Tao Ban

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 64

Top Venues

Publications

Jiaxing Zhou, Tao Ban, Tomohiro Morikawa, Takeshi Takahashi, Daisuke Inoue
Color-coded Attribute Graph: Visual Exploration of Distinctive Traits of IoT-Malware Families. ISCC (2023)
Shota Kawanaka, Yoshikatsu Kashiwabara, Kohei Miyamoto, Masazumi Iida, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads. AsiaJCIS (2023)
Kohei Miyamoto, Masazumi Iida, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach. IEEE Access 11 (2023)
Harry Chandra Tanuwidjaja, Takeshi Takahashi, Tsung-Nan Lin, Boyi Lee, Tao Ban
Hybrid Explainable Intrusion Detection System: Global vs. Local Approach. ARTMAN@CCS (2023)
Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Akira Yamada, Takeshi Takahashi, Sangwook Kim, Daisuke Inoue
Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation. IEEE Access 11 (2023)
Chia-Yi Wu, Tao Ban, Shin-Ming Cheng, Takeshi Takahashi, Daisuke Inoue
IoT malware classification based on reinterpreted function-call graphs. Comput. Secur. 125 (2023)
Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue
Machine Learning-Based Security Alert Screening with Focal Loss. BigData (2023)
Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue
Critical-Threat-Alert Detection using Online Machine Learning. Big Data (2022)
Chun-I Fan, Cheng-Han Shie, Che-Ming Hsu, Tao Ban, Tomohiro Morikawa, Takeshi Takahashi
IoT Botnet Detection Based on the Behaviors of DNS Queries. DSC (2022)
Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue
Security-Alert Screening with Oversampling Based on Conditional Generative Adversarial Networks. AsiaJCIS (2022)
Kohei Miyamoto, Hiroki Goto, Ryosuke Ishibashi, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
Malicious Packet Classification Based on Neural Network Using Kitsune Features. ISPR (2022)
Ryosuke Ishibashi, Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems. IEEE Access 10 (2022)
Bo Sun, Takeshi Takahashi, Tao Ban, Daisuke Inoue
Detecting Android Malware and Classifying Its Families in Large-scale Datasets. ACM Trans. Manag. Inf. Syst. 13 (2) (2022)
Ryosuke Ishibashi, Hiroki Goto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
Which Packet Did They Catch? Associating NIDS Alerts with Their Communication Sessions. AsiaJCIS (2021)
Akira Fujita, Tao Ban, Takeshi Takahashi, Daisuke Inoue
On-premises Analysis of Advanced Threat Prevention Appliances. CSET @ USENIX Security Symposium (2021)
Masaki Aota, Tao Ban, Takeshi Takahashi, Noboru Murata
Multi-label Positive and Unlabeled Learning and its Application to Common Vulnerabilities and Exposure Categorization. TrustCom (2021)
Kohei Masumi, Chansu Han, Tao Ban, Takeshi Takahashi
Towards Efficient Labeling of Network Incident Datasets Using Tcpreplay and Snort. CODASPY (2021)
Bo Sun, Tao Ban, Chansu Han, Takeshi Takahashi, Katsunari Yoshioka, Jun'ichi Takeuchi, Abdolhossein Sarrafzadeh, Meikang Qiu, Daisuke Inoue
Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks. IEEE Access 9 (2021)
Chia-Yi Wu, Tao Ban, Shin-Ming Cheng, Bo Sun, Takeshi Takahashi
IoT Malware Detection Using Function-Call-Graph Embedding. PST (2021)
Takeshi Takahashi, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi
Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines? PerCom Workshops (2021)
Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue
