Data models

biblio

D-IDS for Cyber-Physical DER Modbus System - Architecture, Modeling, Testbed-based Evaluation

Submitted by grigby1 on Fri, 04/09/2021 - 11:32am

computer architecture
pubcrawl
Resiliency
computer network security
Data models
Computational modeling
Smart Grid
standards
composability
Denial of Service attacks
Protocols
CPS Security
standard protocols
Syntactics
resilience
data integrity
timing
distribution networks
IDS
distributed energy resources
distributed intrusion detection system
Modbus
analog data points
cyber-physical DER Modbus devices
D-IDS
data-integrity attacks
DER
DER inverters
DER Modbus communication
discrete data points
DoS packets
DoS type attacks
hardware-in-the-loop
hardware-in-the-loop CPS DER
IDS detection accuracy
IDS detection rate
IEEE 13-bus distribution grid
Modbus-specific IDS rule sets
model-based approach
native clear-text packet
open- source IDS rule syntax formats
physics-based threshold bands
testbed-based evaluation
time 0.25 ms
transaction-based threshold bands

biblio

Categorization and Organization of Database Forensic Investigation Processes

Submitted by grigby1 on Thu, 04/08/2021 - 5:10pm

Adaptation models
database management systems
Servers
Digital Forensics
pubcrawl
Human behavior
Metrics
resilience
Resiliency
Scalability
Data models
digital data
Databases
information forensics
Terminology
acquisition and preservation category
analysis and reconstruction category
Database forensic investigation
database forensic investigation processes
database forensics
design science research methodology
harmonized DBFI process
investigation process model
Planning
preparation and pre-response category

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

GDGCA: A Gene Driven Cache Scheduling Algorithm in Information-Centric Network

Submitted by aekwall on Thu, 04/08/2021 - 4:29pm

Scalability
Data models
Resiliency
pubcrawl
simulation
internet
resource allocation
telecommunication network routing
Throughput
ICN
Information Centric Networks
information entropy
scheduling
greedy algorithms
Stochastic processes
cache storage
Scheduling algorithms
telecommunication scheduling
information-centric networking
Accurate Poisson stream
cache capacity
Content analysis
content cache replacement
data popularity
Distributed cache scheduling
future network architecture
GDGCA
gene driven cache scheduling algorithm
gene driven greedy caching algorithm
ICN edge router
ICN environment
ICN scenario
information centered concept
information distribution scheduling algorithm
information epilepsy
Information Gene
information gene value
information-centric network
optimal simulation model
Poisson data volumes
QoE index
satisfaction degree
self-caching network
user-centered concept

biblio

Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest

Submitted by grigby1 on Tue, 03/30/2021 - 11:53am

1D-CNN model
actuators
Anomaly Detection
Auto-Encoder (AE)
control engineering computing
convolutional neural network (CNN)
Convolutional Neural Network models
Data models
feature extraction
feature extraction model
Forestry
ICs
ICS Anomaly Detection
industrial control
industrial control system
Industrial Control System (ICS)
industrial plants
Isolation Forest (IF)
isolation forest-based detection model
learning (artificial intelligence)
neural nets
process control
production engineering computing
pubcrawl
resilience
Resiliency
Scalability
secure water treatment
sensors
SWaT testbed

biblio

Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things

Submitted by grigby1 on Mon, 03/29/2021 - 1:13pm

Artificial Intelligence
Brain modeling
cognitive privacy
Data models
data privacy
eeg
electroencephalography
expert systems
Human Factors
IoT
neuroscience
Neurotechnology
privacy
psychology
pubcrawl
Scalability
Task Analysis

biblio

A General Difficulty Control Algorithm for Proof-of-Work Based Blockchains

Submitted by aekwall on Mon, 03/29/2021 - 12:09pm

Cryptography
Memory management
Data models
Resiliency
blockchain
neural nets
Neural networks
pubcrawl
Signal processing algorithms
signal processing
Compositionality
speech processing
hash algorithms
block difficulty
difficulty adjustment rules
difficulty control algorithm
efficient difficulty control algorithm
general difficulty control algorithm
hash rate
network hash rate
PoW based blockchains
Proof-of-Work based blockchains
two-layer neural network

biblio

Image Classification using Convolution Neural Network Based Hash Encoding and Particle Swarm Optimization

Submitted by aekwall on Mon, 03/29/2021 - 12:08pm

Classification algorithms
Data models
feature extraction
Resiliency
deep learning
particle swarm optimisation
particle swarm optimization
Training
convolutional neural nets
convolutional neural network
genetic algorithms
image classification
convolution neural network
pubcrawl
Predictive models
visualization
image retrieval
Compositionality
sequential model
file organisation
hash algorithms
TV
Intelligent vehicles
hash encoding
hashing techniques
high-performance image classifier models
Image analysis
inception model
marketing
transfer values
TRV

biblio

Dynamic Information Flow Tracking for Embedded Binaries using SystemC-based Virtual Prototypes

Submitted by grigby1 on Mon, 03/29/2021 - 12:03pm

security of data
Engines
security
pubcrawl
Metrics
resilience
Resiliency
embedded systems
Data models
Prototypes
composability
C++ languages
data flow analysis
security vulnerabilities
security policies
vehicle dynamics
Dynamic Information Flow Tracking
accurate DIFT
DIFT engine
early DIFT
embedded binaries
existing DIFT approaches
security related exploits
SystemC-based virtual prototypes
virtual prototyping

biblio

A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data

Submitted by aekwall on Mon, 03/29/2021 - 11:59am

Scalability
malware
invasive software
Data models
machine learning algorithms
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Computational modeling
pattern classification
internet
Training
CNN
convolutional neural nets
convolutional neural network
generative adversarial networks
recurrent neural nets
malware samples
deep learning
generative adversarial network
LSTM
Predictive Metrics
machine learning approaches
antivirus companies
common threats
convolutional neural network (CNN)
cyber-security dangers
deep learning-based malware hunting technique
Generative Adversarial Network(GAN)
Imbalanced
imbalanced training data sets
long short term memory
Long Short Term Memory(LSTM)
multiple class classification problems
Opcode
opcode sequences
oversampling minority classes
Generative Adversarial Learning

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Cyber-Physical Systems Virtual Organization

Fostering collaboration among CPS professionals in academia, government, and industry

Data models

D-IDS for Cyber-Physical DER Modbus System - Architecture, Modeling, Testbed-based Evaluation

Categorization and Organization of Database Forensic Investigation Processes

Relating the Empirical Foundations of Attack Generation and Vulnerability Discovery

GDGCA: A Gene Driven Cache Scheduling Algorithm in Information-Centric Network

Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest

Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things

A General Difficulty Control Algorithm for Proof-of-Work Based Blockchains

Image Classification using Convolution Neural Network Based Hash Encoding and Particle Swarm Optimization

Dynamic Information Flow Tracking for Embedded Binaries using SystemC-based Virtual Prototypes

A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data