Results 61 to 70 of about 2,945,918 (205)
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 +2 more
doaj +1 more source
CAnDE: Entity‐Based Relationship Exploration Using a Cards and Decks Metaphor
Computer Graphics Forum, EarlyView.We present CAnDE, a visual analytics approach for exploring dynamically defined entities in digital criminal data. Inspired by evidence boards, CAnDE uses a cards and decks metaphor that maps complex concepts to familiar interactions, including rotating, flipping and stacking cards.
K. A. Roggenbuck +2 more
wiley +1 more source
A review of ransomware families and detection methods [PDF]
, 2018 Ransomware has become a significant problem and its impact is getting worse. It has now become a lucrative business as it is being offered as a service. Unlike other security issues, the effect of ransomware is irreversible and difficult to stop.
Kannoorpatti, K. +11 more
core +1 more source
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
Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide
The Journal of Pathology, Volume 270, Issue 3, Page 328-341, November 2026.Abstract The implementation of digital pathology (DP) has been reported across academic, public, and private laboratory settings, providing valuable insights into workflow transformation. However, comparatively little guidance exists on how DP systems should be evaluated prior to acquisition and deployment.
Diana Montezuma +9 more
wiley +1 more source
Base Semantics—A Novel Approach for Minimizing Malware Detection Rules
SECURITY AND PRIVACY, Volume 9, Issue 6, November/December 2026.ABSTRACT The rapid evolution of malware variants has increasingly undermined traditional signature‐based detection techniques, which are easily evaded through obfuscation and polymorphism that preserve malicious functionality. This challenge is particularly acute in Internet of Things (IoT) environments, where device heterogeneity, resource constraints,
Khizar Hayat +5 more
wiley +1 more source
Contributions to Crypto-Ransomware Analysis and Detection [PDF]
Ransomware poses a severe and evolving threat to cyber security, demanding continuous advancements in analysis and detection techniques. This thesis successfully tackles several critical research gaps in this domain, offering essential resources and ...
Davies, Simon
core +1 more source
Retrieval‐Based Deep Hybrid Models for Robust Network Intrusion Detection
SECURITY AND PRIVACY, Volume 9, Issue 6, November/December 2026.ABSTRACT A retrieval‐based deep hybrid model couples a learned encoder with a non‐parametric k‐nearest‐neighbors module that, at inference time, retrieves training records and conditions its predictions on the local neighborhood. Despite strong results on tabular benchmarks, such hybrids and several recent deep tabular architectures have not been ...
Bimal Parakkal +2 more
wiley +1 more source
Ransomware Detection and Classification using Machine Learning [PDF]
, 2023 Vicious assaults, malware, and various ransomware pose a cybersecurity threat, causing considerable damage to computer structures, servers, and mobile and web apps across various industries and businesses.
Kunku, Kavitha, Roy, Kaushik, Zaman, ANK
core
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