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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
malware detection
biblio
A Framework for Collecting and Analysis PE Malware Using Modern Honey Network (MHN)
Submitted by grigby1 on Thu, 03/04/2021 - 1:44pm
PE malware
malware PE file type formats
malware samples
Metrics
modern honey network
operating systems
operating systems (computers)
Payloads
PE file format
malware information
resilience
security
security threat
static analysis techniques
Windows operating system
Windows Operating System Security
windows-based malware
static analysis
malware detection
malware collection technique
Malware Analysis
malware
learning (artificial intelligence)
invasive software
file format information
feature extraction
dynamic analysis techniques
Computers
computer viruses
Resiliency
composability
Human behavior
pubcrawl
biblio
Advanced Behavior-Based Technique for Cryptojacking Malware Detection
Submitted by grigby1 on Wed, 02/10/2021 - 12:11pm
malware
malicious mining
cryptojacking
behavioral analysis
Multicore processing
Ransomware
Cybercrime
Browsers
malware detection
Monitoring
Libraries
Cryptography
Resiliency
resilience
Metrics
Human behavior
pubcrawl
cryptocurrencies
biblio
DeepMal: A CNN-LSTM Model for Malware Detection Based on Dynamic Semantic Behaviours
Submitted by aekwall on Mon, 02/08/2021 - 12:41pm
cyber-criminals
recurrent neural nets
Human Factors
LSTM
Compositionality
high-level abstractions
CNN-LSTM model
Cyber Dependencies
component-CNN
convolution
deep learning framework
DeepMal
dynamic semantic behaviours
evil intentions
locally spatial correlations
malicious programs
malware classification task
sequential longterm dependency
Metrics
malware
malware detection
invasive software
Data models
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Scalability
Neurons
pattern classification
Training
machine learning
convolutional neural nets
natural language processing
NLP techniques
biblio
DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters
Submitted by grigby1 on Fri, 01/22/2021 - 1:38pm
DeCrypto Pro
LSTM
defense mechanisms
advanced persistent threats
antivirus applications
APTs
behavior profiling
benign compression
classification model
collaborative attacks
computational resources
cryptographic operations
cryptojacking
cryptomining
Long short-term memory
DeCrypto Profiler framework
deep cryptomining profiler
mission-critical cybersystems
model selection
operating context profiling system
performance counters
Ransomware
system features
system functionalities
Trojan Laziok
utility function
Windows performance counters
cyberattacks
Predictive models
machine learning
Data mining
pubcrawl
Human behavior
Metrics
resilience
Resiliency
Scalability
Data models
Computational modeling
random forests
recurrent neural nets
Cryptography
deep learning
pattern classification
malware
invasive software
malware detection
nearest neighbour methods
k-nearest neighbors
Random Forest
advanced persistent threat
APT
deep neural networks
encoding
biblio
A Malware Detection Method Based on Improved Fireworks Algorithm and Support Vector Machine
Submitted by aekwall on Mon, 12/14/2020 - 11:31am
Levy Flights
SVM
Support vector machines
support vector machine
signature-based anti-virus systems
Resiliency
pubcrawl
Predictive Metrics
penalty factor
pattern classification
particle swarm optimization
particle swarm optimisation
optimal parameter combination
Malware detection method
malware detection
machine learning methods
threat vectors
learning (artificial intelligence)
kernel function parameter
invasive software
improved fireworks algorithm
genetic algorithms
Fireworks algorithm
Evolutionary algorithms
differential evolution
Decision trees
computer systems
composability
classification performance
privacy
Measurement
biblio
C500-CFG: A Novel Algorithm to Extract Control Flow-based Features for IoT Malware Detection
Submitted by grigby1 on Fri, 12/11/2020 - 1:34pm
Internet of Things
text-based methods
text analysis
static characteristic extraction method
Resiliency
resilience
pubcrawl
privacy
Metrics
malware detection
Malware Analysis
malicious code
IoT malware detection
IoT
invasive software
C500-CFG
Human behavior
high-complexity programs
graph theory
feature information
feature extraction
dynamic programming
Ding's NP-hard problem
decom-piled executable codes
control flow-based features
control flow graph
computer network security
computational complexity
C500-CFG algorithm
biblio
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems
Submitted by grigby1 on Fri, 12/11/2020 - 1:33pm
neural nets
machine learning
machine learning models
malware
Malware Analysis
malware containment
malware detection
Malware-Detection-Cloud-Computing-Graph-Neural-Networks-Federated-Learning-Multicloud-Natural-Language-Processing
Metrics
learning (artificial intelligence)
privacy
Privacy Requirements
pubcrawl
resilience
Resiliency
Task Analysis
Training
virtual machines
feature representation
Biological system modeling
Bit error rate
Cloud Computing
cloud computing environments
cloud-specific optimization problems
data privacy
deep federated defenses
feature extraction
attentional sequence models
federated learning
graph neural networks
graph theory
Human behavior
hypergraph learning models
inductive graph
invasive software
biblio
Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems
Submitted by grigby1 on Fri, 12/11/2020 - 1:32pm
privacy
invasive software
IoT malware samples
learning (artificial intelligence)
malware
Malware Analysis
malware detection
Metrics
off-the-shelf adversarial attack methods
Internet of Things
pubcrawl
resilience
Resiliency
robust detection tools
security
static analysis
tools
adversarial learning
Human behavior
graph-based IoT malware detection systems
graph theory
graph embedding
graph analysis
generated adversarial sample
GEA approach
feature extraction
deep learning networks
deep learning
craft adversarial IoT software
control flow graph-based features
CFG-based features
benign sample
augmentation method
biblio
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection
Submitted by aekwall on Mon, 11/30/2020 - 11:03am
LSTM
Internet-scale Computing Security
sequential processing layers
ScriptNet system
Privacy-invasive software
preinformant learning
PIL model
neural static analysis
Neural models
neural malicious JavaScript detection
JavaScript files
Internet-scale processing
discriminative training
computer infection threat vector
policy governance
deep learning model
malware
deep learning
program diagnostics
Java
Vectors
machine learning
Neural networks
neural nets
Metrics
malware detection
composability
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
invasive software
biblio
PREEMPT: PReempting Malware by Examining Embedded Processor Traces
Submitted by grigby1 on Fri, 10/30/2020 - 11:19am
learning (artificial intelligence)
zero overhead
tools
software-based AVS
security
Scalability
real-time systems
pubcrawl
program debugging
processor traces
PREEMPT malware
post-silicon validation
malware detection
malware
machine learning-based classifiers
low-latency technique
anti-virus software tools
invasive software
i-o systems security
I-O Systems
HPC
hardware-level observations
Hardware performance counters
Hardware
ETB
embedded trace buffer
embedded systems
embedded processor traces
debug hardware component
Databases
computer viruses
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