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Security Issues and Privacy Concerns in Industry 4.0 Applications

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Manage episode 500083765 series 3683458
Content provided by CyberSecurity Summary. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CyberSecurity Summary or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Addresses various security issues and privacy concerns within the context of Industry 4.0 applications. Topics explored include the use of Internet of Things (IoT) in smart water management systems, emphasizing their architecture and a literature review on related research. Additionally, the texts discuss network forensics and cloud security challenges, particularly concerning Machine-to-Machine (M2M) communication and a proposed approximation algorithm-based security model for IoT-based healthcare management systems. The collection also covers the detection of fake social media profiles using artificial intelligence, packet drop detection in agricultural IoT platforms, the supportive role of blockchain and big data in daily life, and machine learning for effective prediction, including dog breed classification using Convolutional Neural Networks (CNN) and load balancing in Multi-Agent Systems.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
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1002 episodes

Artwork
iconShare
 
Manage episode 500083765 series 3683458
Content provided by CyberSecurity Summary. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CyberSecurity Summary or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Addresses various security issues and privacy concerns within the context of Industry 4.0 applications. Topics explored include the use of Internet of Things (IoT) in smart water management systems, emphasizing their architecture and a literature review on related research. Additionally, the texts discuss network forensics and cloud security challenges, particularly concerning Machine-to-Machine (M2M) communication and a proposed approximation algorithm-based security model for IoT-based healthcare management systems. The collection also covers the detection of fake social media profiles using artificial intelligence, packet drop detection in agricultural IoT platforms, the supportive role of blockchain and big data in daily life, and machine learning for effective prediction, including dog breed classification using Convolutional Neural Networks (CNN) and load balancing in Multi-Agent Systems.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
  continue reading

1002 episodes

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