A Grammar-Driven Approach to Model and Detect APT Attack Sequences

Authors

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-11-25
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Grammar-Driven Approach to Model and Detect APT Attack Sequences

Yann Busnel, Antoine Rebstock
SPIRE - Sciences Po Institutional REpository
Natural Language Processing Techniques
article

A Grammar-Driven Approach to Model and Detect APT Attack Sequences

Yann Busnel, Antoine Rebstock
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Institut Mines-Télécom (FR), Institut de Recherche en Informatique et Systèmes Aléatoires (FR), IMT Atlantique (FR)
Quality Education
Openalex Percentile: Top 14%
Natural Language Processing Techniques
Open Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Grammar-Driven Approach to Model and Detect APT Attack Sequences — Yann Busnel, Antoine Rebstock · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS