Podcast
Questions and Answers
What role does AI play in threat detection within cybersecurity?
What role does AI play in threat detection within cybersecurity?
Which benefit of AI/ML in cybersecurity focuses on identifying threats before they occur?
Which benefit of AI/ML in cybersecurity focuses on identifying threats before they occur?
What does vulnerability assessment automation achieve in a cybersecurity context?
What does vulnerability assessment automation achieve in a cybersecurity context?
How does AI/ML contribute to cost savings in cybersecurity?
How does AI/ML contribute to cost savings in cybersecurity?
Signup and view all the answers
What is the frequency of new infections mentioned in the content?
What is the frequency of new infections mentioned in the content?
Signup and view all the answers
In what way does AI/ML improve incident response and recovery?
In what way does AI/ML improve incident response and recovery?
Signup and view all the answers
What programming advantage is noted about Python in the context of cybersecurity?
What programming advantage is noted about Python in the context of cybersecurity?
Signup and view all the answers
The proliferation of sophisticated malware is indicated by how many instances after 15 minutes?
The proliferation of sophisticated malware is indicated by how many instances after 15 minutes?
Signup and view all the answers
What defines artificial intelligence according to Rick Howard?
What defines artificial intelligence according to Rick Howard?
Signup and view all the answers
What is the primary focus of machine learning?
What is the primary focus of machine learning?
Signup and view all the answers
Which of the following is an essential factor affecting the performance of a machine learning system?
Which of the following is an essential factor affecting the performance of a machine learning system?
Signup and view all the answers
What is supervised learning primarily used for?
What is supervised learning primarily used for?
Signup and view all the answers
Which learning algorithm focuses on decision making, such as in robotics or board games?
Which learning algorithm focuses on decision making, such as in robotics or board games?
Signup and view all the answers
What is one of the main characteristics of unsupervised learning?
What is one of the main characteristics of unsupervised learning?
Signup and view all the answers
What assumption must be made according to the no free lunch rule in training and testing?
What assumption must be made according to the no free lunch rule in training and testing?
Signup and view all the answers
Which of the following statements is true regarding the algorithms used in machine learning?
Which of the following statements is true regarding the algorithms used in machine learning?
Signup and view all the answers
Signup and view all the answers
Study Notes
Artificial Intelligence and Cyber Security
- Lecture set 8
- Course code: CRS NO:1502170
- Subject: Introduction to Cyber Security
- Instructors: Dr. Khalid Javeed, Dr. Saddaf Rubab
- Course Code: M5 - 214, M5 - 221
- Email Addresses: [email protected], [email protected]
Artificial Intelligence?
- New technology
- Can perform thoughtful decisions
- Aware of its own existence
Machine Learning?
- Software-development technique
- Teaches computers how to do tasks without explicit instructions
- Aims to enable tasks through data analysis and pattern recognition.
Learning System Model
- Input samples (training data) are fed into a Machine Learning Algorithm
- Algorithm trains a model
- The model is tested using testing data
- A prediction/result is generated
Training and Testing
- Training is creating a model's ability to learn
- The data used for training and testing should be from the same distribution (no free lunch rule)
- Assumptions may need to be made or biases introduced for model training.
Performance
- Impact factors: Training type, background knowledge, feedback type, and the chosen learning algorithms
- Two key considerations: Modeling and Optimization
Algorithms
- Machine learning success depends on the accuracy of the algorithms
- Algorithms control knowledge structure searches and development
- Learning algorithms should extract useful info from the data.
Algorithm Types
- Supervised Learning: Prediction (Classification and Regression)
- Unsupervised Learning: Clustering, Distribution Estimation, Feature Association, Dimension Reduction
- Semi-supervised Learning:
- Reinforcement Learning: Decision making (robots, chess machines)
Machine Learning Structure (Supervised)
- Training data (text, images, documents, sounds) with labels
- Machine learning algorithms generate predictions
- New data is labeled via a predictive model
Machine Learning Structure (Unsupervised)
- Training data (text, images, documents, sounds)
- Machine learning algorithm generates models based on insights from data
- New data is classified based on likelihood or cluster id provided by the model
Programming Language - Why Python?
- Python's extensive range of tools: Tools include preprocessing, analytics, statistics, machine learning, natural language processing, network analysis, visualization and scalability
- Python's robust community support enhances learning and development
- Python is both a scripting and production-ready language.
- Numerous external libraries are available
Sophisticated Malware Spreading
- New infections every 3 seconds
- 1 minute: ~ 2021 instances
- 15 minutes: ~ 9864 instances
- 30 minutes: ~ 45,457 instances
Extensive Password Breaches
- High-profile breaches occurred with common passwords, revealing weak security practices
What is the Role of AI/ML in Cybersecurity?
- Threat Detection: AI/ML analyzes network traffic, identifies patterns, and detects anomalies to identify cyber threats more readily
- Predictive Analysis: AI/ML algorithms analyze historical data to predict and prevent future cyberattacks.
- Vulnerability Assessment: Automating vulnerability scanning.
What is the Role of AI/ML in Cybersecurity? (Cont'd)
- Incident Response and Recovery: AI/ML helps respond to cyberattacks quickly and effectively
Benefits
- Improved Detection and Response: Faster and more accurate responses to cyber threats
- Proactive Protection: Identify & help address potential cyber threats before they occur
- Automation: Automate tasks for efficiency and increased efficiency from human resources
- Cost Savings: Reduced needs for human resources, resulting in lower costs for organizations
- Continuous Monitoring: Real-time insights help predict possible security breaches.
Challenges of Using AI in Cybersecurity
- Limited Understanding: AI/ML models may miss new or evolving threats if their training data is limited
- False Positives: AI/ML models may incorrectly flag as threats, requiring further human review
- Lack of Trust: Organizations may not yet be confident in the accuracy and decision-making of AI/ML systems
Cybersecurity Future
- AI/ML can analyze massive data sets to detect patterns to predict, prepare for, and identify cybersecurity breaches.
- Improvements include Ongoing research, enhanced security practices, and enhanced detection techniques.
AI Cybersecurity Roadmap
- Select high priority areas to apply AI
- Create a strong data platform that works well with AI
- External collaboration
- Train cyber security analysts in AI methods
- Develop and install cyber security governance frameworks that ensure legal and ethical operations
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Related Documents
Description
Explore the intersection of Artificial Intelligence and Cyber Security through this engaging quiz. Understand key concepts such as machine learning, system models, and the training/testing process. Perfect for students of Introduction to Cyber Security!