A Machine Learning Approach to Detection of Critical Alerts from Imbalanced Multi-Appliance Threat Alert Logs. IEEE BigData (2021)
Tao Ban, Samuel Ndichu, Takeshi Takahashi, Daisuke Inoue
Combat Security Alert Fatigue with AI-Assisted Techniques. CSET @ USENIX Security Symposium (2021)
Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Sangwook Kim, Takeshi Takahashi, Daisuke Inoue
JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism. ICONIP (2) (2021)
Ruei-Hau Hsu, Yi-Cheng Wang, Chun-I Fan, Bo Sun, Tao Ban, Takeshi Takahashi, Ting-Wei Wu, Shang-Wei Kao
A Privacy-Preserving Federated Learning System for Android Malware Detection Based on Edge Computing. AsiaJCIS (2020)
Seiichi Ozawa, Tao Ban, Naoki Hashimoto, Junji Nakazato, Jumpei Shimamura
A study of IoT malware activities using association rule learning for darknet sensor data. Int. J. Inf. Sec. 19 (1) (2020)
Tzu-Ling Wan, Tao Ban, Shin-Ming Cheng, Yen-Ting Lee, Bo Sun, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue
Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files. IEEE Open J. Comput. Soc. 1 (2020)
Shaoning Pang, Tao Ban, Youki Kadobayashi, Jungsuk Song, Kaizhu Huang, Geongsen Poh, Iqbal Gondal, Kitsuchart Pasupa, Fadi A. Aloul
CDMC'19 - The 10th International Cybersecurity Data Mining Competition. ICONIP (2) (2020)
Shintaro Ishikawa, Seiichi Ozawa, Tao Ban
Port-Piece Embedding for Darknet Traffic Features and Clustering of Scan Attacks. ICONIP (2) (2020)
Tzu-Ling Wan, Tao Ban, Yen-Ting Lee, Shin-Ming Cheng, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue
IoT-Malware Detection Based on Byte Sequences of Executable Files. AsiaJCIS (2020)
Shin-Ying Huang, Tao Ban
Monitoring Social Media for Vulnerability-Threat Prediction and Topic Analysis. TrustCom (2020)
Muhamad Erza Aminanto, Tao Ban, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue
Threat Alert Prioritization Using Isolation Forest and Stacked Auto Encoder With Day-Forward-Chaining Analysis. IEEE Access 8 (2020)
Yen-Ting Lee, Tao Ban, Tzu-Ling Wan, Shin-Ming Cheng, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue
Cross Platform IoT- Malware Family Classification based on Printable Strings. TrustCom (2020)
Shin-Ming Cheng, Tao Ban, Jr-Wei Huang, Bing-Kai Hong, Daisuke Inoue
ELF Analyzer Demo: Online Identification for IoT Malwares with Multiple Hardware Architectures. SP Workshops (2020)
Bing-Kai Hong, Jr-Wei Huang, Tao Ban, Ryoichi Isawa, Shin-Ming Cheng, Daisuke Inoue, Koji Nakao
Measurement Study Towards a Unified Firmware Updating Scheme for Legacy IoT Devices. AsiaJCIS (2019)
Muhamad Erza Aminanto, Lei Zhu, Tao Ban, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue
Automated Threat-Alert Screening for Battling Alert Fatigue with Temporal Isolation Forest. PST (2019)
Tao Ban, Ryoichi Isawa, Shin-Ying Huang, Katsunari Yoshioka, Daisuke Inoue
A Cross-Platform Study on Emerging Malicious Programs Targeting IoT Devices. IEICE Trans. Inf. Syst. (9) (2019)
Guanbo Jia, Paul Miller, Xin Hong, Harsha K. Kalutarage, Tao Ban
Anomaly Detection in Network Traffic Using Dynamic Graph Mining with a Sparse Autoencoder. TrustCom/BigDataSE (2019)
Ryutaro Ushigome, Mio Suzuki, Tao Ban, Takeshi Takahashi, Daisuke Inoue, Takeshi Matsuda, Michio Sonoda
Establishing Trusted and Timely Information Source using Social Media Services. CCNC (2019)
Shin-Ying Huang, Tzu-Hsien Chuang, Shi-Meng Huang, Tao Ban
