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2020 – today
- 2024
[j25]Muhammad Fakhrur Rozi
, Tao Ban, Seiichi Ozawa, Akira Yamada, Takeshi Takahashi, Daisuke Inoue:
Securing Code With Context: Enhancing Vulnerability Detection Through Contextualized Graph Representations. IEEE Access 12: 142101-142126 (2024)- 2023
- [j24]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: 102727-102745 (2023) - [j23]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: 132792-132810 (2023) - [j22]Chia-Yi Wu, Tao Ban, Shin-Ming Cheng, Takeshi Takahashi, Daisuke Inoue:
IoT malware classification based on reinterpreted function-call graphs. Comput. Secur. 125: 103060 (2023) - [c90]Harry Chandra Tanuwidjaja, Takeshi Takahashi, Tsung-Nan Lin, Boyi Lee, Tao Ban:
Hybrid Explainable Intrusion Detection System: Global vs. Local Approach. ARTMAN@CCS 2023: 37-42 - [c89]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: 88-94 - [c88]Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
Machine Learning-Based Security Alert Screening with Focal Loss. IEEE Big Data 2023: 3043-3052 - [c87]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: 1410-1416 - 2022
- [j21]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: 53972-53986 (2022) - [j20]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): 12:1-12:21 (2022) - [c86]Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
Security-Alert Screening with Oversampling Based on Conditional Generative Adversarial Networks. AsiaJCIS 2022: 1-7 - [c85]Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
Critical-Threat-Alert Detection using Online Machine Learning. IEEE Big Data 2022: 3007-3014 - [c84]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: 1-7 - [c83]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: 306-314 - 2021
- [j19]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: 87962-87971 (2021) - [c82]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: 9-16 - [c81]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: 2119-2127 - [c80]Kohei Masumi, Chansu Han, Tao Ban, Takeshi Takahashi:
Towards Efficient Labeling of Network Incident Datasets Using Tcpreplay and Snort. CODASPY 2021: 329-331 - [c79]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: 669-680 - [c78]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: 376-379 - [c77]Chia-Yi Wu, Tao Ban, Shin-Ming Cheng, Bo Sun, Takeshi Takahashi:
IoT Malware Detection Using Function-Call-Graph Embedding. PST 2021: 1-9 - [c76]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: 988-996 - [c75]Akira Fujita, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
On-premises Analysis of Advanced Threat Prevention Appliances. CSET @ USENIX Security Symposium 2021: 1-8 - [c74]Tao Ban, Samuel Ndichu, Takeshi Takahashi, Daisuke Inoue:
Combat Security Alert Fatigue with AI-Assisted Techniques. CSET @ USENIX Security Symposium 2021: 9-16 - 2020
- [j18]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: 217977-217986 (2020) - [j17]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): 83-92 (2020) - [j16]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: 262-275 (2020) - [c73]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: 128-136 - [c72]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: 143-150 - [c71]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: 235-245 - [c70]Shintaro Ishikawa, Seiichi Ozawa, Tao Ban:
Port-Piece Embedding for Darknet Traffic Features and Clustering of Scan Attacks. ICONIP (2) 2020: 593-603 - [c69]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: 126 - [c68]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: 775-784 - [c67]Shin-Ying Huang, Tao Ban:
Monitoring Social Media for Vulnerability-Threat Prediction and Topic Analysis. TrustCom 2020: 1771-1776
2010 – 2019
- 2019
- [j15]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. 102-D(9): 1683-1685 (2019) - [c66]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: 9-15 - [c65]Shin-Ying Huang, Tzu-Hsien Chuang, Shi-Meng Huang, Tao Ban:
Malicious URL Linkage Analysis and Common Pattern Discovery. IEEE BigData 2019: 3172-3179 - [c64]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: 1-2 - [c63]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: 756-765 - [c62]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: 1-3 - [c61]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: 1182-1189 - [c60]Shin-Ying Huang, Tao Ban:
A Topic-Based Unsupervised Learning Approach for Online Underground Market Exploration. TrustCom/BigDataSE 2019: 208-215 - [c59]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: 458-465 - 2018
- [j14]Igor Skrjanc, Seiichi Ozawa, Tao Ban, Dejan Dovzan:
Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering. Appl. Soft Comput. 62: 592-601 (2018) - [j13]Bo Sun, Akinori Fujino, Tatsuya Mori, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
