Results 41 to 50 of about 383 (171)
Cyber Threat Intelligence (CTI) serves as a critical component in modern cybersecurity. Nevertheless, the different writing styles and lack of standardization in CTI documentation impose significant interpretation overhead on security analysts.
Shuqin Zhang, Dedong Li, Jun Li
doaj +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
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
Detecting Cybersecurity Threats for Industrial Control Systems Using Machine Learning
Industrial control systems (ICS) are vital for ensuring the reliability and operational efficiency of critical infrastructure across various industries.
Woohyun Choi, Suman Pandey, Jongwon Kim
doaj +1 more source
From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆
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
Digital Forensic Analysis of Keylogger Attack Evidence on Websites Using the NIST Method
WordPress commands 43.2% of global websites and has become a primary target for keylogger attacks, with vulnerability trends showing exponential growth from 1,543 in 2014 to 8,907 in 2025 according to WPScan Vulnerability Database. This research employs
Arizona Firdonsyah, Dimas Rizki Setyaji
doaj +1 more source
Defender Policy Evaluation and Resource Allocation With MITRE ATT&CK Evaluations Data
Protecting against multi-step attacks of uncertain duration and timing forces defenders into an indefinite, always ongoing, resource-intensive response. To effectively allocate resources, a defender must be able to analyze multi-step attacks under assumption of constantly allocating resources against an uncertain stream of potentially undetected ...
Alexander V. Outkin +4 more
openaire +2 more sources
The MITRE ATT&CK (Registered trademark) framework is a globally recognized repository of adversarial Tactics, Techniques, and Procedures (TTPs) based on real-world cyber threats.
Sebastien Kanj Bonhard +3 more
doaj +1 more source
Similarity Analysis of Ransomware Attacks Based on ATT&CK Matrix
In recent years, there has been an increasingly prevalent trend of ransomware attacks, with malicious organizations employing various techniques to gain system privileges and subsequently engaging in extortion through methods such as encrypting files or ...
Zheyu Song, Yonghong Tian, Junjin Zhang
doaj +1 more source
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
Cyotoxicity of Etidronate as an Endodontic Chelator Against Periodontal Ligament Fibroblast
ABSTRACT Etidronic acid (HEBP) causes fewer alterations in dentine and can be used mixed with sodium hypochlorite during root canal preparation. This study investigated the cytotoxicity effects of the HEDP and EDTA on human periodontal ligament fibroblast cells. Primary culture was established from human periodontal ligament tissue of one donor and was
Bruno Vila Nova de Almeida +6 more
wiley +1 more source

