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Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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The German physicist Heinrich Hertz (1857–1894) was the first to generate and detect certain types of electromagnetic waves in the laboratory. Starting in 1887, he performed a series of experiments that confirmed the existence of electromagnetic waves and verified that they travel at the speed of light. Hertz used an alternating-current RLC (resistor-inductor-capacitor) circuit that resonated at a known frequency and connected it to a loop of wire. High voltages induced across the gap in...
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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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Related Experiment Video

Updated: Jul 23, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Attribute-Based Encryption Schemes for Next Generation Wireless IoT Networks: A Comprehensive Survey.

Shruti1,2, Shalli Rani2, Dipak Kumar Sah3

  • 1Goswami Ganesh Dutta Sanatan Dharma College, Chandigarh 160030, India.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary

Attribute-based encryption (ABE) is crucial for securing Internet of Things (IoT) data in cloud and fog computing. This survey analyzes ABE schemes for IoT, finding no single scheme excels in all performance metrics.

Keywords:
Internet of Thingsattribute-based encryptioncryptographic methodsfine-grained access controlprivacysecurity

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Area of Science:

  • Cloud and Fog Computing
  • Internet of Things (IoT) Security
  • Data Privacy

Background:

  • Cloud and fog computing are essential for modern data storage and IoT applications.
  • IoT platforms connect diverse devices, increasing the need for robust security and privacy solutions.
  • Attribute-Based Encryption (ABE) offers fine-grained access control and secure data storage for these platforms.

Purpose of the Study:

  • To survey existing Attribute-Based Encryption (ABE) schemes for their suitability in Internet of Things (IoT) environments.
  • To analyze the features, methodologies, benefits, drawbacks, and attacks associated with various ABE schemes.
  • To evaluate the performance of selected ABE schemes through simulation and identify their strengths and weaknesses.

Main Methods:

  • Comprehensive literature review of ABE schemes relevant to cloud and fog computing.
  • Analysis of ABE features, security models, and performance indicators.
  • Simulation-based comparison of selected ABE schemes using key performance metrics.

Main Results:

  • No single ABE scheme demonstrated optimal performance across all evaluated indicators.
  • Certain ABE schemes excel in specific performance aspects, but trade-offs exist.
  • The study provides a comparative analysis to guide the selection of appropriate ABE schemes for specific IoT applications.

Conclusions:

  • ABE is a vital technology for securing IoT data in distributed computing environments.
  • The selection of an ABE scheme for IoT requires careful consideration of performance trade-offs.
  • Further research is needed to develop ABE schemes that offer balanced performance across multiple indicators for diverse IoT applications.