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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
invasive software
biblio
Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense
Submitted by Katie Dey on Mon, 08/06/2018 - 1:23pm
feature manipulations
Windows application programming interface calls
Windows API calls
security regularization term
secure-learning paradigm
SecDefender
portable executable files
PE files
pattern classification
malware detection
malware
learning-based classifier
learning (artificial intelligence)
invasive software
Adversarial Machine Learning
feature extraction
Extraction
EvnAttack
evasion cost
evasion attack model
Evasion Attack and Defense
Data models
Data mining
computer security
Comodo cloud security center
classifier retraining technique
application program interfaces
Cognitive Security
Articles of Interest
Extraction
C3E 2019
biblio
SIN2: Stealth infection on neural network \#x2014; A low-cost agile neural Trojan attack methodology
Submitted by grigby1 on Fri, 07/06/2018 - 2:06pm
neural computing framework
Trojan horses
third-party cloud based machine learning as a service
static neural network model
software algorithm level
SIN2
security
Scalability
Runtime
Resiliency
resilience
pubcrawl
portable DNN computing engine
Payloads
Neural networks
neural nets
AI Poisoning
low-cost modular methodology-stealth infection on neural network
low-cost agile neural Trojan attack methodology
learning (artificial intelligence)
invasive software
Intelligent systems
intelligent supply chain
intelligent service supply chain
Human behavior
dynamic runtime system
DNN security
Deep Neural Network
Computational modeling
Cloud Computing
artificial intelligence industry
biblio
The dose makes the poison \#x2014; Leveraging uncertainty for effective malware detection
Submitted by grigby1 on Fri, 07/06/2018 - 2:05pm
Resiliency
Organizations
OS processes
Plan B
potential malware
promising avenue
pubcrawl
received borderline classifications
resilience
malware
Scalability
sensitive information
software execution
Standards organizations
time-consuming
traditional ML detectors
traditional ML methods
uncertain environment
devastating consequences
AI Poisoning
analyzed benign software
behavioral-based malware detectors
Chameleon
CPU-bound software
deep analysis
deep learning models
Detectors
100 malware samples
effective malware detection
Human behavior
I/O-bound software
Interference
invasive software
learning (artificial intelligence)
Linux
biblio
Binary malware image classification using machine learning with local binary pattern
Submitted by grigby1 on Wed, 06/20/2018 - 12:56pm
machine learning
visualization
Trojan horses
Support vector machines
Resiliency
resilience
pubcrawl
privacy
pattern classification
Metrics
malware images
malware classification methodology
malware classification
malware
binary image
local binary pattern
learning (artificial intelligence)
LBP feature
invasive software
image texture
image descriptors
Image color analysis
image classification
Human behavior
feature extraction
Cyber-security
classification
binary malware image classification
biblio
Classification of Malware programs using autoencoders based deep learning architecture and its application to the microsoft malware Classification challenge (BIG 2015) dataset
Submitted by grigby1 on Wed, 06/20/2018 - 12:56pm
privacy
microcontrollers
Microsoft Malware Classification Challenge BIG2015
microsoft malware Classification challenge dataset
neural network
pattern classification
Pattern recognition
pattern recognition algorithms
principle component analysis
Metrics
pubcrawl
resilience
Resiliency
security
sensors
superior architecture
Time factors
gray scale images
autoencoder
classification process
classifier
Cybersecurity
deep learning
deep learning architecture
Devices
Global Positioning System
Acoustics
Human behavior
invasive software
Latches
learning (artificial intelligence)
malicious programs
malware classification
malware programs
biblio
Profile hidden Markov model for malware classification \#x2014; usage of system call sequence for malware classification
Submitted by grigby1 on Wed, 06/20/2018 - 12:55pm
obfuscation
Trojan horses
tools
system call sequence
system call
Resiliency
resilience
pubcrawl
proteins
protein sequences
profile hidden markov model
privacy
pattern classification
obfuscation technique
bioinformatics
microsoft windows
Metrics
malware technology
malware files
malware classification
malware
invasive software
Human behavior
Hidden Markov models
Grippers
DNA sequences
DNA
biological informatics
biblio
EntropyVis: Malware classification
Submitted by grigby1 on Wed, 06/20/2018 - 12:55pm
malicious Windows Portable Executable files
visualization analysis
visualization
Resiliency
resilience
pubcrawl
privacy
nearest neighbour methods
Metrics
malware writers
malware variants
malware similarity
malware features
malware classification
malware
Brightness
local entropy images
kNN algorithm
k-Nearest Neighbor classification algorithm
Jaccard index
invasive software
image classification
Human behavior
Generators
feature extraction
EntropyVis
entropy pixel images
Entropy
Data visualization
data visualisation
biblio
Scalable Framework for Accurate Binary Code Comparison
Submitted by grigby1 on Wed, 06/20/2018 - 12:50pm
maximum common subgraph
CG
comparison algorithm
empiric results heuristic method
exact matches
extensive binaries
forward slicing
functions matching process parallelization
heavily modified functions
high matching quality
IdaPro disassembler
main stages
matched vertices
matching process
call graph
old versions
PDG
practical applications
program dependence graph
programmatic changes
real world libraries
scalable framework
slightly modified functions
statically linked libraries
target program
unchanged modified functions
well-known bugs prevention
Libraries
graph theory
privacy
pubcrawl
Human behavior
invasive software
Algorithm design and analysis
tools
Semantics
Cloning
program diagnostics
Malware Analysis
resilience
Metrics
static analysis
Computer bugs
Resiliency
program debugging
Program slicing
Binary codes
accurate binary code comparison
backward slicing
binary code clone detection
Binary code comparison
binary files
Binnavi platform
calculated heuristics
biblio
Parallelization of Machine Learning Applied to Call Graphs of Binaries for Malware Detection
Submitted by grigby1 on Wed, 06/20/2018 - 12:50pm
program compilers
machine learning algorithms
malware
Malware Analysis
malware detection
Metrics
OpenMP version
parallelization
privacy
machine learning
pubcrawl
resilience
Resiliency
shortest path graph kernel
SPGK
support vector machine
Support vector machines
SVM
graph theory
Binary Analysis
byte-level n-grams
call graphs
compiler intermediate representations
compiler techniques
dynamic trace analysis
Engines
feature extraction
adaptive learning-based techniques
graph-based program representations
graphics processing units
Heterogeneous computing
Human behavior
invasive software
Kernel
learning (artificial intelligence)
biblio
DNS graph mining for malicious domain detection
Submitted by grigby1 on Wed, 06/20/2018 - 12:50pm
multiple malicious domains
IP resolutions
labeled domains
malicious domain detection technique
malicious probabilities
Malware Analysis
malware detection
Markov processes
message passing
Metrics
IP networks
Nickel
potential malicious domains
privacy
probability
pubcrawl
resilience
Resiliency
variety cyber attacks
graph mining
belief propagation
belief propagation algorithm
computer network security
cyber security
Data mining
DNS data servers
DNS graph mining
Domain Resolution
Graph Interface
attackers
graph mining task
graph node
graph theory
graph-based interface
Human behavior
Inference algorithms
internet
invasive software
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