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Semantic-Aware Security Orchestration in SDN/NFV-Enabled IoT Systems.

Alejandro Molina Zarca1, Miloud Bagaa2, Jorge Bernal Bernabe1

  • 1Department of Information and Communications Engineering, University of Murcia, 30100 Murcia, Spain.

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|July 2, 2020
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Summary
This summary is machine-generated.

This study introduces a semantic-aware framework for autonomic security orchestration in IoT systems using Software-Defined Networking (SDN) and Network Function Virtualization (NFV). It ensures conflict-free policy enforcement and optimizes resource allocation for enhanced security and performance.

Keywords:
IoTNFVQoSSDNoptimizationsecuritysemantic technologies

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Area of Science:

  • Computer Science
  • Network Security
  • Internet of Things

Background:

  • Internet of Things (IoT) systems benefit from Network Function Virtualization (NFV) and Software-Defined Networking (SDN) for flexibility and resilience.
  • Existing security frameworks face challenges with policy inconsistencies in dynamic SDN/NFV-aware IoT environments.
  • Automated security orchestration is crucial for self-protection and self-healing in complex IoT systems.

Purpose of the Study:

  • To present a semantic-aware, zero-touch, and policy-driven security orchestration framework for SDN/NFV-aware IoT.
  • To enable autonomic and conflict-less security orchestration by dynamically detecting semantic inconsistencies.
  • To optimize the allocation and Service Function Chaining (SFC) of Virtual network Security Functions (VSF) for enhanced Quality of Service (QoS) and resource utilization.

Main Methods:

  • Developed a framework leveraging Semantic technologies for dynamic conflict detection in security policies and IoT system models.
  • Implemented an optimized SFC algorithm for efficient VSF allocation, considering QoS, security, and resource usage.
  • Utilized a policy-driven approach for zero-touch orchestration of security policies and Virtual Network Functions (VNFs)/VSFs.

Main Results:

  • The framework successfully detects semantic conflicts in security policies during orchestration.
  • The optimized SFC algorithm demonstrates effective VSF allocation, maximizing QoS and resource utilization.
  • Validated the feasibility and performance of the proposed security orchestration framework through implementation.

Conclusions:

  • The semantic-aware framework provides autonomic and conflict-less security orchestration for SDN/NFV-aware IoT systems.
  • Dynamic conflict detection and optimized VSF allocation significantly enhance IoT system security and performance.
  • The approach offers a robust solution for managing security in complex and evolving IoT environments.