With the continuous growth of the digital environment, the risks in the online realm also increase. This calls for strong security measures to safeguard valuable information and essential systems. Artificial Intelligence (AI) has become a powerful weapon in the fight against cyber threats. This talk presents a thorough examination of the most recent algorithms and applications of artificial intelligence in the field of cybersecurity.

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From “Wireless Communications”
Edfors, Molisch, Tufvesson
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Advancements in Artificial
Intelligence for Cybersecurity

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From “Wireless Communications”
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Hackers
using
AI
tools

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WormGPT
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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 A new generative AI
cybercrime tool
 Underground forums as a
perfect tool for adversaries
to launch sophisticated
phishing campaigns and
business email compromise
(BEC) attacks.
 BEC cost 1.8 billion in 2020
For
Learning
only

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TorGpt
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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For Learning
only

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????????

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Artificial Intelligence
From “Wireless Communications”
Edfors, Molisch, Tufvesson
According to the father of Artificial
Intelligence John McCarthy, it is
“The science and engineering of
making intelligent machines,
especially intelligent computer
programs”.

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Agenda
d
Artificial Intelligence
Cybersecurity
AI & Cybersecurity
Tools
Ethical Considerations

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Agenda
d
Artificial Intelligence
Cybersecurity
AI & Cybersecurity
Tools
Ethical Considerations

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Artificial Intelligence
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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AI & ML & DL & FM
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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 AI is the broader concept of creating
intelligent machines.
 ML is a subset of AI focusing on learning
from data.
 DL is a subset of ML employing deep neural
networks for learning and modeling complex
patterns.
 FM Generative AI, any model that is trained
on broad data (generally using self-
supervision at scale)
AI
ML
DL
FM

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AI & ML & DL & FM
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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AI Initialization
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Define the problem and collect data
Data preprocessing
Feature engineering
Model selection
Training the model
Evaluating the model & Hyper parameter tuning
Deploying the model

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Measure the Performance
d
Confusion Matrix
Popular evaluation metric used to
describe the performance of a
classification model (or
"classifier").
 FP: lead to unnecessary alerts and operational., consuming valuable
resources and causing alert fatigue
 FN: can result in undetected security breaches.

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AI & ML & DL
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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Handle
False Positives
False Negative
Advanced
Analytics
Continuous
Learning
User
Input
Threshold
Tuning
Whitelisting
Contextual
Information

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Agenda
d
Artificial Intelligence
Cybersecurity
AI & Cybersecurity
Tools
Ethical Considerations

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Cybersecurity
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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 Cybersecurity is the
practice of protecting
smart divices like
Mobile, computer
systems, networks, and
data from unauthorized
access, attacks, damage,
or theft.

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Core Principles of Cybersecurity
 Confidentiality: Ensuring that sensitive
information is only accessible to
authorized individuals or systems.
 Integrity: Protecting data and
information from being altered without
authorization.
 Availability: Ensuring that systems and
data are available and accessible when
needed.
CIA

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Agenda
d
Artificial Intelligence
Cybersecurity
AI & Cybersecurity
Tools
Ethical Considerations

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AI & Cybersecurity
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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 AI providing new
ways to detect
and prevent cyber
threats in real
time, and digital
forensics.

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AI & Cybersecurity
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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Some key features of AI technology in cybersecurity include:
Real-time monitoring: AI continuously monitor
network sand systems for suspicious activity,
identifying and reacting to potential threats in real
time.
Behavior analytics: AI analyze user behavior
and detect anomalies that may indicate a security
breach or attempted attack.
Anomaly detection: AI can identify patterns that
may indicate a cyberattack, even in cases where
the attack may not fit a predefined threat profile.

