learning (artificial intelligence)

biblio

Reducing Data Complexity in Feature Extraction and Feature Selection for Big Data Security Analytics

Submitted by grigby1 on Fri, 02/08/2019 - 4:15pm

pubcrawl
heterogeneous data
Human behavior
input logs preprocessing
learning (artificial intelligence)
machine learning
machine learning algorithms
Metrics
network sensors
Feature Selection
pyspark
Python
python API
Resiliency
security
security of data
Task Analysis
apache spark
feature extraction
data mining techniques
Data mining
data complexity
cybersecurity threats
cybersecurity attacks
cyber security
computational complexity
composability
Complexity theory
big data security analytics
Big Data
artificial intelligence security
Artificial Intelligence
application program interfaces

biblio

A Malicious Attack on the Machine Learning Policy of a Robotic System

Submitted by grigby1 on Fri, 02/08/2019 - 4:14pm

machine learning algorithms
security of data
robots
robotics
robotic vehicle
Robotic system
Resiliency
real-time routing control
radiofrequency identification
Q learning algorithm
pubcrawl
mobile robots
Metrics
malicious attack
machine learning policy
robot operating systems
machine learning
learning (artificial intelligence)
intelligent robots
indirect attack
Human behavior
Cybersecurity
cyberattack
composability
autonomous vehicles
autonomous vehicle
artificial intelligence security
Artificial Intelligence
security

biblio

Drone Detection and Identification System Using Artificial Intelligence

Submitted by grigby1 on Fri, 02/08/2019 - 4:14pm

drone imagery
surveillance
robot vision
Resiliency
pubcrawl
OpenCV library
object detection
Metrics
machine learning
learning (artificial intelligence)
Image Processing
Human behavior
feature extraction
drones
drone industry
approaching drone
drone identification system
Detectors
detection
deep learning
control engineering computing
comprehensive drone detection system
composability
classifier
Cameras
camera images
autonomous aerial vehicles
artificial intelligence security
Artificial Intelligence

biblio

How Far Can We Push Flow Analysis to Identify Encrypted Anonymity Network Traffic?

Submitted by grigby1 on Thu, 01/31/2019 - 12:19pm

JonDonym
traffic flow Identification
traffic flow behavior
Traffic flow
Tor
tools
telecommunication traffic
Resiliency
resilience
pubcrawl
Protocols
Metrics
machine learning
learning (artificial intelligence)
anonymity
internet
I2P
Human Factors
Human behavior
flow analysis approach
encryption
encrypted anonymity network traffic
dataset
data privacy
Cryptography
composability
Bandwidth
anonymity network users

biblio

Adversarial mRMR against Evasion Attacks

Submitted by grigby1 on Mon, 01/21/2019 - 12:39pm

security
novel adversary-aware feature selection algorithm
pattern classification
Perfect Knowledge attack scenarios
popular filter algorithms
pubcrawl
Resiliency
robust feature selection algorithms
Scalability
mRMR
security of data
security sensitive applications
Time complexity
Traditional Wrapped Feature Selection algorithm
Training
TWFS
WAFS
wrapped adversarial feature selection algorithm
Feature Selection
adversarial mRMR
adversary attacks
Adversary Models
Classification algorithms
computational complexity
evasion attacks
FAFS
feature extraction
adversarial feature selection
feature selection process
filter model
filtering algorithms
Human behavior
learning (artificial intelligence)
machine learning
machine learning algorithms
Metrics

biblio

PUF Modeling Attack using Active Learning

Submitted by grigby1 on Mon, 01/21/2019 - 12:39pm

learning efficiency
uncertainty
Training
state-of-the-art attacking methods
security
secure hardware systems
Scalability
Resiliency
PUF modeling attack
pubcrawl
physical unclonable function modeling attack
passive learning
Noise measurement
Metrics
active learning techniques
learning (artificial intelligence)
intelligent adversaries
Human behavior
hardware security techniques
hardware security field
Hardware
delays
Cryptography
CRP
Computational modeling
challenge-response pair
Adversary Models
adaptive adversaries

biblio

Adversarial Examples for Generative Models

Submitted by grigby1 on Mon, 01/21/2019 - 12:38pm

learning (artificial intelligence)
variational techniques
VAE-GAN architecture attacks
vae gan
vae
Training
target generative network
target generative model
Scalability
Resiliency
Receivers
pubcrawl
neural net architectures
neural net architecture
Metrics
machine learning
adversarial example
input data distribution model
image representation
Image reconstruction
Image coding
image classification
Human behavior
Generative Models
deep learning architectures
deep generative models
Decoding
Data models
classifier
classification-based adversaries
Adversary Models
adversarial examples

biblio

Automated Threat Report Classification over Multi-Source Data

Submitted by grigby1 on Mon, 01/21/2019 - 12:37pm

multisource data
Training
threat report documents
Threat report
Standards organizations
security of data
security
Scalability
Resiliency
pubcrawl
pattern classification
Organizations
NLP
natural language processing techniques
natural language processing
advanced persistent threats
Metrics
machine learning model
learning (artificial intelligence)
Human behavior
feature extraction
enterprise system defenders
document handling
defense systems
Data mining
command and control systems
collaboration
business data processing
bias correction
automated threat report classification

biblio

LipPass: Lip Reading-based User Authentication on Smartphones Leveraging Acoustic Signals

Submitted by grigby1 on Mon, 01/21/2019 - 12:28pm

privacy protection
learning (artificial intelligence)
lip movement patterns
lip reading-based user authentication system
LipPass
Lips
message authentication
mobile computing
pattern classification
Human behavior
pubcrawl
replay attacks
Resiliency
smart phones
Smartphones
spoofer detectors
support vector machine
Support vector machines
biometric-based authentication
Acoustic signal processing
acoustic signals
Acoustics
audio signal processing
authentication
authorisation
binary classifiers
binary tree-based authentication
Acoustic Fingerprints
build-in audio devices
composability
Data protection
deep learning-based method
Doppler effect
Doppler profiles
feature extraction

biblio

Vulnerability Detection on Mobile Applications Using State Machine Inference

Submitted by grigby1 on Mon, 01/21/2019 - 12:15pm

Mobile Applications
vulnerability detection
testing methodology
testing
state machine learning
state machine inference
security violations
security of data
security
Resiliency
pubcrawl
program testing
model inference
mobile computing
Android (operating system)
mobile application security
Mobile Application
mobile Android applications
Metrics
machine learning
learning (artificial intelligence)
Inference algorithms
Humanoid robots
Human behavior
finite state machines
Compositionality
Androids

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

learning (artificial intelligence)

Reducing Data Complexity in Feature Extraction and Feature Selection for Big Data Security Analytics

A Malicious Attack on the Machine Learning Policy of a Robotic System

Drone Detection and Identification System Using Artificial Intelligence

How Far Can We Push Flow Analysis to Identify Encrypted Anonymity Network Traffic?

Adversarial mRMR against Evasion Attacks

PUF Modeling Attack using Active Learning

Adversarial Examples for Generative Models

Automated Threat Report Classification over Multi-Source Data

LipPass: Lip Reading-based User Authentication on Smartphones Leveraging Acoustic Signals

Vulnerability Detection on Mobile Applications Using State Machine Inference