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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
malware behavior
biblio
Cuckoo’s Malware Threat Scoring and Classification: Friend or Foe?
Submitted by
grigby1
on Fri, 03/27/2020 - 11:38am
tools
collaboration
information security
pubcrawl
policy-based governance
composability
pattern classification
malware
invasive software
sandboxing
cuckoo sandbox
dynamic analysis
automated tools
malicious software
malware behavior
Malware behavior analysis
malware detection
malware incident response
malware sample
malware threat classification
measured response
microsoft windows
sandbox
scoring classification
severity classification
threat alert
threat classification
threat classification rating
threat score
threat scoring
victim host system
Virtual machining
biblio
Bytecode Heuristic Signatures for Detecting Malware Behavior
Submitted by
aekwall
on Mon, 03/09/2020 - 11:13am
Monitoring
Scalability
malware
security
malware detection
invasive software
Resiliency
pubcrawl
digital signatures
Virtual machining
computational complexity
malware behavior
Prototypes
low performance overhead
Computer languages
virtual machines
Instruction sets
response time
behavior
behavior based detection
bytecode
bytecode heuristic signatures
hash-based signatures
heuristic
malicious applications
proactive approaches
proactive behavior heuristics
reactive security solutions
signature
Security Heuristics
predictability
biblio
A Malware Analysis and Artifact Capture Tool
Submitted by
aekwall
on Mon, 06/24/2019 - 2:41pm
artifact capture tool
debuggers
Decompilers
Disassemblers
dynamic control
dynamic states
handwriting recognition
Human behavior
interactive malware analysis
invasive software
malware
Malware Analysis
malware artifacts
malware behavior
Metrics
microsoft windows
Monitoring
multiple code paths
obfuscation
obfuscation techniques
process flow
pubcrawl
Resiliency
sandbox
source code (software)
static analysis
static states
Syntactics
tools
Windows
biblio
One-Shot Learning Approach for Unknown Malware Classification
Submitted by
grigby1
on Mon, 06/10/2019 - 2:02pm
Adaptation models
API Sequence
fewshot learning
Human behavior
intelligent protection systems
invasive software
learning (artificial intelligence)
Least Recently Used Access
malware
malware API calls sequence
malware behavior
malware classification
memory augmented neural network
Metrics
natural language processing
network systems
neural nets
Neural networks
Neural Turing Machine
One-shot learning
one-shot learning approach
one-shot learning network
pattern classification
privacy
pubcrawl
resilience
Resiliency
static analysis
Task Analysis
Training
unknown malware classification
Word2Vec
biblio
Intelligent Malware Detection Using Oblique Random Forest Paradigm
Submitted by
grigby1
on Mon, 06/10/2019 - 2:02pm
behavior-based detection techniques
classification accuracy
comprehensive malware detection
computerized online applications
decision tree learning models
Decision trees
false positive rate
feature extraction
Forestry
Human behavior
intelligent malware detection
invasive software
learning (artificial intelligence)
machine learning
machine learning solutions
malware behavior
malware classification
malware classification datasets
Metrics
Oblique Random Forest
oblique random forest ensemble learning technique
oblique random forest paradigm
pattern classification
privacy
pubcrawl
resilience
Resiliency
security community
signature-based detection techniques
stealthy malware
Support vector machines
Trojan horses
unknown malware
