:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hirano, Manabu, Kobayashi, Ryotaro
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2508.08655
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evasive Ransomware Attacks Using Low-level Behavioral Adversarial Examples
by: Hirano, Manabu, et al.
Published: (2025)

ROFBS$α$: Real Time Backup System Decoupled from ML Based Ransomware Detection
by: Higuchi, Kosuke, et al.
Published: (2025)

Decentralized Entropy-Based Ransomware Detection Using Autonomous Feature Resonance
by: Quince, Barnaby, et al.
Published: (2025)

Hierarchical Polysemantic Feature Embedding for Autonomous Ransomware Detection
by: Nikitka, Sergei, et al.
Published: (2025)

Laccolith: Hypervisor-Based Adversary Emulation with Anti-Detection
by: Orbinato, Vittorio, et al.
Published: (2023)

Towards Assessing Isolation Properties in Partitioning Hypervisors
by: Cesarano, Carmine, et al.
Published: (2022)

Impact of File-Open Hook Points on Backup Ratio in ROFBS on XFS
by: Higuchi, Kosuke, et al.
Published: (2026)

On the Impossibility of a Perfect Hypervisor
by: Guri, Mordechai
Published: (2025)

Ransomware Detection Using Machine Learning in the Linux Kernel
by: Brodzik, Adrian, et al.
Published: (2024)

A Computational Model for Ransomware Detection Using Cross-Domain Entropy Signatures
by: Mannon, Michael, et al.
Published: (2025)

Decentralized Entropy-Driven Ransomware Detection Using Autonomous Neural Graph Embeddings
by: Starchenko, Ekaterina, et al.
Published: (2025)

A Method for Decrypting Data Infected with Rhysida Ransomware
by: Kim, Giyoon, et al.
Published: (2024)

Guillotine: Hypervisors for Isolating Malicious AIs
by: Mickens, James, et al.
Published: (2025)

Intermittent File Encryption in Ransomware: Measurement, Modeling, and Detection
by: Ineza, Ynes, et al.
Published: (2025)

GuardFS: a File System for Integrated Detection and Mitigation of Linux-based Ransomware
by: von der Assen, Jan, et al.
Published: (2024)

On the Generalizability of Machine Learning-based Ransomware Detection in Block Storage
by: Reategui, Nicolas, et al.
Published: (2024)

Ransomware Detection Dynamics: Insights and Implications
by: Nkongolo, Mike
Published: (2024)

A Comprehensive Analysis of Machine Learning Based File Trap Selection Methods to Detect Crypto Ransomware
by: Putrevu, Mohan Anand, et al.
Published: (2024)

Ransomware Detection and Classification Using Random Forest: A Case Study with the UGRansome2024 Dataset
by: Azugo, Peace, et al.
Published: (2024)

SHIELD: A Host-Independent Framework for Ransomware Detection using Deep Filesystem Features
by: Raz, Md, et al.
Published: (2025)

Breaking Isolation: A New Perspective on Hypervisor Exploitation via Cross-Domain Attacks
by: Pan, Gaoning, et al.
Published: (2025)

A Sysmon Incremental Learning System for Ransomware Analysis and Detection
by: Ispahany, Jamil, et al.
Published: (2025)

Learning the Language of NVMe Streams for Ransomware Detection
by: Bringoltz, Barak, et al.
Published: (2025)

Hierarchical Entropy Disruption for Ransomware Detection: A Computationally-Driven Framework
by: Srynn, Hayden, et al.
Published: (2025)

Detecting Avalanche Effect in Adversarial Settings: Spotting the Encryption Loops in Ransomware
by: Luo, Nanqing, et al.
Published: (2026)

Hierarchical Pattern Decryption Methodology for Ransomware Detection Using Probabilistic Cryptographic Footprints
by: Pekepok, Kevin, et al.
Published: (2025)

Algorithmic Segmentation and Behavioral Profiling for Ransomware Detection Using Temporal-Correlation Graphs
by: Rollere, Ignatius, et al.
Published: (2025)

Spectral Entanglement Fingerprinting: A Novel Framework for Ransomware Detection Using Cross-Frequency Anomalous Waveform Signatures
by: Ayanara, Dominica, et al.
Published: (2025)

Semantic Entanglement-Based Ransomware Detection via Probabilistic Latent Encryption Mapping
by: Eisa, Mohammad, et al.
Published: (2025)

Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection
by: Ferdous, Jannatul, et al.
Published: (2026)

Entropy-Synchronized Neural Hashing for Unsupervised Ransomware Detection
by: Idliman, Peter, et al.
Published: (2025)

MLRan: A Behavioural Dataset for Ransomware Analysis and Detection
by: Onwuegbuche, Faithful Chiagoziem, et al.
Published: (2025)

Hierarchical Entropic Diffusion for Ransomware Detection: A Probabilistic Approach to Behavioral Anomaly Isolation
by: Iskorohodov, Vasili, et al.
Published: (2025)

Showing the Receipts: Understanding the Modern Ransomware Ecosystem
by: Cable, Jack, et al.
Published: (2024)

CanCal: Towards Real-time and Lightweight Ransomware Detection and Response in Industrial Environments
by: Wang, Shenao, et al.
Published: (2024)

Zero Day Ransomware Detection with Pulse: Function Classification with Transformer Models and Assembly Language
by: Gaber, Matthew, et al.
Published: (2024)

Ransomware: Analysis and Evaluation of Live Forensic Techniques and the Impact on Linux based IoT Systems
by: Korac, Salko, et al.
Published: (2024)

Ransomware 3.0: Self-Composing and LLM-Orchestrated
by: Raz, Md, et al.
Published: (2025)

Differential Area Analysis for Ransomware: Attacks, Countermeasures, and Limitations
by: Venturini, Marco, et al.
Published: (2023)

zkRansomware: Proof-of-Data Recoverability and Multi-round Game Theoretic Modeling of Ransomware Decisions
by: Hou, Xinyu, et al.
Published: (2026)