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Jurnal Institusi
Ransomware Attacks Threat Modeling Using Bayesian Network: Pemodelan Ancaman Serangan Ransomware Menggunakan Bayesian Network
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 14 No. 1 (2023): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi ; 43-56
Ransomware is a dangerous malware that blocks access to data through encryption, and it exploits device vulnerabilities to perform chain attacks from one system to another. This study results in modeling the threat of ransomware attacks using Bayesia...
Jurnal Institusi
Cyber Security Risks in the Rapid Development of Generative Artificial Intelligence: A Systematic Literature Review
ComniTech : Journal of Computational Intelligence and Informatics ; Vol. 1 No. 2 (2024): ComniTech : Journal of Computational Intelligence and Informatics; 57-66
This study aims to identify the cybersecurity risks arising from the use of Generative Artificial Intelligence (GenAI). By employing a systematic literature review (SLR) method and following the PRISMA 2020 guidelines, this research systematically se...
PubMed
On the classification of Microsoft-Windows ransomware using hardware profile
PeerJ Comput Sci
Due to the expeditious inclination of online services usage, the incidents of ransomware proliferation being reported are on the rise. Ransomware is a more hazardous threat than other malware as the victim of ransomware cannot regain access to the hi...
PubMed
A Method for Neutralizing Entropy Measurement-Based Ransomware Detection Technologies Using Encoding Algorithms
Entropy (Basel)
Ransomware consists of malicious codes that restrict users from accessing their own files while demanding a ransom payment. Since the advent of ransomware, new and variant ransomwares have caused critical damage around the world, thus prompting the s...
PubMed
A Machine Learning-Based Ransomware Detection Method for Attackers’ Neutralization Techniques Using Format-Preserving Encryption
Sensors (Basel)
Ransomware, a type of malware that first appeared in 1989, encrypts user files and demands money for decryption, causing increasing global damage. To reduce the impact of ransomware, various file-based detection technologies are being developed; howe...
PubMed
Trends in Ransomware Attacks on US Hospitals, Clinics, and Other Health Care Delivery Organizations, 2016-2021
JAMA Health Forum
IMPORTANCE: Anecdotal evidence suggests that health care delivery organizations face a growing threat from ransomware attacks that are designed to disrupt care delivery and may consequently threaten patient outcomes. OBJECTIVE: To quantify the freque...
PubMed
A Survey of Crypto Ransomware Attack Detection Methodologies: An Evolving Outlook
Sensors (Basel)
Recently, ransomware attacks have been among the major threats that target a wide range of Internet and mobile users throughout the world, especially critical cyber physical systems. Due to its unique characteristics, ransomware has attracted the att...
PubMed
Ransomware: Analysing the Impact on Windows Active Directory Domain Services
Sensors (Basel)
Ransomware has become an increasingly popular type of malware across the past decade and continues to rise in popularity due to its high profitability. Organisations and enterprises have become prime targets for ransomware as they are more likely to ...
PubMed
Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier
Sci Rep
Ransomware attacks pose a serious threat to Internet resources due to their far-reaching effects. It’s Zero-day variants are even more hazardous, as less is known about them. In this regard, when used for ransomware attack detection, conventional m...
PubMed
E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches
Sensors (Basel)
Nowadays, ransomware is considered one of the most critical cyber-malware categories. In recent years various malware detection and classification approaches have been proposed to analyze and explore malicious software precisely. Malware originators ...
PubMed
Ransomware: Recent advances, analysis, challenges and future research directions
Comput Secur
The COVID-19 pandemic has witnessed a huge surge in the number of ransomware attacks. Different institutions such as healthcare, financial, and government have been targeted. There can be numerous reasons for such a sudden rise in attacks, but it app...
PubMed
Ransomware and the Robin Hood effect?: Experimental evidence on Americans’ willingness to support cyber-extortion
J Exp Criminol
OBJECTIVES: Ransomware attacks have become a critical security threat worldwide. However, existing research on ransomware has largely ignored public opinion. This initial study identifies patterns in the American public’s support for the use of ran...
PubMed
RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application
Sensors (Basel)
These days, the use of digital healthcare has been growing in practice. Getting remote healthcare services without going to the hospital for essential checkups and reports is easy. It is a cost-saving and time-saving process. However, digital healthc...
PubMed
An Effective Self-Configurable Ransomware Prevention Technique for IoMT
Sensors (Basel)
Remote healthcare systems and applications are being enabled via the Internet of Medical Things (IoMT), which is an automated system that facilitates the critical and emergency healthcare services in urban areas, in addition to, bridges the isolated ...
PubMed
Radiation Oncology Ransomware Attack Response Risk Analysis Using Failure Modes and Effects Analysis
Pract Radiat Oncol
PURPOSE: There have been numerous significant ransomware attacks impacting Radiation Oncology in the past 5 years. Research into ransomware attack response in Radiation Oncology has consisted of case reports and descriptive articles and has lacked qu...
PubMed
A Crypto-Steganography Approach for Hiding Ransomware within HEVC Streams in Android IoT Devices
Sensors (Basel)
Steganography is a vital security approach that hides any secret content within ordinary data, such as multimedia. This hiding aims to achieve the confidentiality of the IoT secret data; whether it is benign or malicious (e.g., ransomware) and for de...
PubMed
Working from home users at risk of COVID-19 ransomware attacks
Cybersecurity and Cognitive Science
The COVID-19 pandemic has intensely impacted the world where many would find themselves working, studying, communicating, and performing other essential needs within the cyberspace. The pandemic has presented many obstacles and challenges for everyon...
PubMed
Characteristics of short-term acute care hospitals that experienced a ransomware attack from 2016 to 2021
Health Aff Sch
As cybercrime increasingly targets the health care sector, hospitals face the growing threat of ransomware attacks. Ransomware is a type of malicious software that prevents users from accessing their electronic systems—demanding payment to restore ...
PubMed
How organisations can ethically negotiate ransomware payments
Network Security
By 2021, a new organisation will be falling victim to ransomware every 11 seconds.(1) However, ransomware figures have been skyrocketing since 2017 when the globe was hit by WannaCry and NotPetya. At that time, the term ‘ransomware’ entered commo...
PubMed
Garmin among hardest hit in major wave of ransomware attacks
Computer Fraud & Security
Garmin, a major manufacturer of GPS systems, fitness trackers and other products, has been severely affected by a ransomware attack. Meanwhile, new forms of ransomware have emerged, including malware originating from North Korea.