A comprehensive survey of manual and dynamic approaches for cybersecurity taxonomy generation

被引：0

作者：

Spyros, Arnolnt ^{[1
]}

Kougioumtzidou, Anna ^{[1
]}

Papoutsis, Angelos ^{[1
]}

Darra, Eleni ^{[1
]}

Kavallieros, Dimitrios ^{[1
]}

Tziouvaras, Athanasios ^{[2
]}

Tsikrika, Theodora ^{[1
]}

Vrochidis, Stefanos ^{[1
]}

Kompatsiaris, Ioannis ^{[1
]}

机构：

[1] Ctr Res & Technol Hellas, Informat Technol Inst, 6th Km Harilaou Thermis, Thessaloniki 57001, Central Macedon, Greece

[2] Business & IoT Integrated Solut Ltd, Dept, Kypranoros 13, CY-1061 Nicosia, Cyprus

来源：

KNOWLEDGE AND INFORMATION SYSTEMS | 2025年

基金：

欧盟地平线“2020”;

关键词：

Cybersecurity; Taxonomy; Manual taxonomy; Dynamic taxonomy; Cybersecurity datasets; CHAIN-BASED TAXONOMY; CYBER; THREATS; INTELLIGENCE; ATTACKS; CLASSIFICATION; CHALLENGES; NETWORKS;

D O I：

10.1007/s10115-025-02382-w

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The aim of this work is to provide a systematic literature review of techniques for taxonomy generation across the cybersecurity domain. Cybersecurity taxonomies can be classified into manual and dynamic, each one of which focuses on different characteristics and tails different goals. Under this premise, we investigate the current state of the art in both categories with respect to their characteristics, applications and methods. To this end, we perform a systematic literature review in accordance with an extensive analysis of the tremendous need for dynamic taxonomies in the cybersecurity landscape. This analysis provides key insights into the advantages and limitations of both techniques, and it discusses the datasets which are most commonly used to generate cybersecurity taxonomies.

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页数：27

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