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Recent Advances in Text Anonymization: A Systematic Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
This survey presents a unified, cross‐domain overview of text anonymization from 2021 to 2025, covering methods from rule‐based to LLM‐based approaches, relevant datasets, benchmarks, and evaluation strategies. It highlights the critical trade‐off between privacy and utility, underscores the importance of standardizing evaluation protocols and metrics,
Marina Litvak, Alípio Jorge
wiley +1 more source

Proactive Cyber Defense: A Real-Time CTI Framework with ATT&CK–D3FEND Mapping

Systems
The contemporary cyber-threat landscape is becoming increasingly diverse and complex, creating a persistent gap between situational awareness and operational response. This study presents a framework designed to bridge this gap by transforming up-to-date
Rino Jo +9 more
doaj +1 more source

A Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

Engineering Reports, Volume 8, Issue 7, July 2026.
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa, Ahmad Taher Azar, Walid El‐Shafai +2 more
wiley +1 more source

Red‐Pi: A Low‐Cost Red Teaming Platform for Water Infrastructure Security Assessment

SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.
ABSTRACT The water and wastewater sector faces growing cyber threats due to rapid digitalization and the use of IoT‐based control systems. Many utilities manage essential services that affect public health and the environment but do not have enough cybersecurity staff and cannot afford regular security tests.
Agustin Di Bartolo +5 more
wiley +1 more source

OntoLogX: Ontology‐Guided Knowledge Graph Extraction From Cybersecurity Logs With Large Language Models

Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source

Benchmarking Large Language Model Capabilities in Penetration Testing: A Two-Dimensional Evaluation Framework Based on the MITRE ATT&CK Matrix

Современные информационные технологии и IT-образование
As artificial intelligence increasingly shapes both offensive and defensive cybersecurity operations, practitioners urgently require standardized methods to assess whether LLM-based agents can reliably perform penetration testing tasks.
Alexander Kuzmin +5 more
doaj +1 more source

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source

From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 646-666, June 2026.
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang +5 more
wiley +1 more source

A framework for cyber threat modeling and risk assessment in smart city environments

Frontiers in Computer Science
IntroductionWith the rise of digital transformation, the concept of the smart city has emerged as a key pillar of modern urban development. However, as smart cities increasingly rely on the Internet of Things (IoT), cloud computing, and real-time data ...
Mariya Ouaissa +5 more
doaj +1 more source

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

Energy Internet, Volume 3, Issue 1, Page 39-51, April 2026.
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi +5 more
wiley +1 more source

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