Copertina

A Comprehensive Analysis of Machine Learning Based File Trap Selection Methods to Detect Crypto Ransomware

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Putrevu, Mohan Anand, Chunduri, Hrushikesh, Putrevu, Venkata Sai Charan, Shukla, Sandeep K
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

SaMOSA: Sandbox for Malware Orchestration and Side-Channel Analysis
di: Udeshi, Meet, et al.
Pubblicazione: (2025)

rCamInspector: Building Reliability and Trust on IoT (Spy) Camera Detection using XAI
di: Chaudhary, Priyanka Rushikesh, et al.
Pubblicazione: (2025)

Safeguarding LLMs Against Misuse and AI-Driven Malware Using Steganographic Canaries
di: Raz, Md, et al.
Pubblicazione: (2026)

Binary Diff Summarization using Large Language Models
di: Udeshi, Meet, et al.
Pubblicazione: (2025)

Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark
di: Shao, Minghao, et al.
Pubblicazione: (2025)

D-CIPHER: Dynamic Collaborative Intelligent Multi-Agent System with Planner and Heterogeneous Executors for Offensive Security
di: Udeshi, Meet, et al.
Pubblicazione: (2025)

CTFExplorer: Evaluating LLM Offensive Agents Through Multi-Target Web CTF Benchmarking
di: Rani, Nanda, et al.
Pubblicazione: (2026)

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution
di: Shao, Minghao, et al.
Pubblicazione: (2025)

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

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

Crypto-Ransomware and Their Defenses: In-depth Behavioral Characterization, Discussion of Deployability, and New Insights
di: Song, Wenjia, et al.
Pubblicazione: (2023)

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

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

Minerva: A File-Based Ransomware Detector
di: Hitaj, Dorjan, et al.
Pubblicazione: (2023)

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

A Comprehensive Survey of Advanced Persistent Threat Attribution: Taxonomy, Methods, Challenges and Open Research Problems
di: Rani, Nanda, et al.
Pubblicazione: (2024)

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

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

SeqShield: A Behavioral Analysis Approach to Uncover Rootkits
di: Ghodeshwar, Paras, et al.
Pubblicazione: (2026)

VaultFS: Write-once Software Support at the File System Level Against Ransomware Attacks
di: Caporaso, Pasquale, et al.
Pubblicazione: (2024)

From Cyber Threat to Data Shield: Constructing Provably Secure File Erasure with Repurposed Ransomware Cryptography
di: Shang, Jiahui, et al.
Pubblicazione: (2025)

MaLAware: Automating the Comprehension of Malicious Software Behaviours using Large Language Models (LLMs)
di: Saha, Bikash, et al.
Pubblicazione: (2025)

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

Hypervisor-based Double Extortion Ransomware Detection Method Using Kitsune Network Features
di: Hirano, Manabu, et al.
Pubblicazione: (2025)

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

Harnessing PU Learning for Enhanced Cloud-based DDoS Detection: A Comparative Analysis
di: Dilworth, Robert, et al.
Pubblicazione: (2024)

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

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

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

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

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

CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
di: ElSayed, Zag, et al.
Pubblicazione: (2025)

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

Ransomware Detection Dynamics: Insights and Implications
di: Nkongolo, Mike
Pubblicazione: (2024)

A Comprehensive Review of Adversarial Attacks on Machine Learning
di: Ahmed, Syed Quiser, et al.
Pubblicazione: (2024)

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

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

RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection
di: Caliskan, Busra, et al.
Pubblicazione: (2026)

MalGEN: A Testbed for Modeling and Evaluating Malware Behaviors
di: Saha, Bikash, et al.
Pubblicazione: (2025)