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AI Defense for Adversarial Example in Industrial IoT Networks
  • Alexander Sepenu ,
  • Walter Lai ,
  • Anthony Yeung
Alexander Sepenu
Southern Methodist University

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Walter Lai
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Anthony Yeung
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Abstract

In the face of recent cyber-attacks on critical national infrastructure and corporate networks, there is a significant growing concern about the security of defense and industrial robots on the Internet of Things (IoT). One cutting-edge technology to counter these threats of cybersecurity in the IoT ecosystem is the use of Artificial Intelligence (AI) to build complex AI algorithms to protect network systems and their devices. However, AI algorithms are vulnerable to adversarial examples. A method to produce adversarial examples to foolproof AI cybersecurity algorithms is presented.