Intermittent File Encryption in Ransomware: Measurement, Modeling, and Detection

arXiv:2510.15133 · cs.CR · Submitted 2026-08-15 · Read on arXiv

Ynes Ineza, Gerald Jackson, Prince Niyonkuru, Jaden Kevil, Abdul Serwadda

cs.CR

Submitted: 2026-08-15

Updated: 2026-08-18

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 25× in this paper · explained in 1 episode
Aggregation — 5× in this paper · explained in 1 episode
Actor — 4× in this paper · explained in 3 episodes
Convolutional Neural Network — 3× in this paper
Core — 2× in this paper · explained in 2 episodes
Data Augmentation — 2× in this paper · explained in 7 episodes
Generative Adversarial Network — 2× in this paper
Robustness — 2× in this paper · explained in 5 episodes
Abstraction — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
Calibration — 1× in this paper · explained in 7 episodes
Computational overhead — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Inter-quartile Range — 1× in this paper
Interpretability — 1× in this paper · explained in 15 episodes
Trace — 1× in this paper · explained in 2 episodes

Sources

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

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