Deep Learning Neural Networks in Cybersecurity - Managing Malware with AI
Description
There’s a lot of talk about the benefits of deep learning (neural networks) and how it’s the new electricity that will power us into the future. Medical diagnosis, computer vision and speech recognition are all examples of use-cases where neural networks are being applied in our everyday business environment. This begs the question…what are the uses of neural-network applications for cyber security? How does the AI process work when applying neural networks to detect malicious software bombarding out technical infrastructure? We’ll discuss malware management methods used in the past, how we essentially hit a major crossroad, and how AI is being leveraged to stay ahead of malicious cyber threat actors.
Location
Stewart 279
Start Date
9-27-2017 2:15 PM
DOI
10.5703/1288284316623
Recommended Citation
Rayle, Keith, "Deep Learning Neural Networks in Cybersecurity - Managing Malware with AI" (2017). Dawn or Doom Conference. 6.
https://docs.lib.purdue.edu/dawnordoom/2017/presentations/6
Deep Learning Neural Networks in Cybersecurity - Managing Malware with AI
Stewart 279
There’s a lot of talk about the benefits of deep learning (neural networks) and how it’s the new electricity that will power us into the future. Medical diagnosis, computer vision and speech recognition are all examples of use-cases where neural networks are being applied in our everyday business environment. This begs the question…what are the uses of neural-network applications for cyber security? How does the AI process work when applying neural networks to detect malicious software bombarding out technical infrastructure? We’ll discuss malware management methods used in the past, how we essentially hit a major crossroad, and how AI is being leveraged to stay ahead of malicious cyber threat actors.
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