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1804.04177
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Detecting Malicious PowerShell Commands using Deep Neural Networks
11 April 2018
Danny Hendler
Shay Kels
Amir Rubin
AAML
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Papers citing
"Detecting Malicious PowerShell Commands using Deep Neural Networks"
9 / 9 papers shown
Title
ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation
Hisham Alasmary
Afsah Anwar
Ahmed A. Abusnaina
Abdulrahman Alabduljabbar
Mohammad Abuhamad
An Wang
Daehun Nyang
Amro Awad
David A. Mohaisen
21
12
0
26 Mar 2021
Peeler: Profiling Kernel-Level Events to Detect Ransomware
Muhammad Ejaz Ahmed
Hyoungshick Kim
S. Çamtepe
Surya Nepal
25
28
0
29 Jan 2021
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
Rui Shu
Tianpei Xia
Laurie A. Williams
Tim Menzies
AAML
70
16
0
23 Nov 2020
AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings
Amir Rubin
Shay Kels
Danny Hendler
47
2
0
23 May 2019
PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware
Denis Ugarte
Davide Maiorca
Fabrizio Cara
Giorgio Giacinto
24
24
0
23 Apr 2019
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection
Jack W. Stokes
Rakshit Agrawal
Geoff McDonald
Matthew J. Hausknecht
26
11
0
01 Apr 2019
Grammar Based Directed Testing of Machine Learning Systems
Sakshi Udeshi
Sudipta Chattopadhyay
74
15
0
26 Feb 2019
AST-Based Deep Learning for Detecting Malicious PowerShell
Gili Rusak
Abdullah Al-Dujaili
Una-May O’Reilly
43
41
0
03 Oct 2018
Neural Classification of Malicious Scripts: A study with JavaScript and VBScript
Jack W. Stokes
Rakshit Agrawal
Geoff McDonald
28
10
0
15 May 2018
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