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AI & Cybersecurity
d
Real-time
monitoring
Behavior
analytics
Anomaly
detection

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AI & Cybersecurity
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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Confidentiality
Data
Encryption
Anomaly
Detection
Access
Control
Privacy-
Preserving
Technologies
Sensitive
Data
Redaction
Behavioral
Biometrics

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Alogorithmes of AI in Cybersecurity
d
Fully Homomorphic
Encryption (FHE)
Long Short-Term Memory
(LSTM) Networks
Variational
Autoencoders (VAEs)
Natural Language Processing
(NLP) Models Graph Neural Networks
(GNNs)

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AI & Cybersecurity
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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Integrity
Data
Integrity
Verification
Anomaly
Detection
Blockchain
Technology
Content
Verification
Data
Quality
Assurance
Tamper-
Resistant
Logging

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Alogorithmes of AI in Cybersecurity
d
Merkle Trees
Secure Multi-Party Computation
(SMPC)
Differential Privacy
Zero-Knowledge Proofs
(ZKPs)
Integrity

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AI & Cybersecurity
From “Wireless Communications”
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Availability
Predictive
Maintenance
Anomaly
Detection
Automated
Incident
Response
Dynamic
Resource
Allocation
Proactive
Capacity
Planning
Continuous
Monitoring
and
Optimization

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Alogorithmes of AI in Cybersecurity
d
Recurrent Neural Networks
(RNNs)
Availability
Long Short-Term Memory (LSTM)
networks
Isolation Forests
Q-Learning
Streaming
Analytics
Generative Adversarial Networks (GANs)

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Alogorithmes of AI in Cybersecurity
d
detect Deepfake
Facial Landmark
Detection
XceptionNet
FaceForensics++
Voice Biometrics
Fusion of Multiple
Modalities

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AI & Cybersecurity Python Libraries
From “Wireless Communications”
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AI & Cybersecurity Python Libraries
From “Wireless Communications”
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Agenda
d
Artificial Intelligence
Cybersecurity
AI & Cybersecurity
Tools
Ethical Considerations

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AI & Cybersecurity Tools
d
Top Tools
Intrusion Detection
Network Traffic Analysis
Malware Analysis
Data
Preprocessing
WEKA
Waikato Environment for Knowledge Analysis:
open-source software package with a wide range of
tools and algorithms for data preprocessing,
machine learning, and data mining tasks
Log Analysis
Threat Intelligence
Analysis

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AI & Cybersecurity Tools
From “Wireless Communications”
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Top Tools
AI platform designed for advanced cybersecurity
and penetration testing applications
Threat Detection
and Prevention
Vulnerability Assessment
Custom AI Solutions
Incident Response

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AI & Cybersecurity Tools
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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Top Tools

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AI & Cybersecurity Tools using by HACKERS
From “Wireless Communications”
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Agenda
d
Artificial Intelligence
Cybersecurity
AI & Cybersecurity
Tools
Ethical Considerations

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AI & Cybersecurity
From “Wireless Communications”
Edfors, Molisch, Tufvesson
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Ethical Considerations in AI-Cybersecurity Integration
Bias: The data used to train AI models is
representative, diverse, and unbiased.
Transparency: Ensuring that AI
systems are explainable and
understandable can help prevent
suspicion and mistrust.
Accountability: It is important to
clearly define who is responsible for
errors or misuse of AI technology.

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AI & Cybersecurity
d
The Role of Government Agencies
 In the United States, the Department of
Home land Security (DHS) Science
and Technology Directorate has
launched several initiatives aimed at
improving cybersecurity through AI.
 These initiatives include cybersecurity
research and development, technology
testing and evaluation, and technology
transition and commercialization.

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AI & Cybersecurity
d
The Role of Government Agencies
 National Institute of Standards
and Technology (NIST)
developed a frame work for
improving critical infrastructure
cybersecurity.
 National Security Agency (NSA)
has created a Cybersecurity
Directorate to enhance the
agency’s cyber defense
capabilities.
 Academic institutions are
conducting cutting-edge
research in the field of AI
and cybersecurity.

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From “Wireless Communications”
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AI technology is playing a
critical role in safeguarding
sensitive information from data
breaches, theft, and manipulation.

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From “Wireless Communications”
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