Deep Learning Working methods, Utilizing the techniques to cyber security, Machine Learning Vs Deep Learning, Retrieving passwords

1. Scope of Deep
Learning in
Cyber Security
Dr.S.Padma, Faculty
MITS, A.P.

2. Presentation Flow
– Cyber Security Evolution
– AI Driven Cyber Security
– Why to concentrate on cyber security?
– Machine Learning in Cyber
– Deep Learning for Cyber
– Risks in execution
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3. Cyber Security Evolution
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4. Cyber Security Elements
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5. The benefits of deep learning in
cyber security
– Predictions of unknown threats.
– Zero time prediction and detection.
– Zero time classification.
– Works across any device, operating system or file.
– Doesn’t rely on connection (edge deployment).
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6. Growing prevalence of deep
learning in real-world solutions
– Computer vision: 98% deep learning, 2% traditional machine learning.
– Speech recognition: 80% deep learning, 20% traditional machine learning.
– Text understand: 65% deep learning, 35% traditional machine learning.
– Cyber security: 2% deep learning, 98% traditional machine learning.
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14. Machine Learning
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16. Password Guessing
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17. Machine Learning in Cyber
Security
– Finding Malicious Website
– Network Intrusion Detection
– Spam Filtering
– Trusting Application
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18. Deep Learning for Cyber
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19. Deep Learning
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20. Deep Learning in Cyber Security
– Big Data and Fraud Detection
– Cloud Security
– Biometric Security
– Network Threats
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22. Thank You
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