Malicious URL Linkage Analysis and Common Pattern Discovery. IEEE BigData (2019)
Bo Sun, Tao Ban, Shun-Chieh Chang, Yeali S. Sun, Takeshi Takahashi, Daisuke Inoue
A scalable and accurate feature representation method for identifying malicious mobile applications. SAC (2019)
Shin-Ying Huang, Tao Ban
A Topic-Based Unsupervised Learning Approach for Online Underground Market Exploration. TrustCom/BigDataSE (2019)
Muhamad Erza Aminanto, Lei Zhu, Tao Ban, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue
Combating Threat-Alert Fatigue with Online Anomaly Detection Using Isolation Forest. ICONIP (1) (2019)
Igor Skrjanc, Seiichi Ozawa, Tao Ban, Dejan Dovzan
Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering. Appl. Soft Comput. 62 (2018)
Shin-Ying Huang, Tzu-Hsien Chuang, Shi-Meng Huang, Tao Ban
Comprehensible Categorization and Visualization of Orchestrated Malicious Domain Names using Linkage Analysis. PST (2018)
Tao Ban, Ryoichi Isawa, Katsunari Yoshioka, Daisuke Inoue
A Cross-Platform Study on IoT Malware. ICMU (2018)
Lei Zhu, Kazushi Ikeda, Shaoning Pang, Tao Ban, Abdolhossein Sarrafzadeh
Merging weighted SVMs for parallel incremental learning. Neural Networks 100 (2018)
Ryoichi Isawa, Tao Ban, Ying Tie, Katsunari Yoshioka, Daisuke Inoue
Evaluating Disassembly-Code Based Similarity between IoT Malware Samples. AsiaJCIS (2018)
Lei Zhu, Tao Ban, Takeshi Takahashi, Daisuke Inoue
Employ Decision Values for Soft-Classifier Evaluation with Crispy References. ICONIP (4) (2018)
Bo Sun, Akinori Fujino, Tatsuya Mori, Tao Ban, Takeshi Takahashi, Daisuke Inoue
Automatically Generating Malware Analysis Reports Using Sandbox Logs. IEICE Trans. Inf. Syst. (11) (2018)
Shaoning Pang, Lei Zhu, Tao Ban, Kazushi Ikeda, Wangfei Zhang, Abdolhossein Sarrafzadeh, Takeshi Takahashi, Daisuke Inoue
Online Max-flow Learning via Augmenting and De-augmenting Path. IJCNN (2018)
Naoki Hashimoto, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura
A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning. INNS Conference on Big Data (2018)
Takahiro Konno, Runhe Huang, Tao Ban, Chuanhe Huang
Goods recommendation based on retail knowledge in a Neo4j graph database combined with an inference mechanism implemented in jess. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Tao Ban, Daisuke Inoue
Practical darknet traffic analysis: Methods and case studies. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Igor Skrjanc, Seiichi Ozawa, Dejan Dovzan, Tao Ban, Junji Nakazato, Jumpei Shimamura
Evolving cauchy possibilistic clustering and its application to large-scale cyberattack monitoring. SSCI (2017)
Junjie Tang, Xingmin Cui, Ziming Zhao, Shanqing Guo, Xin-Shun Xu, Chengyu Hu, Tao Ban, Bing Mao
NIVAnalyzer: A Tool for Automatically Detecting and Verifying Next-Intent Vulnerabilities in Android Apps. ICST (2017)
Tao Ban, Lei Zhu, Jumpei Shimamura, Shaoning Pang, Daisuke Inoue, Koji Nakao
Detection of Botnet Activities Through the Lens of a Large-Scale Darknet. ICONIP (5) (2017)
Shaoning Pang, Dan Komosny, Lei Zhu, Ruibin Zhang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
Malicious Events Grouping via Behavior Based Darknet Traffic Flow Analysis. Wirel. Pers. Commun. 96 (4) (2017)
Tao Ban, Shaoning Pang, Masashi Eto, Daisuke Inoue, Koji Nakao, Runhe Huang
