Samuel Ndichu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Machine Learning

Detecting Malicious

Security Issues

Cervical Cancer

Top Venues

CAAI Trans. Intell. Technol.

Publications

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)
Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue
Security-Alert Screening with Oversampling Based on Conditional Generative Adversarial Networks. AsiaJCIS (2022)
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)
Samuel Ndichu, Sangwook Kim, Seiichi Ozawa
Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement. CAAI Trans. Intell. Technol. 5 (3) (2020)
Samuel Ndichu, Sangwook Kim, Seiichi Ozawa, Takeshi Misu, Kazuo Makishima
A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors. Appl. Soft Comput. 84 (2019)
Samuel Ndichu, Seiichi Ozawa, Takeshi Misu, Kouichirou Okada
A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation. IJCNN (2018)