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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
graph theory
biblio
From Big Data to Knowledge: Issues of Provenance, Trust, and Scientific Computing Integrity
Submitted by
aekwall
on Mon, 10/28/2019 - 9:39am
security of data
Big Data
Conferences
data integrity
Trusted Computing
Resiliency
pubcrawl
graph theory
Computational modeling
trust
provenance graphs
cognition
Semantics
inference mechanisms
Predictive Metrics
data provenance
scientific information systems
Compositionality
cognitive systems
data science
Data validity
data-intensive science and engineering
Knowledge engineering
knowledge provenance
malicious attacks
natural environmental changes
operations mistakes
provenance-based trust reasoning
SCI failures
scientific computing integrity
scientific workflows
Variety
Veracity
Viewpoints
views
Scientific Computing Security
biblio
Evaluation of Two RFID Traffic Models with Potential in Anomaly Detection
Submitted by
grigby1
on Wed, 10/02/2019 - 2:03pm
Adaptation models
Anomaly Detection
anomaly/intrusion detection
Bayes methods
Bayesian Blocks
binned RFID command counts
Computational modeling
graph theory
Human behavior
Human Factors
IEC standards
IoT
ISO standards
Knuth's Rule
modeling algorithms
modeling technique
NFC
piecewise graphs
pubcrawl
radiofrequency identification
resilience
Resiliency
RFID
RFID security
RFID traces
RFID traffic models
RFID traffic patterns
RFIDs
telecommunication security
telecommunication traffic
traffic characterization
biblio
Graph-Based APT Detection
Submitted by
grigby1
on Mon, 06/10/2019 - 12:59pm
advanced persistent threats
antiviruses
Approximation algorithms
Batch production systems
Browsers
detection system
graph model
graph theory
graph-based APT detection
HTTP traffic
Human behavior
Image edge detection
invasive software
Malware Analysis
Metrics
Organizations
privacy
Protocols
pubcrawl
Resiliency
Servers
undocumented attacks
Web interface
biblio
AppDNA: App Behavior Profiling via Graph-Based Deep Learning
Submitted by
grigby1
on Mon, 06/10/2019 - 12:59pm
app behavior profiling
app recommendation
AppDNA
benign apps
encoding
feature extraction
function-call-graph-based app profiling
graph theory
graph-based deep learning
graph-encoding method
Human behavior
invasive software
learning (artificial intelligence)
machine learning
malicious apps
malware
Malware Analysis
malware classification
malware detection
Metrics
mobile applications behaviors
mobile computing
Neural networks
pattern classification
Plagiarism
privacy
pubcrawl
Resiliency
Task Analysis
biblio
DLGraph: Malware Detection Using Deep Learning and Graph Embedding
Submitted by
grigby1
on Mon, 06/10/2019 - 12:59pm
application program interfaces
combined feature vector classification
deep learning
DLGraph
embedded systems
embedded vector
feature extraction
function-call graph
function-call graphs
graph embedding
graph theory
Human behavior
invasive software
learning (artificial intelligence)
Malware Analysis
malware detection
Metrics
microsoft windows
neural nets
noise reduction
pattern classification
privacy
pubcrawl
representation learning
Resiliency
SDA
softmax regression
stacked denoising autoencoders
static analysis
Trojan horses
Windows API calls
Windows application programming interface calls
biblio
Identification of Distributed Malware
Submitted by
grigby1
on Mon, 06/10/2019 - 12:59pm
android
Android malware
Android system
attackers
botnets
computer malware
computer viruses
distributed direction
distributed malware
fully functional portable computers
generic viruses
Google
graph matching algorithm
graph theory
Human behavior
inholding multiple applications
Labeling
malware
Malware Analysis
malware detection
malware prevention
malware writers
Metrics
mobile computing
Mobile handsets
multiple anti-virus apps
open source platform
personal data
privacy
pubcrawl
public domain software
Resiliency
security
Servers
simple worms
smart phones
smartphone revolution
sophisticated DDOS
static analysis
technological complexities increase
biblio
TINET: Learning Invariant Networks via Knowledge Transfer
Submitted by
grigby1
on Mon, 06/10/2019 - 12:59pm
dependency construction
enterprise security system
entity embedding
graph theory
heterogeneous categorical event
Human behavior
invariant network
knowledge transfer
Malware Analysis
Metrics
privacy
pubcrawl
Resiliency
biblio
Behavior-Based Community Detection: Application to Host Assessment In Enterprise Information Networks
Submitted by
grigby1
on Mon, 06/10/2019 - 12:58pm
Anomaly Detection
behavior modeling
community detection
Comparative Analysis
enterprise information network
entity embedding
graph theory
host assessment
Human behavior
Malware Analysis
Metrics
privacy
pubcrawl
Resiliency
biblio
Obfuscation Resilient Search Through Executable Classification
Submitted by
grigby1
on Mon, 06/10/2019 - 12:58pm
bytecode analysis
bytecode search
deep learning
executable search
graph theory
Human behavior
Malware Analysis
Metrics
obfuscation resilience
privacy
pubcrawl
Resiliency
biblio
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs
Submitted by
grigby1
on Mon, 06/10/2019 - 12:58pm
distributed graph processing
graph theory
Human behavior
loopy belief propagation
Malware Analysis
Metrics
privacy
pubcrawl
real-world graphs
Resiliency
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