Multi-stage crypto ransomware attacks: A new emerging cyber threat to critical infrastructure and industrial control systems
Sign Up to like & getrecommendations! Published in 2018 at "ICT Express"
DOI: 10.1016/j.icte.2017.12.007
Abstract: Abstract The inevitable integration of critical infrastructure to public networks has exposed the underlying industrial control systems to various attack vectors. In this paper, we model multi-stage crypto ransomware attacks, which are today an emerging… read more here.
Keywords: multi stage; critical infrastructure; industrial control; ransomware ... See more keywords
An intelligent ransomware based cyberthreat detection model using multi head attention-based recurrent neural networks with optimization algorithm in IoT environment
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DOI: 10.1038/s41598-025-92711-4
Abstract: The rapid growth of the Internet of Things (IoT) and its extensive use in many regions, such as smart homes, healthcare, and vehicles, have made IoT security increasingly critical. Ransomware is an advanced and adjustable… read more here.
Keywords: ransomware; model; head attention; ransomware detection ... See more keywords
Ransomware HR: Human Resources Practices and Organizational Support in the Conti Ransomware Group
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DOI: 10.1080/01639625.2024.2419905
Abstract: ABSTRACT Ransomware is widely regarded as one of the most economically damaging cybercrimes. Existing criminological research has focused largely on the structure, routines, and activities of ransomware groups, or traced financial transactions to advance understanding… read more here.
Keywords: ransomware group; ransomware; human resources; resources practices ... See more keywords
Digital Disasters: The Growing Threat of Healthcare Ransomware.
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DOI: 10.1097/aln.0000000000005442
Abstract: Healthcare cybersecurity incidents are increasing in frequency and severity. Ransomware, a type of malicious software that results in the encryption of data and systems for financial extortion, often renders computers and networks inaccessible for prolonged… read more here.
Keywords: growing threat; disasters growing; ransomware; threat healthcare ... See more keywords
Design of Intrusion Detection Honeypot Using Social Leopard Algorithm to Detect IoT Ransomware Attacks
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DOI: 10.1109/access.2020.3023764
Abstract: In recent times, ransomware has become the most significant cyber-attack targeting individuals, enterprises, healthcare industries, and the Internet of Things (IoT). Existing security systems like Intrusion Detection and Prevention System (IDPS) and Anti-virus (AV) as… read more here.
Keywords: using social; detection honeypot; ransomware; intrusion detection ... See more keywords
Utilizing Cyber Threat Hunting Techniques to Find Ransomware Attacks: A Survey of the State of the Art
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DOI: 10.1109/access.2022.3181278
Abstract: Ransomware is one of the most harmful types of cyber attacks that cause major concerns on a global scale. It makes the victims’ resources unusable by encrypting data or locking systems to extort ransom payments.… read more here.
Keywords: threat hunting; cyber threat; ransomware attacks; ransomware ... See more keywords
An Analysis of Conti Ransomware Leaked Source Codes
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DOI: 10.1109/access.2022.3207757
Abstract: In recent years, there has been an increase in ransomware attacks worldwide. These attacks aim to lock victims’ machines or encrypt their files for ransom. These kinds of ransomware differ in their implementation and techniques,… read more here.
Keywords: ransomware; analysis; source codes; conti ransomware ... See more keywords
The Age of Ransomware: A Survey on the Evolution, Taxonomy, and Research Directions
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DOI: 10.1109/access.2023.3268535
Abstract: The proliferation of ransomware has become a significant threat to cybersecurity in recent years, causing significant financial, reputational, and operational damage to individuals and organizations. This paper aims to provide a comprehensive overview of the… read more here.
Keywords: machine learning; age ransomware; survey; ransomware ... See more keywords
MIRAD: A Method for Interpretable Ransomware Attack Detection
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DOI: 10.1109/access.2024.3461322
Abstract: In the face of escalating crypto-ransomware attacks, we introduce MIRAD, a novel dynamic detection method. MIRAD leverages machine learning to continuously monitor API calls and registry entries, detecting ransomware at all stages of infection while… read more here.
Keywords: detection; ransomware; mirad method; method interpretable ... See more keywords
A Survey of Ransomware Detection Methods
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DOI: 10.1109/access.2025.3556187
Abstract: Ransomware attacks continue to pose a significant challenge to cybersecurity, causing substantial financial and reputational damage to individuals and organizations. These attacks typically encrypt user data and demand a ransom for its release. There is… read more here.
Keywords: detection; survey ransomware; ransomware; detection methods ... See more keywords
Efficient Ransomware Detection in Resource-Constrained Environments Using Optimized Multi-Layer Perceptron Networks
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DOI: 10.1109/access.2025.3569184
Abstract: Ransomware attacks represent a significant cybersecurity threat, particularly in resource-constrained environments such as the Internet of Things (IoT) and edge computing systems. Traditional detection methods face considerable challenges in these environments due to limited computational… read more here.
Keywords: detection; resource constrained; ransomware; ransomware detection ... See more keywords