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Malicious PowerShell Detection Using Attention against Adversarial Attacks

https://doi.org/10.3390/electronics9111817

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-40667-1_20openalex-snapshot

MtNet: A Multi-Task Neural Network for Dynamic Malware Classification

inferredcites →https://doi.org/10.1007/978-3-319-66399-9_4openalex-snapshot

Adversarial Examples for Malware Detection

inferredcites →https://doi.org/10.1109/acsac.2007.21openalex-snapshot

Limits of Static Analysis for Malware Detection

inferredcites →https://doi.org/10.1109/icassp.2013.6638293openalex-snapshot

Large-scale malware classification using random projections and neural networks

inferredcites →https://doi.org/10.1109/icassp.2015.7178304openalex-snapshot

Malware classification with recurrent networks

inferredcites →https://doi.org/10.1109/imcsit.2009.5352759openalex-snapshot

Malware detection using machine learning

inferredcites →https://doi.org/10.1109/malware.2015.7413680openalex-snapshot

Deep neural network based malware detection using two dimensional binary program features

inferredcites →https://doi.org/10.1109/sp.2016.41openalex-snapshot

Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3196494.3196511openalex-snapshot

Detecting Malicious PowerShell Commands using Deep Neural Networks

inferredcites →https://doi.org/10.1155/2015/659101openalex-snapshot

A Novel Approach to Detect Malware Based on API Call Sequence Analysis

inferredcites →https://doi.org/10.18653/v1/d15-1044openalex-snapshot

A Neural Attention Model for Abstractive Sentence Summarization

inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot

GAN（Generative Adversarial Nets）

inferredcites →https://doi.org/10.3390/app10155173openalex-snapshot

Combined kNN Classification and Hierarchical Similarity Hash for Fast Malware Detection

inferredcites →https://doi.org/10.3390/s20102893openalex-snapshot

Attention-Based Automated Feature Extraction for Malware Analysis

inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot

Neural Machine Translation by Jointly Learning to Align and Translate

inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-snapshot

Explaining and Harnessing Adversarial Examples

inferredcites →https://doi.org/10.48550/arxiv.1705.08131openalex-snapshot

Black-Box Attacks against RNN based Malware Detection Algorithms

inferredcites →https://doi.org/10.48550/arxiv.1805.06605openalex-snapshot

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

inferredcites →https://doi.org/10.5626/jok.2018.45.12.1233openalex-snapshot

Malware Detection Model with Skip-Connected LSTM RNN

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-20029-8_11openalex-snapshot

An Attention Mechanism for Visualizing Word Weights in Source Code of PowerShell Samples: Experimental Results and Analysis

inferred← citeshttps://doi.org/10.1007/978-3-031-86637-1_10openalex-snapshot

Unlocking the Power of Machine Learning in Cybersecurity Forensics: Identifying Malicious Files

inferred← citeshttps://doi.org/10.1016/j.cose.2022.102658openalex-snapshot

MPSAutodetect: A Malicious Powershell Script Detection Model Based on Stacked Denoising Auto-Encoder

inferred← citeshttps://doi.org/10.1016/j.cose.2025.104441openalex-snapshot

Power-ASTNN: A deobfuscation and AST neural network enabled effective detection method for malicious PowerShell Scripts

inferred← citeshttps://doi.org/10.1109/dsn53405.2022.00039openalex-snapshot

Invoke-Deobfuscation: AST-Based and Semantics-Preserving Deobfuscation for PowerShell Scripts

inferred← citeshttps://doi.org/10.1109/icaiet65052.2025.11211485openalex-snapshot

Robust Detection of Evasive Fileless Powershell Malware: A Machine Learning Approach

inferred← citeshttps://doi.org/10.14801/jkiit.2024.22.12.175openalex-snapshot

MQTT-based IDS Evasion Method using GPT

inferred← citeshttps://doi.org/10.3390/app11146429openalex-snapshot

Malicious Powershell Detection Using Graph Convolution Network

inferred← citeshttps://doi.org/10.3390/app122312306openalex-snapshot

Novel Feature Extraction Method for Detecting Malicious MQTT Traffic Using Seq2Seq

inferred← citeshttps://doi.org/10.3390/electronics11081283openalex-snapshot

Adversarial Attack and Defense: A Survey

inferred← citeshttps://doi.org/10.3390/electronics14152924openalex-snapshot

TSE-APT: An APT Attack-Detection Method Based on Time-Series and Ensemble-Learning Models

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