Cargando…

End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware

Malware allegedly developed by nation-states, also known as advanced persistent threats (APT), are becoming more common. The task of attributing an APT to a specific nation-state or classifying it to the correct APT family is challenging for several reasons. First, each nation-state has more than a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rosenberg, Ishai, Sicard, Guillaume, David, Eli (Omid)
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512909/ https://www.ncbi.nlm.nih.gov/pubmed/33265480 http://dx.doi.org/10.3390/e20050390

Ejemplares similares

Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images †
por: Cohen, Ido, et al.
Publicado: (2019)

Answering medical questions in Chinese using automatically mined knowledge and deep neural networks: an end-to-end solution
por: Zhang, Li, et al.
Publicado: (2022)

Transfer Learning for Image-Based Malware Detection for IoT
por: Panda, Pratyush, et al.
Publicado: (2023)

Performance evaluation of deep neural network on malware detection: visual feature approach
por: Anandhi, V., et al.
Publicado: (2022)

An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars
por: Xu, Xinsong, et al.
Publicado: (2022)

CAttSleepNet: Automatic End-to-End Sleep Staging Using Attention-Based Deep Neural Networks on Single-Channel EEG
por: Li, Tingting, et al.
Publicado: (2022)

Reinforcement Learning-Based End-to-End Parking for Automatic Parking System
por: Zhang, Peizhi, et al.
Publicado: (2019)

Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning
por: Ibadurrahman,, et al.
Publicado: (2021)

End-to-End Premature Ventricular Contraction Detection Using Deep Neural Networks
por: Kraft, Dimitri, et al.
Publicado: (2023)

An Efficient DenseNet-Based Deep Learning Model for Malware Detection
por: Hemalatha, Jeyaprakash, et al.
Publicado: (2021)

Malware Detection in Internet of Things (IoT) Devices Using Deep Learning
por: Riaz, Sharjeel, et al.
Publicado: (2022)

An end-to-end multi-task system of automatic lesion detection and anatomical localization in whole-body bone scintigraphy by deep learning
por: Huang, Kaibin, et al.
Publicado: (2022)

Learning malware analysis: explore the concepts, tools, and techniques to analyze and investigate Windows malware
por: K A, Monnappa
Publicado: (2018)

An End-to-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms
por: Kocić, Jelena, et al.
Publicado: (2019)

Automatic Detection of High-Frequency Oscillations Based on an End-to-End Bi-Branch Neural Network and Clinical Cross-Validation
por: Liu, Zimo, et al.
Publicado: (2021)

ReinforSec: An Automatic Generator of Synthetic Malware Samples and Denial-of-Service Attacks through Reinforcement Learning
por: Hernandez-Suarez, Aldo, et al.
Publicado: (2023)

Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network
Publicado: (2019)

End-to-end Deep Learning Inference in CMS software framework
por: CMS Collaboration
Publicado: (2023)

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors
por: Airaksinen, Manu, et al.
Publicado: (2023)

Data augmentation based malware detection using convolutional neural networks
por: Catak, Ferhat Ozgur, et al.
Publicado: (2021)

Malware detection
por: Nandal, Priyanka
Publicado: (2017)

Deep Feature Extraction and Classification of Android Malware Images
por: Singh, Jaiteg, et al.
Publicado: (2020)

The Neural Signatures of Processing Semantic End Values in Automatic Number Comparisons
por: Pinhas, Michal, et al.
Publicado: (2015)

Evaluation of Machine Learning Algorithms for Malware Detection
por: Akhtar, Muhammad Shoaib, et al.
Publicado: (2023)

MalFuzz: Coverage-guided fuzzing on deep learning-based malware classification model
por: Liu, Yuying, et al.
Publicado: (2022)

Exploring End-to-end Deep Learning Applications for Event Classification at CMS
por: Andrews, Michael Benjamin, et al.
Publicado: (2018)

Fully end-to-end deep-learning-based diagnosis of pancreatic tumors
por: Si, Ke, et al.
Publicado: (2021)

End-to-End Autonomous Exploration with Deep Reinforcement Learning and Intrinsic Motivation
por: Ruan, Xiaogang, et al.
Publicado: (2021)

End-to-End Deep Learning Method for Detection of Invasive Parkinson’s Disease
por: Mahmood, Awais, et al.
Publicado: (2023)

Machine learning: end-to-end guide for Java developers : data analysis, machine learning and neural networks simplified
por: Reese, Richard M
Publicado: (2017)

Design and Implementation of Fast Spoken Foul Language Recognition with Different End-to-End Deep Neural Network Architectures
por: Ba Wazir, Abdulaziz Saleh, et al.
Publicado: (2021)

Windows Malware analysis essentials: master the fundamentals of malware analysis for the Windows platform and enhance your anti-malware skill set
por: Marak, Victor
Publicado: (2015)

An end-to-end framework for real-time automatic sleep stage classification
por: Patanaik, Amiya, et al.
Publicado: (2018)

End-to-end deep learning inference with CMSSW via ONNX using docker
por: Chaudhari, Purva, et al.
Publicado: (2023)

End-to-end deep learning inference with CMSSW via ONNX using Docker
por: Chudasama, Ruchi
Publicado: (2023)

A robust and interpretable end-to-end deep learning model for cytometry data
por: Hu, Zicheng, et al.
Publicado: (2020)

End-to-End Deep Learning by MCU Implementation: An Intelligent Gripper for Shape Identification
por: Hung, Chung-Wen, et al.
Publicado: (2021)

NanoNet: Rapid and accurate end-to-end nanobody modeling by deep learning
por: Cohen, Tomer, et al.
Publicado: (2022)

Efficient Brain Tumor Detection with Lightweight End-to-End Deep Learning Model
por: Hammad, Mohamed, et al.
Publicado: (2023)

End‐to‐end deep learning classification of vocal pathology using stacked vowels
por: Liu, George S., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_bqi28hlfslstiqdo7crcbs9ol3