This document discusses using artificial neural networks for cybersecurity and intrusion detection systems. It introduces artificial intelligence and neural networks, and how they can be used to identify and classify network activity based on limited data to protect against cyber threats. Neural networks are seen as crucial for cybersecurity, as they can help speed up detecting attacks, protect sites from attacks by identifying new threats quickly, and help prevent full-scale breaches. The future of AI in cybersecurity is discussed, with the potential for systems that can hunt for targeted attacks much faster and threat detection systems that can continuously learn and improve over time.

1. A Survey on Artificial
Neural Networks in
Cyber world
Dinesh Ashish
16951A0538 16951A0522

3. What is Artificial Intelligence?
ARTIFICIAL INTELLIGENCE
The capability of a machine to imitate intelligent human behavior.
Algorithms:
Searching:Brute-Force Search Strategies, Single Agent Pathfinding Problems

5. ABSTRACT
Todays IT leaders face many challenges and rapid changes with respect to
Internet Security. They have to protect enterprise, customer, citizen, and
member and employee data, while upsetting attacks from cyber criminals.
One of the mature technology architecture, Intrusion Detection system
(IDS) primarily designed to protect the network from external cyber
threats. The neural network concepts are adapted to identify and classify
network activity based on limited, incomplete and nonlinear data sources
related to the network security

6. Intrusion Detection System (IDS)

7. Neural Networks

9. Why use AI in cybersecurity & cyberworld?
-> AI is now considered crucial to the role of cyber security
-> Protect sites from attacks and identify quickly new threats
-> It can speed up the process of noticing attacks
-> Beneficial in preventing a full-scale breach being unleashed.

10. How is AI Used in Security Today?

11. Why Are AI Important for Cybersecurity?

12. The Future of AI in Cyber security
-> Superpowers for analysts
hunting for targeted spearphishing attacks 100x faster
-> Threat detection systems that learn to learn
-> Real-time conversation monitoring for
social engineering, cyberbullying, fake news, help, etc.

13. The Future of AI & ML in Cybersecurity