Early Stage Malware Prediction Using Recurrent Neural Networks

11 August 2017

Papers citing "Early Stage Malware Prediction Using Recurrent Neural Networks"

8 / 8 papers shown

Title
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance Savino Dambra Yufei Han Simone Aonzo Platon Kotzias Antonino Vitale Juan Caballero Davide Balzarotti Leyla Bilge 19 23 0 27 Jul 2023
Behavioural Reports of Multi-Stage Malware Marcus Carpenter Chunbo Luo 23 3 0 30 Jan 2023
Avast-CTU Public CAPE Dataset B. Bosanský Dominik Kouba Ondrej Manhal Thorsten Sick Viliam Lisý J. Kroustek P. Somol 75 5 0 06 Sep 2022
An Intrusion Detection System based on Deep Belief Networks Othmane Belarbi Aftab Khan P. Carnelli Theodoros Spyridopoulos 19 37 0 05 Jul 2022
A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification Jinting Zhu Ju-Seong Jang Amardeep Singh I. Welch Harith Al-Sahaf S. Çamtepe AAML 11 66 0 01 Dec 2021
MalPhase: Fine-Grained Malware Detection Using Network Flow Data Michal Piskozub Fabio De Gaspari Frederick Barr-Smith L. Mancini Ivan Martinovic 21 31 0 01 Jun 2021
Neurlux: Dynamic Malware Analysis Without Feature Engineering Chani Jindal Christopher Salls H. Aghakhani Keith Long Christopher Kruegel Giovanni Vigna 11 62 0 24 Oct 2019
Dynamic Malware Analysis with Feature Engineering and Feature Learning Zhaoqi Zhang Panpan Qi Wei Wang 22 113 0 17 Jul 2019