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Plant and Salamander Inspired Network Attack Detection and Data Recovery Model.

Rupam Kumar Sharma1, Biju Issac2, Qin Xin3

  • 1Department of Computer Science and Engineering, Rajiv Gandhi University, Itanagar 791112, India.

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Summary
This summary is machine-generated.

Bio-inspired models offer evolutionary cyber defense. This study explores plant defense mechanisms and salamander regeneration for robust network attack detection and data recovery systems, outperforming traditional methods.

Keywords:
bio-inspired algorithmevolutionary computingintrusion detectionnetwork securityransomware

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Area of Science:

  • Cybersecurity
  • Bio-inspired computing
  • Network defense mechanisms

Background:

  • Increasing internet users and cyberattacks necessitate advanced defense strategies.
  • Traditional machine learning models face limitations in data and computational needs.
  • Bio-inspired models offer adaptive, low-computation solutions for evolving threats.

Purpose of the Study:

  • To explore evolutionary defense mechanisms in plants for cyberattack adaptation.
  • To investigate regenerative models, like salamander limb regeneration, for network recovery.
  • To develop a robust, bio-inspired model for network attack detection and data recovery.

Main Methods:

  • Analyzing plant defense strategies against known and unknown external attacks.
  • Modeling network recovery systems based on biological regeneration principles.
  • Comparing the proposed bio-inspired model's performance against Intrusion Detection Systems (IDS) like Snort and data recovery tools like Burp and Cassandra.

Main Results:

  • Demonstrated the potential of bio-inspired models to adapt and evolve defense mechanisms.
  • Showcased the efficacy of regenerative principles in creating automated network recovery systems.
  • Achieved comparable or superior performance to existing cybersecurity tools in detection and recovery.

Conclusions:

  • Bio-inspired approaches provide a promising avenue for developing resilient and adaptive cybersecurity systems.
  • Plant defense and regeneration offer novel strategies for network attack detection and ransomware recovery.
  • The proposed model shows potential for enhanced network security in low-computational environments.