advanced persistent threats

biblio

An Optimization Approach to Graph Partitioning for Detecting Persistent Attacks in Enterprise Networks

Submitted by grigby1 on Wed, 03/17/2021 - 11:44am

attack graphs
Chained Attacks
underlying attack
smaller incidents
skilled adversaries
security-context
security-aware partitions
Persistent attacks
optimization approach
multistep attacks
kill chain progression
graph partitioning
false-positives
enterprise networks
actual attack plan
advanced persistent threats
security of data
Linear programming
security perspective
graph theory
detection algorithms
standards
Topology
Scalability
Correlation
optimization
computer network security
Resiliency
resilience
pubcrawl
security

biblio

Practical Implementation of APTs on PTP Time Synchronisation Networks

Submitted by grigby1 on Fri, 01/22/2021 - 1:39pm

synchronisation
PTP time synchronisation networks
PTP infrastructure components
PTP
programmable Man-in-the-Middle
programmable injector device
precision time protocol
IEEE 1588
computer clocks
advanced persistent threats
Clocks
Degradation
Synchronization
cyber-attacks
security of data
APT
advanced persistent threat
malware
delays
Protocols
Scalability
Resiliency
resilience
Metrics
Human behavior
pubcrawl
security
Cyber-security

biblio

On the Detection of Persistent Attacks using Alert Graphs and Event Feature Embeddings

Submitted by grigby1 on Fri, 01/22/2021 - 1:38pm

data visualisation
word embedding
unsupervised clustering
persistent attacks detection
IP2Vec
IP address
Graph Models
feature embeddings
event feature embeddings
community detection
alert graphs
advanced persistent threats
security analysts
coordinated attacks
security of data
graph model
IDS
APT
advanced persistent threat
network security
Scalability
computer network security
Resiliency
resilience
Metrics
Human behavior
pubcrawl
Intrusion Detection Systems

biblio

DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters

Submitted by grigby1 on Fri, 01/22/2021 - 1:38pm

DeCrypto Pro
LSTM
defense mechanisms
advanced persistent threats
antivirus applications
APTs
behavior profiling
benign compression
classification model
collaborative attacks
computational resources
cryptographic operations
cryptojacking
cryptomining
Long short-term memory
DeCrypto Profiler framework
deep cryptomining profiler
mission-critical cybersystems
model selection
operating context profiling system
performance counters
Ransomware
system features
system functionalities
Trojan Laziok
utility function
Windows performance counters
cyberattacks
Predictive models
machine learning
Data mining
pubcrawl
Human behavior
Metrics
resilience
Resiliency
Scalability
Data models
Computational modeling
random forests
recurrent neural nets
Cryptography
deep learning
pattern classification
malware
invasive software
malware detection
nearest neighbour methods
k-nearest neighbors
Random Forest
advanced persistent threat
APT
deep neural networks
encoding

biblio

Pattern Extraction for Behaviours of Multi-Stage Threats via Unsupervised Learning

Submitted by grigby1 on Fri, 01/22/2021 - 12:39pm

Training data
pattern extraction
multistage threats
Multi-stage threats
malicious behaviour
Log-files Analysis
heterogeneous log-files
Cyber Threats Intelligence
Behaviour Analysis
advanced persistent threats
pattern clustering
Clustering algorithms
APT
advanced persistent threat
security of data
Cybersecurity
Scalability
Correlation
Resiliency
resilience
Metrics
Human behavior
pubcrawl
IP networks
Unsupervised Learning
data analysis
Anomaly Detection
feature extraction

biblio

Quickest Detection of Advanced Persistent Threats: A Semi-Markov Game Approach

Submitted by grigby1 on Fri, 01/22/2021 - 12:38pm

cyberattack
two-time scale Q-learning algorithm
Stackelberg zero-sum semi-Markov games
Stackelberg semiMarkov game
refinable attack investigation framework
real-word attack dataset
Rain
multistage attacks
Limiting average reward criteria
DIFT-based defender
Dynamic Information Flow Tracking
advanced persistent threats
q-learning
Markov processes
game theory
security of data
threat detection
APT
advanced persistent threat
Cyber Attacks
Games
Security analysis
Computational modeling
Scalability
Analytical models
Resiliency
resilience
Metrics
Human behavior
pubcrawl

biblio

Defense Against Advanced Persistent Threats: Optimal Network Security Hardening Using Multi-stage Maze Network Game

