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Aprendizado de máquinas aplicado à segurança cibernética de plantas industriais
1.
© 2007-2019 –
TI Safe All rights reserved www.tisafe.com Machine Learning applied to ICS Cybersecurity Disruptive technologies in the fight against cyber attacks Hannover, April 2019 Marcelo Branquinho, CEO & Founder
2.
© 2007-2019 –
TI Safe All rights reserved www.tisafe.com Marcelo Branquinho CEO & Founder marcelo@tisafe.com
3.
© 2007-2019 –
TI Safe All rights reserved www.tisafe.com Agenda • What is Machine Learning? • The use of Machine Learning in ICS Cybersecurity • Using Machine Learning to Protect a Natural Gas Plant
4.
© 2007-2019 –
TI Safe All rights reserved www.tisafe.com Why security solutions fail? • One popular solution used in ICS Cybersecurity is to install a firewall between business and control networks. • Known as “Bastion Model” since it is based on a single point of security. • Example: Chinese Wall
5.
© 2007-2019 –
TI Safe All rights reserved www.tisafe.com Pathways inside the control network • Protecting only the perimeter of the OT network is not enough. • A Worm infiltrated in: o A nuclear plant through a mobile 3G connection o A SCADA power system through a VPN o An Oil & Gas control system through the laptop of an outsourcer • There were firewalls protecting the OT network perimeter in all these cases. • It’s necessary to protect the factory floor with modern and in-depth defense technologies.
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© 2007-2019 –
TI Safe All rights reserved www.tisafe.com What is Machine Learning? • Machine learning is a method of data analysis that automates the construction of analytical models. • It is an artificial intelligence strand that is based on the idea that systems can learn from data, identify patterns and make decisions with the least human intervention. • It was born of pattern recognition and the theory that machines can learn without being programmed to perform specific tasks. • The iterative aspect of machine learning is important because, as models are exposed to new data, they can adapt independently. They learn from previous calculations to produce reliable, repeatable decisions and results.
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TI Safe All rights reserved www.tisafe.com Where is Machine Learning used? • Here are some well-known examples of machine learning applications: • Autonomous Google cars: the essence of machine learning; • Suggested offers such as Amazon and Netflix: daily machine learning applications; • Know what your customers are talking about you on Twitter: Machine learning associated with creating language rules; • Detection of undue behavior of equipment in automation systems (ICS): machine learning applied to industrial cyber security;
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TI Safe All rights reserved www.tisafe.com The use of Machine Learning in ICS Cybersecurity • Machine Learning technology is implemented in the Nozomi SCADA Guardian solution, specific for ICS Cybersecurity • Detects cyber threats and process anomalies, providing unprecedented operational visibility. • Automatically discovers the industrial network assets, including its components, connections and topology. • Develops security and process profiles, as well as monitoring the system in real time for any change.
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TI Safe All rights reserved www.tisafe.com Using Machine Learning to Protect a Natural Gas Plant Technical demonstration that shows how Machine Learning technology can be applied in ICS Cybersecurity.
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TI Safe All rights reserved www.tisafe.com How will your company respond to an attack like this? Are there cyber security specialists in the automation team? Is your company's automation network really protected?
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TI Safe All rights reserved www.tisafe.com Thank You! marcelo@tisafe.com Want to know more, see Machine Learning live in our stand at Digital Factory.
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