Copertina

Data Encryption Battlefield: A Deep Dive into the Dynamic Confrontations in Ransomware Attacks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mahboubi, Arash, Aboutorab, Hamed, Camtepe, Seyit, Bui, Hang Thanh, Luong, Khanh, Ansari, Keyvan, Wang, Shenlu, Barry, Bazara
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security 68M25
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Setup Once, Secure Always: A Single-Setup Secure Federated Learning Aggregation Protocol with Forward and Backward Secrecy for Dynamic Users
di: Sultan, Nazatul Haque, et al.
Pubblicazione: (2025)

TL-RL-FusionNet: An Adaptive and Efficient Reinforcement Learning-Driven Transfer Learning Framework for Detecting Evolving Ransomware Threats
di: Ferdous, Jannatul, et al.
Pubblicazione: (2026)

Multimodal Multi-Agent Ransomware Analysis Using AutoGen
di: Khan, Asifullah, et al.
Pubblicazione: (2026)

AdaDoS: Adaptive DoS Attack via Deep Adversarial Reinforcement Learning in SDN
di: Shao, Wei, et al.
Pubblicazione: (2025)

Attacking Slicing Network via Side-channel Reinforcement Learning Attack
di: Shao, Wei, et al.
Pubblicazione: (2024)

Quantum Key Distribution
di: Kish, Sebastian, et al.
Pubblicazione: (2025)

FuncVul: An Effective Function Level Vulnerability Detection Model using LLM and Code Chunk
di: Halder, Sajal, et al.
Pubblicazione: (2025)

Social Engineering Attacks: A Systemisation of Knowledge on People Against Humans
di: Thomson, Scott, et al.
Pubblicazione: (2025)

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

Private Synthetic Data Generation in Bounded Memory
di: Holland, Rayne, et al.
Pubblicazione: (2024)

DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-hosted Monolithic Firmware Fuzzing
di: Farrelly, Guy, et al.
Pubblicazione: (2026)

Explainable Attention-Based LSTM Framework for Early Detection of AI-Assisted Ransomware via File System Behavioral Analysis
di: Nayak, Prabhudarshi, et al.
Pubblicazione: (2026)

A Method for Securely Transmitting Large Video Files Using Chaotic Compression and Encryption
di: Bhattacharjee, Shiladitya, et al.
Pubblicazione: (2026)

Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices
di: Khan, Saud, et al.
Pubblicazione: (2023)

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

Provably Unlearnable Data Examples
di: Wang, Derui, et al.
Pubblicazione: (2024)

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

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
di: Chung, Ming-Yu, et al.
Pubblicazione: (2023)

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks
di: Xu, Jing, et al.
Pubblicazione: (2022)

A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy
di: Mohsin, Ahmad, et al.
Pubblicazione: (2025)

EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection
di: Liu, Shigang, et al.
Pubblicazione: (2024)

Original Sin of npm: A Study on Vulnerability Propagation in JavaScript Dependency Networks
di: Robinson, Michael, et al.
Pubblicazione: (2026)

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

MTDSense: AI-Based Fingerprinting of Moving Target Defense Techniques in Software-Defined Networking
di: Moghaddam, Tina, et al.
Pubblicazione: (2024)

From Backup Restoration to Minimum Viable Factory Recovery: A Systematization of Ransomware Recovery in Manufacturing Systems
di: Chiu, Chun Yin
Pubblicazione: (2026)

Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution
di: Alizadeh, Meysam, et al.
Pubblicazione: (2025)

LookAhead: Preventing DeFi Attacks via Unveiling Adversarial Contracts
di: Ren, Shoupeng, et al.
Pubblicazione: (2024)

Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure
di: Deng, Zehang, et al.
Pubblicazione: (2024)

Privacy-Preserving Spiking Neural Networks: A Deep Dive into Encryption Parameter Optimisation
di: Pulivathi, Mahitha, et al.
Pubblicazione: (2025)

ranDecepter: Real-time Identification and Deterrence of Ransomware Attacks
di: Sajid, Md Sajidul Islam, et al.
Pubblicazione: (2025)

On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World
di: Doan, Bao Gia, et al.
Pubblicazione: (2024)

Hierarchical Manifold Projection for Ransomware Detection: A Novel Geometric Approach to Identifying Malicious Encryption Patterns
di: Pembroke, Frederick, et al.
Pubblicazione: (2025)

Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget
di: Yang, Yi, et al.
Pubblicazione: (2026)

Imperceptible Adversarial Attacks on Point Clouds Guided by Point-to-Surface Field
di: Tang, Keke, et al.
Pubblicazione: (2024)

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

Deep Learning-Based Multi-Factor Authentication: A Survey of Biometric and Smart Card Integration Approaches
di: Ganmati, Abdelilah, et al.
Pubblicazione: (2025)

Stego Battlefield: Evaluating Image Steganography Attacks and Steganalysis Defenses
di: Sun, Zhen, et al.
Pubblicazione: (2026)

Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
di: Goel, Diksha, et al.
Pubblicazione: (2024)

Primitive Vector Cipher(PVC): A Hybrid Encryption Scheme based on the Vector Computational Diffie-Hellman (V-CDH) Problem
di: BİLİR, Gülçin ÇİVİ
Pubblicazione: (2025)

A Hybrid Deep Learning and Anomaly Detection Framework for Real-Time Malicious URL Classification
di: Khaled, Berkani, et al.
Pubblicazione: (2025)