Towards Early Detection of Novel Attack Patterns through the Lens of a Large-Scale Darknet. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016)
Tao Ban, Daisuke Inoue
Feature subset selection by SVM ensemble. SSCI (2016)
Siti Hajar Aminah Ali, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura
A neural network model for detecting DDoS attacks using darknet traffic features. IJCNN (2016)
Tao Ban, Takeshi Takahashi, Shanqing Guo, Daisuke Inoue, Koji Nakao
Integration of Multi-modal Features for Android Malware Detection Using Linear SVM. AsiaJCIS (2016)
Lei Zhu, Tao Ban, Kazushi Ikeda, Paul Pang, Abdolhossein Sarrafzadeh
Distributed incremental wLPSVM learning. SSCI (2016)
Takeshi Takahashi, Tao Ban, Chin-Wei Tien, Chih-Hung Lin, Daisuke Inoue, Koji Nakao
The Usability of Metadata for Android Application Analysis. ICONIP (1) (2016)
Lei Zhu, Shaoning Pang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
Incremental and Decremental Max-Flow for Online Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 28 (8) (2016)
Tao Ban, Masashi Eto, Shanqing Guo, Daisuke Inoue, Koji Nakao, Runhe Huang
A study on association rule mining of darknet big data. IJCNN (2015)
Nobuaki Furutani, Jun Kitazono, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura
Adaptive DDoS-Event Detection from Big Darknet Traffic Data. ICONIP (4) (2015)
Shaoning Pang, Yiming Peng, Tao Ban, Daisuke Inoue, Abdolhossein Sarrafzadeh
A federated network online network traffics analysis engine for cybersecurity. IJCNN (2015)
Hironori Nishikaze, Seiichi Ozawa, Jun Kitazono, Tao Ban, Junji Nakazato, Jumpei Shimamura
Large-Scale Monitoring for Cyber Attacks by Using Cluster Information on Darknet Traffic Features. INNS Conference on Big Data (2015)
Siti Hajar Aminah Ali, Seiichi Ozawa, Junji Nakazato, Tao Ban, Jumpei Shimamura
An autonomous online malicious spam email detection system using extended RBF network. IJCNN (2015)
Jianliang Wu, Tingting Cui, Tao Ban, Shanqing Guo, Lizhen Cui
PaddyFrog: systematically detecting confused deputy vulnerability in Android applications. Secur. Commun. Networks 8 (13) (2015)
Kai Ma, Mengyang Liu, Shanqing Guo, Tao Ban
MonkeyDroid: Detecting Unreasonable Privacy Leakages of Android Applications. ICONIP (3) (2015)
Takeshi Takahashi, Tao Ban, Takao Mimura, Koji Nakao
Fine-Grained Risk Level Quantication Schemes Based on APK Metadata. ICONIP (3) (2015)
Yuli Dai, Shunsuke Tada, Tao Ban, Junji Nakazato, Jumpei Shimamura, Seiichi Ozawa
Detecting Malicious Spam Mails: An Online Machine Learning Approach. ICONIP (3) (2014)
Nobuaki Furutani, Tao Ban, Junji Nakazato, Jumpei Shimamura, Jun Kitazono, Seiichi Ozawa
Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets. AsiaJCIS (2014)
Ryoichi Isawa, Tao Ban, Shanqing Guo, Daisuke Inoue, Koji Nakao
An Accurate Packer Identification Method Using Support Vector Machine. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (1) (2014)
Shaoning Pang, Fan Liu, Youki Kadobayashi, Tao Ban, Daisuke Inoue
A Learner-Independent Knowledge Transfer Approach to Multi-task Learning. Cogn. Comput. 6 (3) (2014)
Shaoning Pang, Lei Zhu, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
Dynamic class imbalance learning for incremental LPSVM. Neural Networks 44 (2013)
Tao Ban, Ryoichi Isawa, Shanqing Guo, Daisuke Inoue, Koji Nakao
Efficient Malware Packer Identification Using Support Vector Machines with Spectrum Kernel. AsiaJCIS (2013)
