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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
testing
biblio
A Novel Machine Learning Based Malware Detection and Classification Framework
Submitted by aekwall on Mon, 10/26/2020 - 12:13pm
complex malware types
Predictive Metrics
computer systems
Feature Selection
dynamic analysis
feature selection algorithms
machine learning models
classification accuracy
accurate malware detection
analysis report
classification framework
malware samples
fine-grained classification
high detection
malware analysis framework
malware files
minimum computation cost
selection module
signature-based malware detection techniques
system activities
time progresses
Training
invasive software
machine learning algorithms
feature extraction
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
Metrics
pattern classification
malware
machine learning
testing
privacy
Virtual machining
Malware Analysis
cuckoo sandbox
malware classification
malware detection
static and dynamic analysis
biblio
Behavioral malware analysis algorithm comparison
Submitted by aekwall on Mon, 10/26/2020 - 12:12pm
tools
behavioral malware analysis
Sensitivity
Predictive Metrics
behavioral analysis
computer viruses
Malware Analysis
privacy
testing
computer security
Prediction algorithms
malware
Metrics
Algorithms
pubcrawl
Human behavior
Resiliency
machine learning
learning (artificial intelligence)
machine learning algorithms
malware detection
biblio
The Role of Interactivity in Local Differential Privacy
Submitted by grigby1 on Mon, 10/05/2020 - 1:49pm
fully interactive compositional protocol
testing
pubcrawl
Protocols
privacy guarantee
privacy
local differential privacy
Interaction
hypothesis testing problem
Compositionality
equivalent sequentially interactive protocol
differential privacy
data privacy
Compounds
Complexity theory
Computing Theory and Compositionality
Human Factors
Human behavior
biblio
Rethinking Location Privacy for Unknown Mobility Behaviors
Submitted by aekwall on Mon, 09/28/2020 - 12:02pm
blank-slate models
Computing Theory and Privacy
Zirconium
unknown mobility
sporadic hardwired models
Quantifying privacy
profile estimation-based LPPM
privacy properties
nonsporadic location privacy scenarios
mobility patterns
Mobility Models
mechanism design
LPPM design
location privacy-preserving mechanisms
location privacy service
location privacy protections
Scalability
blank-slate approach
design phase
location privacy
Training data
data privacy
testing
Training
Data protection
privacy
pubcrawl
Human behavior
Resiliency
Data models
mobile computing
biblio
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Submitted by aekwall on Mon, 09/21/2020 - 3:36pm
adversarial inputs
Cross Layer Security
verification cross-layer ensemble
unsupervised model
supervised model verification ensemble
representative attacks
noise reduction
MODEF
Manifolds
ensemble diversity
ensemble defense
defense-attack arms race
defense success rates
cross-layer model diversity ensemble framework
black-box adversarial attacks
benign inputs
security of data
adversarial deep learning
composability
DNNs
adversarial examples
machine learning tasks
deep neural networks
Predictive models
testing
Training
Neural networks
neural nets
Robustness
pubcrawl
Resiliency
learning (artificial intelligence)
biblio
Synonym-based Attack to Confuse Machine Learning Classifiers Using Black-box Setting
Submitted by grigby1 on Fri, 09/04/2020 - 4:11pm
machine learning algorithms
ML models
black-box setting
black-box attack
Blogs
bot tweets
bots
convolutional neural network
deep learning classifiers
testing
machine learning classifiers
ML-based bot detection algorithms
ML-based models
popular content sharing platform
supervised learning
synonym-based attack
vulnerability constraints
Black Box Security
Resiliency
computer network security
invasive software
feature extraction
social networking (online)
Artificial Intelligence
pubcrawl
composability
Metrics
Cryptography
resilience
pattern classification
Training
learning (artificial intelligence)
machine learning
deep learning
Predictive models
biblio
Security and privacy in a middleware for large scale mobile and pervasive augmented reality
Submitted by grigby1 on Fri, 08/28/2020 - 12:32pm
pervasive augmented reality
virtual elements
ubiquitous computing
testing
security of data
security architecture
Scalability
resilience
pubcrawl
privacy architecture
privacy
pervasive large scale augmented reality games
pervasive computing
Application software
personal area networks
mobile computing
mobile augmented reality games
middleware architecture
middleware
Large-scale systems
information security
Human behavior
data privacy
computer games
computer architecture
augmented reality
biblio
Commercial Security Scanning: Point-on-Sale (POS) Vulnerability and Mitigation Techniques
Submitted by aekwall on Mon, 08/24/2020 - 12:46pm
PCI DSS
commercial security scanning
confidential customer payment information
expense management
labor reporting
mitigation techniques
on-premise POS
Payment Card Industry Data Security Standard
Payment Card Industry Data Security Standard (PCI DSS)
cloud-bases POS
penetration attacks
Point of Sale (POS)
point-on-sale vulnerability
POS system
price adjustment
Sale systems
Autonomic Security
testing
Servers
security
Resiliency
pubcrawl
composability
standards
Cybersecurity
Business
security of data
cyber-attacks
Industries
security measures
wireless networks
financial data processing
Human Errors
cash flow
biblio
Test-Driven Anonymization for Artificial Intelligence
Submitted by grigby1 on Thu, 08/13/2020 - 5:07pm
anonymization efforts
artificial intelligence security
test-driven anonymization approach
Software Testing
regulatory requirements
Privacy Protections
nonfunctional quality
k-anonymity
internal requirements
Insurance
functional suitability
functional quality
classification AIs
artificial intelligence tools
anonymized data
anonymization techniques
tools
anonymization
AI context
artificial intelligence technique
testing
Data protection
pattern classification
Production
health care
data privacy
Data models
pubcrawl
Artificial Intelligence
Predictive models
security of data
biblio
An Analytical Framework for Security-Tuning of Artificial Intelligence Applications Under Attack
Submitted by grigby1 on Thu, 08/13/2020 - 5:07pm
artificial intelligence applications
artificial intelligence security
signal classification
security-tuning
perturbation attack
parameters tuning
ML parameters
ML experts
ML algorithms
medical signal processing
k-nearest neighbors algorithm
input data perturbation attack
electroencephalography
electroencephalogram signals
EEG dataset
data classification
learning (artificial intelligence)
analytical framework
AI application
classification accuracy
tuning
testing
Prediction algorithms
Perturbation methods
machine learning algorithms
optimization
pubcrawl
Artificial Intelligence
security
machine learning
security of data
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