Mitre att&ck - Open Access .click

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Securing Virtual Power Plants: Attack Vector Analysis of Cybersecurity Vulnerabilities in Ancillary Grid Services

IEEE Open Journal of the Industrial Electronics Society
Virtual power plants (VPPs) have emerged as critical infrastructure for grid stability, aggregating diverse Distributed energy resources (DERs) to provide essential ancillary services, including frequency regulation, voltage support, and emergency ...
Afroz Mokarim +2 more
doaj +1 more source

How the MITRE ATT&CK Framework can be used for Threat Modelling in the Cloud

, 2023
Hovedmålet med masteroppgaven er å forbedre sikkerheten til skyinfrasttrukturer ved å identifisere sårbarheter og svakheter på et tidlig stadium, helst i designfasen. For å oppnå dette, foreslås en metode-artefakt som en potensiell løsning for å håndtere dette problem, med mål om å besvare følgende forskningsspørsmål: RQ1: Hvordan kan sikkerhetsfunn ...
openaire +1 more source

Class-Specific GAN-Based Minority Data Augmentation for Cyberattack Detection Using the UWF-ZeekData22 Dataset

Technologies
Intrusion detection systems (IDS) often struggle to detect rare but high-impact attack behaviors due to severe class imbalance in real-world network traffic.
Asfaw Debelie +3 more
doaj +1 more source

Selecting Feature Subsets in Continuous Flow Network Attack Traffic Big Data Using Incremental Frequent Pattern Mining

Algorithms
This work focuses on finding frequent patterns in continuous flow network traffic Big Data using incremental frequent pattern mining. A newly created Zeek Conn Log MITRE ATT&CK framework labeled dataset, UWF-ZeekData24, generated using the Cyber Range at
Sikha S. Bagui +4 more
doaj +1 more source

Clustering doc2vec output for topic-dimensionality reduction: A MITRE ATT&CK calibration

World Patent Information
arXiv admin note: substantial text overlap with arXiv:2409 ...
Monnet, Nathan +3 more
openaire +2 more sources

Poster Sessions

HemaSphere, Volume 10, Issue S1, June 2026.
wiley +1 more source

Auditing Inferential Blind Spots: A Framework for Evaluating Forensic Coverage in Network Telemetry Architectures

Network
Network operators increasingly rely on abstracted telemetry (e.g., flow records and time-aggregated statistics) to achieve scalable monitoring of high-speed networks, but this abstraction fundamentally constrains the forensic and security inferences that
Mehrnoush Vaseghipanah, Sam Jabbehdari, Hamidreza Navidi +2 more
doaj +1 more source

A Proactive Decoy Selection Scheme for Cyber Deception using MITRE ATT&CK

Computers & Security
Cyber deception allows compensating the late response of defenders countermeasures to the ever evolving tactics, techniques, and procedures (TTPs) of attackers. This proactive defense strategy employs decoys resembling legitimate system components to lure stealthy attackers within the defender environment, slowing and/or denying the accomplishment of ...
Marco Zambianco +2 more
openaire +3 more sources

Redefining Malware Sandboxing: Enhancing Analysis Through Sysmon and ELK Integration

IEEE Access
In cybersecurity, adversaries employ a myriad of tactics to evade detection and breach defenses. Malware remains a formidable weapon in their arsenal. To counter this threat, researchers unceasingly pursue dynamic analysis, which aims to comprehend and ...
Rasmi-Vlad Mahmoud +3 more
doaj +1 more source

TF2ML: Threat Filtering With Two-Stage Machine Learning for Efficient Provenance-Aware Threat Detection and Response

IEEE Open Journal of the Computer Society
As cyber threats grow more sophisticated, traditional detection methods struggle to identify advanced and zero-day vulnerabilities. Machine learning (ML) and federated learning approaches have been explored to improve detection accuracy and scalability ...
Krittin Thirasak +3 more
doaj +1 more source

cybersecurity
cyber threat intelligence
advanced persistent threat

machine learning
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