Lei Song, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
An incremental learning approach to continuous image change detection. FSKD (2013)
Jingwei Wang, Neil Y. Yen, Bin Guo, Runhe Huang, Jianhua Ma, Tao Ban, Hong Zhao
User Travelling Pattern Prediction via Indistinct Cellular Data Mining. UIC/ATC (2013)
Yiming Peng, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
Chunk incremental IDR/QR LDA learning. IJCNN (2013)
Tao Ban, Ruibin Zhang, Shaoning Pang, Abdolhossein Sarrafzadeh, Daisuke Inoue
Referential kNN Regression for Financial Time Series Forecasting. ICONIP (1) (2013)
Tao Ban, Ryoichi Isawa, Shanqing Guo, Daisuke Inoue, Koji Nakao
Application of string kernel based support vector machine for malware packer identification. IJCNN (2013)
Gang Chen, Shaoning Pang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
SDE-Driven Service Provision Control. ICONIP (1) (2012)
Shaoning Pang, Fan Liu, Youki Kadobayashi, Tao Ban, Daisuke Inoue
Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer. ICONIP (1) (2012)
Xiaoyan Yan, Bo Liang, Tao Ban, Shanqing Guo, Liming Wang
TrafficS: A Behavior-Based Network Traffic Classification Benchmark System with Traffic Sampling Functionality. ICONIP (4) (2012)
Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao
A study on cost-effective P2P traffic classification. IJCNN (2012)
Shanqing Guo, Shuangshuang Li, Yan Yu, Anlei Hu, Tao Ban
A Fine-Grained Classification Approach for the Packed Malicious Code. ICICS (2012)
Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao
Towards Cost-Effective P2P Traffic Classification in Cloud Environment. IEICE Trans. Inf. Syst. (12) (2012)
Tao Ban, Lei Zhu, Jumpei Shimamura, Shaoning Pang, Daisuke Inoue, Koji Nakao
Behavior Analysis of Long-term Cyber Attacks in the Darknet. ICONIP (5) (2012)
Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov
LDA Merging and Splitting With Applications to Multiagent Cooperative Learning and System Alteration. IEEE Trans. Syst. Man Cybern. Part B 42 (2) (2012)
Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov
Personalized mode transductive spanning SVM classification tree. Inf. Sci. 181 (11) (2011)
Tao Ban, Shanqing Guo, Zonghua Zhang, Ruo Ando, Youki Kadobayashi
Practical network traffic analysis in P2P environment. IWCMC (2011)
Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao
Entropy Based Discriminators for P2P Teletraffic Characterization. ICONIP (2) (2011)
Liangxiong Li, Fengyu Wang, Tao Ban, Shanqing Guo, Bin Gong
Network Flow Classification Based on the Rhythm of Packets. ICONIP (2) (2011)
Tao Ban, Changshui Zhang, Shigeo Abe, Takeshi Takahashi, Youki Kadobayashi
Mining interlacing manifolds in high dimensional spaces. SAC (2011)
Shanqing Guo, Qixia Yuan, Fengbo Lin, Fengyu Wang, Tao Ban
A Malware Detection Algorithm Based on Multi-view Fusion. ICONIP (2) (2010)
Tao Ban, Ruo Ando, Youki Kadobayashi
A Fast Kernel on Hierarchial Tree Structures and Its Application to Windows Application Behavior Analysis. ICONIP (2) (2010)
Yongquan Shi, Tao Ban, Shanqing Guo, Qiuliang Xu, Youki Kadobayashi
Fast Implementation of String-Kernel-Based Support Vector Classifiers by GPU Computing. ICONIP (2) (2010)
Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov
Incremental and decremental LDA learning with applications. IJCNN (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tao Ban