Submitted by grigby1 on Fri, 01/22/2021 - 12:37pm

Metrics
stealthy method
Stackelberg games
serious privacy leakage
security of data
Resiliency
resilience
reinforcement learning (RL)
pubcrawl
policy hill-climbing algorithm
policy hill-climbing
optimal network security
network attacks
Nash Equilibrium
multistage plan
Multistage Maze Network Game
game theoretic security
Markov processes
learning (artificial intelligence)
Human behavior
game-theoretic framework
game theory
game model
continuous method
attack graphs
APT
advanced persistent threats
advanced persistent threat
Predictive Metrics
Scalability
Human Factors

biblio

On the Use of Cyber Threat Intelligence (CTI) in Support of Developing the Commander's Understanding of the Adversary

Submitted by aekwall on Mon, 08/03/2020 - 9:38am

cyberspace operations
threat models
Adversary Attribution
adversary tactics
ATT&CK framework
ATT&CK®
communication and information system security
CTI field
cyber related crimes
decision making process
deception techniques
Decoys
military organization
Mission Planning
NATO Allied Command Transformation
NATO Communication and Information Agency
Adversary Models
tools
Servers
Organizations
security
Resiliency
Human behavior
pubcrawl
Metrics
Computer crime
Scalability
testing
indicators of compromise
Workstations
Cyberspace
military computing
cyber threat intelligence
advanced persistent threats

biblio

A survey of zero-day malware attacks and its detection methodology

Submitted by grigby1 on Fri, 07/10/2020 - 12:08pm

invasive software
zero-days
zero-day malware attacks
security systems
Resiliency
resilience
pubcrawl
Privacy-invasive software
Metrics
malware outbreaks
malware developers
malware detection
malware
large-scale attacks
advanced persistent threats
Human Factors
Human behavior
end-point security solutions
Electronic mail
detection methodology
detection
cryptojacking
Cryptography
Code Obfuscation
botnets
botnet
APT
analysis

biblio

A Game Theoretic Approach for Dynamic Information Flow Tracking with Conditional Branching

Submitted by aekwall on Mon, 06/08/2020 - 10:55am

Stochastic processes
linear optimization problem
Predictive Metrics
Human Factors
system security
Games
process control
computational complexity
probability
stochastic games
Analytical models
Data protection
reachability analysis
data flow analysis
pubcrawl
security
Scalability
security of data
conditional-branch tracking
polynomial-time algorithm
NetRecon attack
Linear programming
infinite-horizon undiscounted stochastic games
infinite-horizon stochastic game
DIFT
data-flow handling
control-flow commands
reachability probability
conditional branching
APT
advanced persistent threats
nonlinear programming
game theoretic security
Dynamic Information Flow Tracking
game theoretic approach
Nash Equilibrium

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Cyber-Physical Systems Virtual Organization

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

advanced persistent threats

An Optimization Approach to Graph Partitioning for Detecting Persistent Attacks in Enterprise Networks

Practical Implementation of APTs on PTP Time Synchronisation Networks

On the Detection of Persistent Attacks using Alert Graphs and Event Feature Embeddings

DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters

Pattern Extraction for Behaviours of Multi-Stage Threats via Unsupervised Learning

Quickest Detection of Advanced Persistent Threats: A Semi-Markov Game Approach

Defense Against Advanced Persistent Threats: Optimal Network Security Hardening Using Multi-stage Maze Network Game

On the Use of Cyber Threat Intelligence (CTI) in Support of Developing the Commander's Understanding of the Adversary

A survey of zero-day malware attacks and its detection methodology

A Game Theoretic Approach for Dynamic Information Flow Tracking with Conditional Branching