Samuel Ndichu

According to our database, Samuel Ndichu authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

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

2020

Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement.

Samuel Ndichu, Sangwook Kim, Seiichi Ozawa

CAAI Trans. Intell. Technol., 2020

2019

A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors.

Samuel Ndichu, Sangwook Kim, Seiichi Ozawa, Takeshi Misu, Kazuo Makishima

Appl. Soft Comput., 2019

2018

A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation.

Samuel Ndichu, Seiichi Ozawa, Takeshi Misu, Kouichirou Okada

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