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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
malware detection
biblio
Machine Learning based Malware Detection in Cloud Environment using Clustering Approach
Submitted by grigby1 on Wed, 05/05/2021 - 12:56pm
cloud
Cloud Computing
clustering
collaboration
collaboration agreements
composability
Computational modeling
cuckoo sandbox
False Positive Rate (FPR)
feature extraction
machine learning
malware
malware detection
policy-based governance
Principal Component Analysis (PCA)
pubcrawl
sandboxing
Scalability
Solid modeling
Training
Trend Micro Locality Sensitive Hashing (TLSH)
biblio
Relating the Empirical Foundations of Attack Generation and Vulnerability Discovery
Submitted by aekwall on Thu, 04/08/2021 - 4:34pm
security
malware detection
Data models
Resiliency
pubcrawl
software security
tools
program testing
Analytical models
Data mining
Trojan horses
computer viruses
Payloads
anti-virus
Compositionality
Trojan detection
security auditing
security testing
Information Reuse and Security
antivirus tool
automatic attack generation
automatic exploit generation
information foraging
vulnerability discovery
biblio
A Framework for Collecting and Analysis PE Malware Using Modern Honey Network (MHN)
Submitted by grigby1 on Thu, 03/04/2021 - 2:44pm
Windows operating system
security
composability
computer viruses
Computers
dynamic analysis techniques
feature extraction
file format information
invasive software
learning (artificial intelligence)
malware
Malware Analysis
malware collection technique
malware detection
malware information
malware PE file type formats
malware samples
Metrics
modern honey network
operating systems
operating systems (computers)
Payloads
PE file format
PE malware
pubcrawl
resilience
Resiliency
security threat
static analysis
static analysis techniques
Windows Operating System Security
windows-based malware
biblio
Advanced Behavior-Based Technique for Cryptojacking Malware Detection
Submitted by grigby1 on Wed, 02/10/2021 - 1:11pm
Monitoring
cryptocurrencies
pubcrawl
Human behavior
Metrics
resilience
Resiliency
Cryptography
Libraries
malware
malware detection
Browsers
Cybercrime
Ransomware
Multicore processing
behavioral analysis
cryptojacking
malicious mining
biblio
DeepMal: A CNN-LSTM Model for Malware Detection Based on Dynamic Semantic Behaviours
Submitted by aekwall on Mon, 02/08/2021 - 1:41pm
Scalability
malware
malware detection
invasive software
Data models
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Metrics
Neurons
pattern classification
Training
machine learning
convolutional neural nets
natural language processing
NLP techniques
convolution
recurrent neural nets
Human Factors
LSTM
Compositionality
high-level abstractions
CNN-LSTM model
Cyber Dependencies
component-CNN
cyber-criminals
deep learning framework
DeepMal
dynamic semantic behaviours
evil intentions
locally spatial correlations
malicious programs
malware classification task
sequential longterm dependency
biblio
DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters
Submitted by grigby1 on Fri, 01/22/2021 - 2:38pm
Cryptography
Predictive models
machine learning
Data mining
pubcrawl
Human behavior
Metrics
resilience
Resiliency
Scalability
Data models
Computational modeling
random forests
recurrent neural nets
cyberattacks
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
Long short-term memory
LSTM
defense mechanisms
advanced persistent threats
antivirus applications
APTs
behavior profiling
benign compression
classification model
collaborative attacks
computational resources
cryptographic operations
cryptojacking
cryptomining
DeCrypto Pro
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
biblio
A Malware Detection Method Based on Improved Fireworks Algorithm and Support Vector Machine
Submitted by aekwall on Mon, 12/14/2020 - 12:31pm
invasive software
support vector machine
Support vector machines
learning (artificial intelligence)
Resiliency
pubcrawl
composability
malware detection
particle swarm optimisation
particle swarm optimization
pattern classification
SVM
machine learning methods
genetic algorithms
Decision trees
Predictive Metrics
computer systems
classification performance
differential evolution
Evolutionary algorithms
Fireworks algorithm
improved fireworks algorithm
kernel function parameter
Levy Flights
Malware detection method
optimal parameter combination
penalty factor
signature-based anti-virus systems
biblio
C500-CFG: A Novel Algorithm to Extract Control Flow-based Features for IoT Malware Detection
Submitted by grigby1 on Fri, 12/11/2020 - 2:34pm
C500-CFG
C500-CFG algorithm
computational complexity
computer network security
control flow graph
control flow-based features
decom-piled executable codes
Ding's NP-hard problem
dynamic programming
feature extraction
feature information
graph theory
high-complexity programs
Human behavior
Internet of Things
invasive software
IoT
IoT malware detection
malicious code
Malware Analysis
malware detection
Metrics
privacy
pubcrawl
resilience
Resiliency
static characteristic extraction method
text analysis
text-based methods
biblio
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems
Submitted by grigby1 on Fri, 12/11/2020 - 2:33pm
attentional sequence models
Biological system modeling
Bit error rate
Cloud Computing
cloud computing environments
cloud-specific optimization problems
data privacy
deep federated defenses
feature extraction
feature representation
federated learning
graph neural networks
graph theory
Human behavior
hypergraph learning models
inductive graph
invasive software
learning (artificial intelligence)
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
neural nets
privacy
Privacy Requirements
pubcrawl
resilience
Resiliency
Task Analysis
Training
virtual machines
biblio
Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems
Submitted by grigby1 on Fri, 12/11/2020 - 2:32pm
adversarial learning
augmentation method
benign sample
CFG-based features
control flow graph-based features
craft adversarial IoT software
deep learning
deep learning networks
feature extraction
GEA approach
generated adversarial sample
graph analysis
graph embedding
graph theory
graph-based IoT malware detection systems
Human behavior
Internet of Things
invasive software
IoT malware samples
learning (artificial intelligence)
malware
Malware Analysis
malware detection
Metrics
off-the-shelf adversarial attack methods
privacy
pubcrawl
resilience
Resiliency
robust detection tools
security
static analysis
tools
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