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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
mobile botnet detection
biblio
Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks
Submitted by grigby1 on Tue, 03/09/2021 - 2:22pm
mobile devices
ISCX botnet dataset
learning (artificial intelligence)
machine learning
machine learning classifiers
malicious apps
Metrics
mobile botnet detection
mobile computing
invasive software
mobile operating systems
pattern classification
program diagnostics
pubcrawl
resilience
Resiliency
smart phones
static app features
CNN-based approach
Android botnet detection
Android Botnets
Android platform
Androids
botnet
botnet apps
Botnet detection
botnets
Android (operating system)
CNN-based model
composability
convolutional neural nets
convolutional neural networks
deep learning
feature extraction
Forestry
Humanoid robots
biblio
A New Mobile Botnet Classification Based on Permission and API Calls
Submitted by grigby1 on Mon, 04/02/2018 - 12:33pm
pubcrawl
malware
mobile botnet attacks
mobile botnet classification
mobile botnet detection
Mobile communication
mobile computing
pattern classification
program diagnostics
malicious mobile applications
random forest algorithm
random processes
resilience
Resiliency
smart phones
smartphone
static analysis
Android (operating system)
machine learning algorithms
machine learning
learning (artificial intelligence)
invasive software
Humanoid robots
Feature Selection
feature extraction
Drebin dataset
Compositionality
application programming interface
application program interfaces
APIs
API calls
Androids
Android botnet
biblio
Detecting mobile botnets through machine learning and system calls analysis
Submitted by grigby1 on Mon, 12/04/2017 - 12:57pm
malware
threat minimization
system call analysis
statistical feature extraction
statistical analysis
self-generated dataset
Resiliency
pubcrawl
pattern detection
Monitoring
Mobile handsets
mobile environment
mobile computing
Mobile communication
mobile botnet detection
Metrics
anomalous behavior identification
machine learning algorithms
machine learning
legitimate application
learning (artificial intelligence)
invasive software
Internet security
internet
host-based approach
feature extraction
desktop domain
computer network security
Compositionality
close-to-reality scenario
botnets
anomaly-based approach
