011

Personalized mode transductive spanning SVM classification tree.

Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov

Inf. Sci., 2011

Mining interlacing manifolds in high dimensional spaces.

Tao Ban, Changshui Zhang, Shigeo Abe, Takeshi Takahashi, Youki Kadobayashi

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Practical network traffic analysis in P2P environment.

Tao Ban, Shanqing Guo, Zonghua Zhang, Ruo Ando, Youki Kadobayashi

Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

Network Flow Classification Based on the Rhythm of Packets.

Liangxiong Li, Fengyu Wang, Tao Ban, Shanqing Guo, Bin Gong

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Entropy Based Discriminators for P2P Teletraffic Characterization.

Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Incremental and decremental LDA learning with applications.

Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov

Proceedings of the International Joint Conference on Neural Networks, 2010

Fast Implementation of String-Kernel-Based Support Vector Classifiers by GPU Computing.

Yongquan Shi, Tao Ban, Shanqing Guo, Qiuliang Xu, Youki Kadobayashi

Proceedings of the Neural Information Processing. Models and Applications, 2010

A Malware Detection Algorithm Based on Multi-view Fusion.

Shanqing Guo, Qixia Yuan, Fengbo Lin, Fengyu Wang, Tao Ban

Proceedings of the Neural Information Processing. Models and Applications, 2010

A Fast Kernel on Hierarchial Tree Structures and Its Application to Windows Application Behavior Analysis.

Tao Ban, Ruo Ando, Youki Kadobayashi

Proceedings of the Neural Information Processing. Models and Applications, 2010

2009

Guest editorial: Thematic issue on 'Adaptive Soft Computing Techniques and Applications'.

Shaoning Pang, Tao Ban

Memetic Comput., 2009

A new approach to discover interlacing data structures in high-dimensional space.

Tao Ban, Changshui Zhang, Shigeo Abe

J. Intell. Inf. Syst., 2009

Sparse kernel feature analysis using FastMap and its variants.

Tao Ban, Youki Kadobayashi, Shigeo Abe

Proceedings of the International Joint Conference on Neural Networks, 2009

A Provably Secure Two-Party Attribute-Based Key Agreement Protocol.

Hao Wang, Qiuliang Xu, Tao Ban

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

Identity Based Authenticated Key Agreement for Tree-Based Group.

Xiangfei Sun, Qiuliang Xu, Tao Ban

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

Perfect Forward Secure Two-Party Key Agreement Protocol with Key Escrow.

Mengbo Hou, Qiuliang Xu, Tao Ban

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

String Kernel Based SVM for Internet Security Implementation.

Zbynek Michlovský, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Hierarchical Core Vector Machines for Network Intrusion Detection.

Ye Chen, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi

Proceedings of the Neural Information Processing, 16th International Conference, 2009

AdaIndex: An Adaptive Index Structure for Fast Similarity Search in Metric Spaces.

Tao Ban, Shanqing Guo, Qiuliang Xu, Youki Kadobayashi

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Spanning SVM Tree for Personalized Transductive Learning.

Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov

Proceedings of the Artificial Neural Networks, 2009

2008

G-Means: A Clustering Algorithm for Intrusion Detection.

Zhonghua Zhao, Shanqing Guo, Qiuliang Xu, Tao Ban

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Anomaly Intrusion Detection for Evolving Data Stream Based on Semi-supervised Learning.

Yan Yu, Shanqing Guo, Shaohua Lan, Tao Ban

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Using Genetic Algorithm to Balance the D-Index Algorithm for Metric Search.

Tao Ban

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Implementing Multi-class Classifiers by One-class Classification Methods.

Tao Ban, Shigeo Abe

Proceedings of the International Joint Conference on Neural Networks, 2006