Automatically Generating Malware Analysis Reports Using Sandbox Logs. IEICE Trans. Inf. Syst. 101-D(11): 2622-2632 (2018) - [j12]Lei Zhu, Kazushi Ikeda, Shaoning Pang, Tao Ban, Abdolhossein Sarrafzadeh:
Merging weighted SVMs for parallel incremental learning. Neural Networks 100: 25-38 (2018) - [c58]Ryoichi Isawa, Tao Ban, Ying Tie, Katsunari Yoshioka, Daisuke Inoue:
Evaluating Disassembly-Code Based Similarity between IoT Malware Samples. AsiaJCIS 2018: 89-94 - [c57]Tao Ban, Ryoichi Isawa, Katsunari Yoshioka, Daisuke Inoue:
A Cross-Platform Study on IoT Malware. ICMU 2018: 1-2 - [c56]Lei Zhu, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
Employ Decision Values for Soft-Classifier Evaluation with Crispy References. ICONIP (4) 2018: 392-402 - [c55]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: 1-8 - [c54]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: 118-123 - [c53]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: 1-2 - 2017
- [j11]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): 5335-5353 (2017) - [c52]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: 442-451 - [c51]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: 492-499 - [c50]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: 1-7 - [c49]Tao Ban, Daisuke Inoue:
Practical darknet traffic analysis: Methods and case studies. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - [c48]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: 1-8 - 2016
- [j10]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): 2115-2127 (2016) - [c47]Tao Ban, Takeshi Takahashi, Shanqing Guo, Daisuke Inoue, Koji Nakao:
Integration of Multi-modal Features for Android Malware Detection Using Linear SVM. AsiaJCIS 2016: 141-146 - [c46]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: 546-554 - [c45]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: 2979-2985 - [c44]Tao Ban, Daisuke Inoue:
Feature subset selection by SVM ensemble. SSCI 2016: 1-8 - [c43]Lei Zhu, Tao Ban, Kazushi Ikeda, Paul Pang, Abdolhossein Sarrafzadeh:
Distributed incremental wLPSVM learning. SSCI 2016: 1-8 - [c42]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: 341-349 - 2015
- [j9]Jianliang Wu, Tingting Cui, Tao Ban, Shanqing Guo, Lizhen Cui:
PaddyFrog: systematically detecting confused deputy vulnerability in Android applications. Secur. Commun. Networks 8(13): 2338-2349 (2015) - [c41]Nobuaki Furutani, Jun Kitazono, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura:
Adaptive DDoS-Event Detection from Big Darknet Traffic Data. ICONIP (4) 2015: 376-383 - [c40]Kai Ma, Mengyang Liu, Shanqing Guo, Tao Ban:
MonkeyDroid: Detecting Unreasonable Privacy Leakages of Android Applications. ICONIP (3) 2015: 384-391 - [c39]Takeshi Takahashi, Tao Ban, Takao Mimura, Koji Nakao:
Fine-Grained Risk Level Quantication Schemes Based on APK Metadata. ICONIP (3) 2015: 663-673 - [c38]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: 1-7 - [c37]Tao Ban, Masashi Eto, Shanqing Guo, Daisuke Inoue, Koji Nakao, Runhe Huang:
A study on association rule mining of darknet big data. IJCNN 2015: 1-7 - [c36]Shaoning Pang, Yiming Peng, Tao Ban, Daisuke Inoue, Abdolhossein Sarrafzadeh:
A federated network online network traffics analysis engine for cybersecurity. IJCNN 2015: 1-8 - [c35]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: 175-182 - 2014
- [j8]Shaoning Pang, Fan Liu, Youki Kadobayashi, Tao Ban, Daisuke Inoue:
A Learner-Independent Knowledge Transfer Approach to Multi-task Learning. Cogn. Comput. 6(3): 304-320 (2014) - [j7]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. 97-A(1): 253-263 (2014) - [c34]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: 39-43 - [c33]Yuli Dai, Shunsuke Tada, Tao Ban, Junji Nakazato, Jumpei Shimamura, Seiichi Ozawa:
Detecting Malicious Spam Mails: An Online Machine Learning Approach. ICONIP (3) 2014: 365-372 - 2013
- [j6]Shaoning Pang, Lei Zhu, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
Dynamic class imbalance learning for incremental LPSVM. Neural Networks 44: 87-100 (2013) - [c32]Tao Ban, Ryoichi Isawa, Shanqing Guo, Daisuke Inoue, Koji Nakao:
Efficient Malware Packer Identification Using Support Vector Machines with Spectrum Kernel. AsiaJCIS 2013: 69-76 - [c31]Lei Song, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
An incremental learning approach to continuous image change detection. FSKD 2013: 747-752 - [c30]Tao Ban, Ruibin Zhang, Shaoning Pang, Abdolhossein Sarrafzadeh, Daisuke Inoue:
Referential kNN Regression for Financial Time Series Forecasting. ICONIP (1) 2013: 601-608 - [c29]Tao Ban, Ryoichi Isawa, Shanqing Guo, Daisuke Inoue, Koji Nakao:
Application of string kernel based support vector machine for malware packer identification. IJCNN 2013: 1-8 - [c28]Yiming Peng, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
Chunk incremental IDR/QR LDA learning. IJCNN 2013: 1-8 - [c27]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: 17-24 - 2012
