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Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A Secured and Intelligent Communication Scheme for IIoT-enabled Pervasive Edge Computing.

Fazlullah Khan1, Mian Ahmad Jan1, Ateeq Ur Rehman1

  • 1Department of Computer Science, Abdul Wali Khan University Mardan, Pakistan.

IEEE Transactions on Industrial Informatics
|May 17, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a secure communication scheme for the Industrial Internet of Things (IIoT) using Pervasive Edge Computing (PEC). It effectively detects Sybil attacks and optimizes network performance through intelligent resource management.

Keywords:
Artificial Bee Colony algorithmArtificial IntelligenceIndustrial Internet of ThingsPervasive Edge ComputingSecurity

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Area of Science:

  • Cyber-Physical Systems
  • Industrial Internet of Things (IIoT)
  • Pervasive Edge Computing (PEC)

Background:

  • IIoT relies on AI for efficient data exchange in cyber-physical systems.
  • Resource limitations in IIoT devices necessitate Pervasive Edge Computing (PEC) for data processing.
  • Securing communication and optimizing resource utilization in PEC for IIoT are critical research challenges.

Purpose of the Study:

  • To propose a secured and intelligent communication scheme for PEC in an IIoT infrastructure.
  • To address challenges of secured communication, network connectivity, and resource utilization in PEC.
  • To enhance data confidentiality and device authenticity within the IIoT ecosystem.

Main Methods:

  • Developed a scheme for IIoT devices to detect Sybil attacks and report to edge servers.
  • Implemented a parallel Artificial Bee Colony (pABC) algorithm for optimal network configuration upon attack detection.
  • Integrated job migration between edge servers for load balancing and performance optimization based on capabilities.

Main Results:

  • Demonstrated efficient Sybil attack detection and prevention of malicious data transmission.
  • Showcased the effectiveness of the pABC algorithm with rapid convergence curves.
  • Validated improvements in delay, throughput, and reduced control overhead for PEC in IIoT.

Conclusions:

  • The proposed scheme significantly enhances security and efficiency in PEC-enabled IIoT environments.
  • The pABC algorithm provides effective network optimization and load balancing.
  • The research contributes a robust solution for secure and high-performance industrial data communication.