Challenges and Remedies of IR4 Network Security

A special issue of Network (ISSN 2673-8732).

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 346

Special Issue Editors


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Guest Editor
Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, USA
Interests: distributed sensor networks; distributed systems; cyber security; artificial intelligence; computational biology

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Guest Editor
Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, USA
Interests: cloud-based storage systems; cyber security; artificial intelligence; quantum networks; quantum key distribution; quantum communication; network forensics

Special Issue Information

Dear Colleagues,

Security is never-ending, and the rule regarding its implementation is considered to be “trust no one”. Specifically, it is of utmost importance that the internet be secured using advanced networking system (ANS) protection procedures that help to revolutionize technology and computing systems. The age of artificial intelligence is a pathway paved with the aim of isolating legacy threat detection with the new “prediction” technique. Henceforth, let us ponder the innovation of next-generation strong network systems that can discover threats in advance, with the aim of protecting the world’s security. AINETSEC aims to conceive a Special Issue highlighting the methods by which networking systems can be used as a digital threat countermeasure. Topics include, but are not limited to, the following: 

  1. AI-powered network spike detection: learning models that can sense network threats in advance;
  2. Reinforced network security: machine-learned self-constructing network systems;
  3. Next-generation sense systems: learn, predict and act out characteristics and behavior of network threats;
  4. Case studies on network traffic-based threat effectiveness and countermeasures using AI/ML techniques;
  5. Network tampering and tamper resistance;
  6. Creating AI-based network systems to pathway the quantum network;
  7. Reverse engineering and countermeasures for network threats;
  8. Creating secured network integrations with higher level software, firmware and microarchitectures.

Prof. Dr. Sundararaja Sitharama Iyengar
Dr. K. J. Latesh Kumar
Guest Editors

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Keywords

  • quantum networks
  • network spike
  • network forensics
  • network tampering
  • network traffic
  • self-sustaining networks
  • AI-powered networks
  • resistant networks
  • next-generation network systems

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