- [j5]Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao:
Towards Cost-Effective P2P Traffic Classification in Cloud Environment. IEICE Trans. Inf. Syst. 95-D(12): 2888-2897 (2012) - [j4]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): 552-564 (2012) - [c26]Shanqing Guo, Shuangshuang Li, Yan Yu, Anlei Hu, Tao Ban:
A Fine-Grained Classification Approach for the Packed Malicious Code. ICICS 2012: 497-504 - [c25]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: 100-107 - [c24]Gang Chen, Shaoning Pang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
SDE-Driven Service Provision Control. ICONIP (1) 2012: 260-268 - [c23]Shaoning Pang, Fan Liu, Youki Kadobayashi, Tao Ban, Daisuke Inoue:
Training Minimum Enclosing Balls for Cross Tasks Knowledge Transfer. ICONIP (1) 2012: 375-382 - [c22]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: 620-628 - [c21]Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao:
A study on cost-effective P2P traffic classification. IJCNN 2012: 1-7 - 2011
- [j3]Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov:
Personalized mode transductive spanning SVM classification tree. Inf. Sci. 181(11): 2071-2085 (2011) - [c20]Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao:
Entropy Based Discriminators for P2P Teletraffic Characterization. ICONIP (2) 2011: 18-27 - [c19]Liangxiong Li, Fengyu Wang, Tao Ban, Shanqing Guo, Bin Gong:
Network Flow Classification Based on the Rhythm of Packets. ICONIP (2) 2011: 45-52 - [c18]Tao Ban, Shanqing Guo, Zonghua Zhang, Ruo Ando, Youki Kadobayashi:
Practical network traffic analysis in P2P environment. IWCMC 2011: 1801-1807 - [c17]Tao Ban, Changshui Zhang, Shigeo Abe, Takeshi Takahashi, Youki Kadobayashi:
Mining interlacing manifolds in high dimensional spaces. SAC 2011: 942-949 - 2010
- [c16]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: 143-151 - [c15]Shanqing Guo, Qixia Yuan, Fengbo Lin, Fengyu Wang, Tao Ban:
A Malware Detection Algorithm Based on Multi-view Fusion. ICONIP (2) 2010: 259-266 - [c14]Tao Ban, Ruo Ando, Youki Kadobayashi:
A Fast Kernel on Hierarchial Tree Structures and Its Application to Windows Application Behavior Analysis. ICONIP (2) 2010: 267-274 - [c13]Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov:
Incremental and decremental LDA learning with applications. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j2]Tao Ban, Changshui Zhang, Shigeo Abe:
A new approach to discover interlacing data structures in high-dimensional space. J. Intell. Inf. Syst. 33(1): 3-22 (2009) - [j1]Shaoning Pang, Tao Ban:
Guest editorial: Thematic issue on 'Adaptive Soft Computing Techniques and Applications'. Memetic Comput. 1(4): 239-240 (2009) - [c12]Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov:
Spanning SVM Tree for Personalized Transductive Learning. ICANN (1) 2009: 913-922 - [c11]Ye Chen, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi:
Hierarchical Core Vector Machines for Network Intrusion Detection. ICONIP (2) 2009: 520-529 - [c10]Zbynek Michlovský, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi:
String Kernel Based SVM for Internet Security Implementation. ICONIP (2) 2009: 530-539 - [c9]Tao Ban, Shanqing Guo, Qiuliang Xu, Youki Kadobayashi:
AdaIndex: An Adaptive Index Structure for Fast Similarity Search in Metric Spaces. ICONIP (2) 2009: 729-737 - [c8]Mengbo Hou, Qiuliang Xu, Tao Ban:
Perfect Forward Secure Two-Party Key Agreement Protocol with Key Escrow. IIH-MSP 2009: 644-647 - [c7]Xiangfei Sun, Qiuliang Xu, Tao Ban:
Identity Based Authenticated Key Agreement for Tree-Based Group. IIH-MSP 2009: 941-944 - [c6]Hao Wang, Qiuliang Xu, Tao Ban:
A Provably Secure Two-Party Attribute-Based Key Agreement Protocol. IIH-MSP 2009: 1042-1045 - [c5]Tao Ban, Youki Kadobayashi, Shigeo Abe:
Sparse kernel feature analysis using FastMap and its variants. IJCNN 2009: 256-263 - 2008
- [c4]Zhonghua Zhao, Shanqing Guo, Qiuliang Xu, Tao Ban:
G-Means: A Clustering Algorithm for Intrusion Detection. ICONIP (1) 2008: 563-570 - [c3]Yan Yu, Shanqing Guo, Shaohua Lan, Tao Ban:
Anomaly Intrusion Detection for Evolving Data Stream Based on Semi-supervised Learning. ICONIP (1) 2008: 571-578 - 2007
- [c2]Tao Ban:
Using Genetic Algorithm to Balance the D-Index Algorithm for Metric Search. ICONIP (2) 2007: 264-273 - 2006
- [c1]Tao Ban, Shigeo Abe:
Implementing Multi-class Classifiers by One-class Classification Methods. IJCNN 2006: 327-332
Coauthor Index
[j25] [j24] [j22] [c88] [c87] [j20] [c86] [c85] [j19] [c81] [c79] [c75] [c74] [j18] [j16] [c72] [c69] [c68] [j15] [c66] [c64] [c63] [c62] [c61] [j13] [c58] [c57] [c56] [c55] [j11] [c52] [c49] [j10] [c47] [c46] [c44] [c42] [c37] [c36] [j8] [j7] [j6] [c32] [c31] [c30] [c29] [c28] [j5] [c24] [c23] [c22] [c21] [c20]
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last updated on 2024-10-23 21:25 CEST by the dblp team
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