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Home/Authors/Takeshi Takahashi

Takeshi Takahashi

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

Crypto×4Info Retrieval×2ML×2

Frequent co-authors

Samuel Ndichu4×
Tao Ban4×
Seiichi Ozawa4×
Daisuke Inoue4×

Research Timeline

2026
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Survey

This survey reviews AI-driven methods for filtering and prioritizing security alerts to combat alert fatigue, establishing a four-stage workflow taxonomy and identifying critical gaps in current research.

PACT: Reducing Alert Fatigue in Low-Prevalence SOC Streams with Triggered Active Learning

PACT is a Pareto-aware active learning controller that significantly reduces the false-positive investigation burden in low-prevalence security alert streams without sacrificing recall.

NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting

NLLog is a lightweight pipeline that rewrites system-generated logs into natural language for improved analysis and comprehension.

NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting

NLLog introduces a lightweight system that converts structured security logs into natural language sentences for improved anomaly detection, achieving high performance with low false-positive rates suitable for real-world SOC environments.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.IRcs.LGRecentJun 3, 2026

NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting

Samuel Ndichu, Tao Ban, Seiichi Ozawa, Takeshi Takahashi +1 more

NLLog is a lightweight pipeline that rewrites system-generated logs into natural language for improved analysis and comprehension.

View →
cs.CRcs.IRcs.LGRecentJun 3, 2026

NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting

Samuel Ndichu, Tao Ban, Seiichi Ozawa, Takeshi Takahashi +1 more

NLLog introduces a lightweight system that converts structured security logs into natural language sentences for improved anomaly detection, achieving high performance with low false-positive rates su…

View →
cs.CRRecentMay 21, 2026

PACT: Reducing Alert Fatigue in Low-Prevalence SOC Streams with Triggered Active Learning

Samuel Ndichu, Tao Ban, Seiichi Ozawa, Takeshi Takahashi +1 more

PACT is a Pareto-aware active learning controller that significantly reduces the false-positive investigation burden in low-prevalence security alert streams without sacrificing recall.

View →
cs.CRRecentMay 8, 2026

AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Survey

Samuel Ndichu, Tao Ban, Seiichi Ozawa, Takeshi Takahashi +1 more

This survey reviews AI-driven methods for filtering and prioritizing security alerts to combat alert fatigue, establishing a four-stage workflow taxonomy and identifying critical gaps in current resea…

View →