invasive software

biblio

Dynamic information-theoretic measures for security informatics

Submitted by aekwall on Thu, 04/08/2021 - 4:42pm

Scalability
Cryptography
malware
invasive software
cyber security
Resiliency
Human behavior
pubcrawl
policy-based governance
Social network services
social networking (online)
Metrics
social network
natural language processing
information theory
Markov processes
static analysis
Informatics
security domain
vehicle dynamics
information theoretic security
activity trace
behavior prediction
dynamic information-theoretic measure
dynamical process analysis
innocent computer network activity
instruction sequence
legitimate software
malicious computer network activity
Predictive Analytics
security application
Security informatics
social network dynamics
stochastic dynamical system

biblio

An I/O Request Packet (IRP) Driven Effective Ransomware Detection Scheme using Artificial Neural Network

Submitted by aekwall on Thu, 04/08/2021 - 4:36pm

malware
Kernel
invasive software
learning (artificial intelligence)
Resiliency
pubcrawl
Ransomware
Cryptography
neural nets
Neural networks
cyber-attacks
Data collection
microsoft windows
Compositionality
ransomware attacks
ransomware detection
artificial neural network
ransomware families
ransomware samples
Information Reuse and Security
discovering novel ransomware families
driven effective ransomware detection scheme
effective artificial neural network structure
global surge
I/O Monitoring
industry-based security researchers
IRP logs
low-level file system
newly found research paradigm
ransomware behavior
ransomware researchers
ransomware samples every day
retail to critical infrastructure

biblio

DeepGuard: Deep Generative User-behavior Analytics for Ransomware Detection

Submitted by grigby1 on Tue, 03/30/2021 - 12:04pm

Attack detection
Cybersecurity
Data mining
Deep Autoencoders
deep generative autoencoder architecture
deep generative user-behavior analytics
DeepGuard
file-interaction pattern logging
Human behavior
Human Factors
Informatics
invasive software
learning (artificial intelligence)
neural nets
Organizations
pubcrawl
Ransomware
ransomware activity
ransomware criminals
ransomware detection
ransomware incidence report
security
system monitoring
three-sigma limit rule
tools
Training
Training data
user activity
User behavior Analytics
user behavior modeling
WannaCry

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

biblio

Think Smart, Play Dumb: Analyzing Deception in Hardware Trojan Detection Using Game Theory

Submitted by aekwall on Mon, 03/29/2021 - 11:51am

Scalability
game theory
invasive software
deception
learning (artificial intelligence)
Resiliency
pubcrawl
Supply Chain
supply chains
Cybersecurity
Human Factors
Predictive Metrics
game theoretic security
integrated circuits
hypergame theory
Repeated game
actual game stage
deception analysis
first-step deception mitigation process
hardware Trojan detection
Hardware Trojans
IC designers
learning stage
malicious IC manufacturer
manufactured ICs
multilevel game-theoretic framework
offshore manufacturing
optimal deception rationality
prospect theory
third-party companies
zero-sum

biblio

Attacking Key Management in Ransomware

Submitted by grigby1 on Wed, 03/17/2021 - 12:43pm

attacking key management
Chained Attacks
Computer crime
concerning trends
dynamically extracting decryption keys
encryption
extracted keys
invasive software
memory attacks
NIST
opportunistic attackers
private sector entities
pubcrawl
Public key
public key cryptography
public sector entities
Ransomware
ransomware kill chain
real-world ransomware
resilience
Resiliency
Scalability
steady growth
targeted attacks

biblio

IoTCMal: Towards A Hybrid IoT Honeypot for Capturing and Analyzing Malware

Submitted by grigby1 on Mon, 03/15/2021 - 1:11pm

authentication
authentication services
authorisation
Bridges
command injection attacks
composability
Computer hacking
homology analysis
honeypot
hybrid IoT honeypot
Internet of Things
invasive software
IoT
IoT device
IoTC-MAL
IoTCMal
low-interactive IoT honeypots
malicious samples
malware
Metrics
network-connected devices
pubcrawl
resilience
Resiliency
Servers
video surveillance
virtual environment
virtualisation
vulnerabilities

biblio

A Conceptual Direction on Automatically Evolving Computer Malware using Genetic and Evolutionary Algorithms

Submitted by grigby1 on Tue, 03/09/2021 - 3:06pm

artificial ecosystem
artificial world
Bio-inspired computing
biologically inspired computing
BIOS
co-evolutionary predator-prey framework
computer malware
computing devices
cyber security
cyber world
Evolutionary algorithms
evolutionary computation
evolutionary computing
genetic algorithms
Human behavior
internet
invasive software
Mal-ware Analysis
malware
malware creation
Metrics
Proactive Defence
pubcrawl
resilience
Resiliency
Scalability
security

biblio

Towards Data-Driven Characterization of Brute-Force Attackers

Submitted by grigby1 on Tue, 03/09/2021 - 2:37pm

attacker dictionary
brute force attacks
brute-force attackers
brute-force login attempts
clustering
computer network security
connection metadata
coordinated attacks
data-driven characterization
defensive measures
dictionary-based brute-force attack
Human behavior
Human Factors
internet
invasive software
IP networks
low-threat attacks
malicious login attempts
meta data
Organizations
password
policy-based governance
Protocols
pubcrawl
public Internet
targeted attack campaigns
threat hunters
timing
timing information
unrelated IP addresses

biblio

A Two-stage P2P Botnet Detection Method Based on Statistical Features

Submitted by grigby1 on Tue, 03/09/2021 - 2:25pm

benign P2P hosts
botnet
botnets
composability
computer network security
detection
feature extraction
invasive software
machine learning
Metrics
Monitoring
network security
p2p
Payloads
Peer-to-peer computing
pubcrawl
real-time systems
resilience
Resiliency
software engineering
statistical analysis
statistical feature
telecommunication traffic
traffic statistical features
two-stage P2P botnet detection method
unsolicited e-mail

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Cyber-Physical Systems Virtual Organization

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

invasive software

Dynamic information-theoretic measures for security informatics

An I/O Request Packet (IRP) Driven Effective Ransomware Detection Scheme using Artificial Neural Network

DeepGuard: Deep Generative User-behavior Analytics for Ransomware Detection

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

Think Smart, Play Dumb: Analyzing Deception in Hardware Trojan Detection Using Game Theory

Attacking Key Management in Ransomware

IoTCMal: Towards A Hybrid IoT Honeypot for Capturing and Analyzing Malware

A Conceptual Direction on Automatically Evolving Computer Malware using Genetic and Evolutionary Algorithms

Towards Data-Driven Characterization of Brute-Force Attackers

A Two-stage P2P Botnet Detection Method Based on Statistical Features