Results 51 to 60 of about 1,349 (172)

Ransomware deployment methods and analysis: views from a predictive model and human responses

Crime Science, 2019
Ransomware incidents have increased dramatically in the past few years. The number of ransomware variants is also increasing, which means signature and heuristic-based detection techniques are becoming harder to achieve, due to the ever changing pattern ...
Gavin Hull, Henna John, Budi Arief
doaj   +1 more source

The Age of Ransomware: A Survey on the Evolution, Taxonomy, and Research Directions

IEEE Access, 2023
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
Salwa Razaulla, Claude Fachkha, Christine Markarian, Amjad Gawanmeh, Wathiq Mansoor, Benjamin C. M. Fung, Chadi Assi   +6 more
doaj   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks

Mathematics
Ransomware is a type of malware that leverages encryption to execute its attacks. Its continuous evolution underscores its dynamic and ever-changing nature.
Umara Urooj, Bander Ali Saleh Al-rimy, Mazen Gazzan, Anazida Zainal, Eslam Amer, Mohammed Almutairi, Stavros Shiaeles, Frederick Sheldon   +7 more
doaj   +1 more source

Western Balkans as the Frontline of Russian Hybrid Warfare

Global Policy, EarlyView.
ABSTRACT Hybrid warfare (HW) scholarship acknowledges the phenomenon's contextual and temporal specificity, yet its dominant conceptual framing has generated a literature largely centred on identifying and categorising hybrid activities. This focus has left the contextual vulnerabilities that enable hybrid threats (HTs) and shape an adversary's ...
Vesna Bojicic‐Dzelilovic
wiley   +1 more source

Never Mind the Bollards: Exploring the Role of GCHQ, MI5, and the National Technical Authorities in UK Security Markets

The Howard Journal of Crime and Justice, EarlyView.
ABSTRACT The cultures and governance of security markets in the United Kingdom are often characterised through a paradoxical narrative of simultaneous state retreat and progressive advance. In the face of repeated recent high‐profile security failures, and global changes in material political economy, we argue that UK security governance is adapting to
Ben Collier, Jamie Buchan
wiley   +1 more source

A Comparative Assessment of Obfuscated Ransomware Detection Methods [PDF]

Informatică economică, 2019
Ransomware represents a class of malicious applications that encrypts the files of infected system and demands from victims a payment in cryptocurrency in order to receive the decryption key.
Sergiu SECHEL
doaj   +1 more source

Resilient IT: Winning With People and Process

Information Systems Journal, EarlyView.
ABSTRACT In today's dynamic environment, IT organisations face numerous challenges from disruptions such as natural disasters, cybersecurity threats, international conflicts, evolving regulations, pandemics and recent global incidents such as the CrowdStrike outage.
Wesam Helou, Michele Heath, Raymond Henry   +2 more
wiley   +1 more source

Machine Learning Based File Entropy Analysis for Ransomware Detection in Backup Systems

IEEE Access, 2019
With the advent of big data and cloud services, user data has become an important issue. Although a variety of detection and prevention technologies are used to protect user data, ransomware that demands money in exchange for one's data has emerged.
Kyungroul Lee, Sun-Young Lee, Kangbin Yim   +2 more
doaj   +1 more source