CSIT375 AI for Cybersecurity Overview

Questions and Answers

What best describes AI?

Programming that uses only predefined scripts and rules.

A software that can only process numerical data.

Technology that can learn and exhibit intelligent behavior. (correct)

A type of hardware used for computing tasks.

What is a neural network inspired by?

Mathematical equations only.

Human memory architecture.

Algorithms used in traditional programming.

The functioning of the human brain. (correct)

What happens when more layers are added to a neural network?

It starts to lose information.

The learning ability is diminished.

The network becomes less efficient.

It becomes a deep neural network. (correct)

Which of the following is an example of AI output?

A command like 'set an alarm for 7:00 a.m.' Signup and view all the answers

What is a characteristic feature of deep learning models?

They consist of multiple layers that enhance data processing. Signup and view all the answers

What is a primary function of artificial intelligence as defined in the content?

Performing tasks typically solved by humans Signup and view all the answers

In addition to cybersecurity, which of the following is an application of AI mentioned in the content?

Stock price prediction Signup and view all the answers

How is AI described in relation to its learning capabilities?

AI can learn and produce intelligent behavior Signup and view all the answers

Which phrase best describes the concept of 'input' and 'output' in the context of AI mentioned in the content?

AI processes specific inputs to yield defined outputs Signup and view all the answers

What limitation of AI in security can be inferred from the content?

AI systems may not adapt to new security threats Signup and view all the answers

Which of the following tasks is NOT typically associated with AI according to the content?

Emotional intelligence assessment Signup and view all the answers

What characteristic of AI enables it to approach near-human-level intelligence?

Algorithmic solutions to complex problems Signup and view all the answers

Which area was NOT mentioned as an example of how AI helps in cybersecurity?

Financial fraud detection Signup and view all the answers

What is one benefit of framing log analysis as a graph search problem?

It allows for complex queries to reduce manual research time. Signup and view all the answers

In malware classification, what does a sparse N-dimensional vector represent?

Features derived from both static and dynamic analysis. Signup and view all the answers

Why is it important to learn projection matrices in malware classification?

They allow for meaningful comparisons in a low-dimensional space. Signup and view all the answers

Which statement best describes the use of graph components in log analysis?

Log lines induce graph components which reflect relationships among logs. Signup and view all the answers

What does the term 'embedding space' refer to in the context of malware analysis?

A low-dimensional space where relationships among samples are preserved. Signup and view all the answers

What is the primary function of ransomware?

To extort money by blocking access to files until a ransom is paid Signup and view all the answers

How does AI contribute to detecting malware?

By analyzing data to find patterns and predict threats Signup and view all the answers

What is one of the main challenges AI helps address in cybersecurity?

Tracking and correlating massive amounts of security data Signup and view all the answers

In what way does AI enhance online browsing safety?

By predicting and avoiding 'bad neighborhoods' online Signup and view all the answers

What role does AI play in protecting data in the cloud?

It analyzes suspicious cloud app login activity for anomalies Signup and view all the answers

Which of the following best describes social engineering?

Tricking individuals into revealing sensitive information Signup and view all the answers

How does AI detect insider threats?

By continuously monitoring network behavior for unusual activity Signup and view all the answers

What is one way AI aids in the identification of unknown malware?

By identifying new malicious files based on known malware attributes Signup and view all the answers

What is the primary goal of cybersecurity?

To protect networks and data from unauthorized access Signup and view all the answers

Which component is NOT part of the C-I-A triad?

Reliability Signup and view all the answers

Which technology is essential for effective cybersecurity?

Antivirus software Signup and view all the answers

What is a key characteristic of deep learning?

It processes large amounts of data through deep neural networks. Signup and view all the answers

In which scenario would phishing be used?

To gain unauthorized access to sensitive data Signup and view all the answers

What is the role of machine learning in AI?

To help build AI-driven applications Signup and view all the answers

What does the term 'non-repudiation' in cybersecurity refer to?

Preventing denial of having sent a message Signup and view all the answers

Which of the following best describes botnets?

A collection of devices controlled by a single entity for malicious purposes Signup and view all the answers

Study Notes

Introduction to CSIT375 AI for Cybersecurity

Course conducted by Dr. Manoj Kumar and Dr. Chen Chen at SOCS, University of Wollongong in Dubai.
Presentation materials derived from multiple sources.

What is AI?

Artificial Intelligence (AI) refers to machine-driven decision-making that mimics human reasoning.
AI has progressed rapidly, impacting numerous sectors like finance, workplace compliance, and security.
Key applications include stock price prediction, anomaly detection, risk assessment, and self-driving technology.

AI Characteristics

AI systems process input and generate outputs based on learned behavior.
Examples include:
- Computer Vision: Translates visual input (pixels) into actions or descriptions.
- Speech Recognition: Interprets audio clips and generates responses.
- Machine Translation: Converts text from one language to another.
Neural networks, a subfield of AI, emulate human brain processes, aiding in data interpretation and learning.

Definitions in AI

Artificial Intelligence (AI): Creation of intelligent machines.
Machine Learning (ML): A branch of AI utilizing data to enhance applications.
Deep Learning (DL): A subset of ML that employs deep neural networks for model training with large datasets.

What is Cybersecurity?

Cybersecurity encompasses technologies and practices to safeguard networks, systems, and data from unauthorized access and attacks.
Major goals include:
- Confidentiality: Preventing unauthorized information disclosure.
- Integrity: Avoiding unauthorized information modification.
- Availability: Ensuring information and systems are accessibly secure.

Cybersecurity Components

Effective cybersecurity requires integration of people, processes, and technology.
Users must adhere to data security principles, while processes establish response frameworks for cyber incidents.
Technological tools include firewalls, antivirus software, and malware protections.

Common Cybersecurity Threats

Phishing: Deceptive emails that act as trusted sources to harvest personal data.
Ransomware: Locks files until a ransom is paid.
Malware: Malicious software that damages or gains unchecked access to systems.
Social Engineering: Manipulating individuals into revealing confidential information.

Role of AI in Cybersecurity

AI and ML are increasingly employed in cybersecurity for automated threat detection and prevention.
AI can analyze data patterns, predict attacks, and implement proactive measures.
Continuously learns by processing large datasets to identify emerging threats and behaviors.

Applications of AI in Cybersecurity

Threat Detection: Monitors network activity for anomalies, flagging insider threats and malicious behavior.
Endpoint Protection: Identifies previously unknown malware through behavioral analysis.
Cloud Security: Analyzes risky login activities and assesses potential threats in cloud environments.

Monitoring and Data Analysis

AI systems offer automated, continuous monitoring, improving data analysis efficiency.
Log data can be represented as a graph to enhance analysis and speed up threat detection queries.

Example Applications

Malware Classification: AI models classify executables as malware based on past indicators, aiding in incident response and prioritization.
Projection into a low-dimensional embedding space makes complex data analysis more tractable and meaningful for cybersecurity tasks.
Use cases include comparing malware samples and identifying threats based on proximity in embedding space.

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Description

This quiz provides an introduction to the concepts of artificial intelligence and its relevance to cybersecurity. It covers foundational terms and explores how AI can enhance security measures in digital environments. Suitable for students enrolled in CSIT375 at the University of Wollongong in Dubai.