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S. Ndichu
Title
Cited by
Cited by
Year
A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors
S Ndichu, S Kim, S Ozawa, T Misu, K Makishima
Applied Soft Computing 84, 105721, 2019
792019
Combat security alert fatigue with AI-assisted techniques
T Ban, N Samuel, T Takahashi, D Inoue
Cyber Security Experimentation and Test Workshop, 9-16, 2021
572021
Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement
S Ndichu, S Kim, S Ozawa
CAAI Transactions on Intelligence Technology 5 (3), 184-192, 2020
492020
Breaking Alert Fatigue: AI-Assisted SIEM Framework for Effective Incident Response
T Ban, T Takahashi, S Ndichu, D Inoue
Applied Sciences 13 (11), 6610, 2023
372023
A machine learning approach to malicious JavaScript detection using fixed length vector representation
S Ndichu, S Ozawa, T Misu, K Okada
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
372018
A remote access security model based on vulnerability management
S Ndichu, S McOyowo, H Okoyo, C Wekesa
Modern Education & Computer science Press, 2020
282020
A Machine Learning Approach to Detection of Critical Alerts from Imbalanced Multi-Appliance Threat Alert Logs
S Ndichu, T Ban, T Takahashi, D Inoue
2021 IEEE International Conference on Big Data (Big Data), 2119-2127, 2021
202021
AI-Assisted Security Alert Data Analysis with Imbalanced Learning Methods
S Ndichu, T Ban, T Takahashi, D Inoue
Applied Sciences 13 (3), 1977, 2023
132023
Deobfuscation, unpack-465 ing, and decoding of obfuscated malicious JavaScript for 466 machine learning models detection performance improve-467 ment [J]
S Ndichu, S Kim, S Ozawa
CAAI Transactions on Intelligence Technology 468 (5), 3, 2020
13*2020
A domains approach to remote access logical vulnerabilities classification
S Ndichu, S McOyowo, H Okoyo, C Wekesa
International Journal of Computer Network and Information Security 10 (11), 36, 2019
92019
Security-Alert Screening with Oversampling Based on Conditional Generative Adversarial Networks
S Ndichu, T Ban, T Takahashi, D Inoue
2022 17th Asia Joint Conference on Information Security (AsiaJCIS), 1-7, 2022
82022
Detecting Web-Based Attacks with SHAP and Tree Ensemble Machine Learning Methods
S Ndichu, S Kim, S Ozawa, T Ban, T Takahashi, D Inoue
Applied Sciences 12 (1), 60, 2021
72021
Critical-Threat-Alert Detection using Online Machine Learning
S Ndichu, T Ban, T Takahashi, D Inoue
2022 IEEE International Conference on Big Data (Big Data), 3007-3014, 2022
52022
A Review of Security Vulnerabilities, Controls and Models in Networked Environments
S Ndichu, S McOyowo, C Wekesa
International Journal of Latest Research in Engineering and Technology …, 2016
32016
Detecting Remote Access Network Attacks Using Supervised Machine Learning Methods
S Ndichu, S McOyowo, H Okoyo, C Wekesa
International Journal of Computer Network and Information Security 11 (2), 48, 2023
22023
S. Ndichu, S. Ozawa, T. Misu, K. Okada
O Ndichu
A machine learning approach to malicious JavaScript detection using fixed …, 2018
22018
Machine Learning–Based Security Alert Screening with Focal Loss
S Ndichu, T Ban, T Takahashi, D Inoue
2023 IEEE International Conference on Big Data (BigData), 3043-3052, 2023
12023
Web Based Integrated Evaluation Framework for Information Security Preparedness in Law Enforcement Agencies
S Ndichu, P Ogao
International Journal of Computer Science and Information Security (IJCSIS …, 2016
12016
CIA-EBE: Class Imbalance-Aware Event-Based Embedding for SOC Log Screening
S Ndichu, T Ban, T Takahashi, T Kasama
2024 IEEE International Conference on Big Data (BigData), 2653-2662, 2024
2024
Adversarial Evaluation of AI-Based Security Alert Screening Systems
S Ndichu, T Ban, T Takahashi, A Yamada, S Ozawa, D Inoue
2024 IEEE Cyber Science and Technology Congress (CyberSciTech), 115-124, 2024
2024
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Articles 1–20