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Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
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A smart privacy preserving framework for industrial IoT using hybrid meta-heuristic algorithm.

Mohit Kumar1, Priya Mukherjee2, Sahil Verma3

  • 1Department of Information Technology, School of Computing, MIT Art, Design and Technology University, Pune, 412201, India.

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|April 3, 2023
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Summary
This summary is machine-generated.

This study introduces a privacy preservation model for the Industrial Internet of Things (IIoT) using artificial intelligence. The novel Grasshopper-Black Hole Optimization (G-BHO) algorithm enhances data sanitization and security in Industry 4.0 applications.

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Artificial Intelligence

Background:

  • Industrial Internet of Things (IIoT) faces significant data privacy and security challenges in Industry 4.0.
  • Traditional authentication methods in IIoT are inadequate for growing user bases and diverse categories.
  • Protecting sensitive industrial data is crucial for operational integrity and compliance.

Purpose of the Study:

  • To implement an advanced privacy preservation model for IIoT data.
  • To address limitations of traditional authentication in IIoT environments.
  • To enhance data security and prevent information leakage in industrial applications.

Main Methods:

  • A two-stage system involving data sanitization and restoration for IIoT data.
  • Data sanitization employs optimal key generation using a novel Grasshopper-Black Hole Optimization (G-BHO) algorithm.
  • A multi-objective function optimizes key generation based on modification degree, hiding rate, correlation, and information preservation.

Main Results:

  • The proposed G-BHO algorithm demonstrates superior performance in privacy preservation compared to existing methods.
  • Achieved 1% enhancement over JA and BHO, and 15.2% and 12.6% over GWO and GOA, respectively.
  • Simulation results confirm the model's dominance across various performance metrics.

Conclusions:

  • The developed privacy preservation model effectively secures IIoT data through advanced AI techniques.
  • The G-BHO algorithm offers an optimal solution for key generation in data sanitization.
  • This research contributes to more secure and adaptable Industry 4.0 implementations.