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Related Concept Videos

Design Example01:23

Design Example

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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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Downsampling01:20

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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A novel method for utilizing RF information from IEEE 802.11 frames in Software Defined Networks.

Paul Zanna1, Dinesh Kumar1, P J Radcliffe1

  • 1RMIT University, Australia.

Methodsx
|November 10, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a cost-effective framework for wireless security research by integrating Radio Frequency (RF) signal data with IEEE 802.11 frames using Software Defined Networking (SDN). This innovation lowers barriers to advanced wireless security and control research.

Keywords:
FPGAIEEE 802.11P4Software Defined NetworkingSoftware defined Radio

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Cybersecurity

Background:

  • Wireless security research is often hindered by high costs and complex processing requirements.
  • Existing methods necessitate expensive hardware and significant offline data analysis.
  • Accessibility to advanced wireless security research is limited.

Purpose of the Study:

  • To develop a more accessible and cost-effective framework for wireless security and control research.
  • To integrate Radio Frequency (RF) signal features with existing wireless frame data.
  • To leverage the Software Defined Networking (SDN) paradigm for enhanced wireless research capabilities.

Main Methods:

  • Integration of RF signal features (Carrier Frequency Offset, Pilot Sub-Carrier Offset, Vector Magnitude) during demodulation.
  • Utilizing a novel SDN processing method to append RF data to wireless frame buffers.
  • Developing a custom P4 application to combine RF and higher OSI layer features for advanced operations.

Main Results:

  • A novel framework enabling advanced wireless security and control research at a significantly lower cost.
  • Successful integration of low-cost RF hardware with SDN for real-time data processing.
  • Demonstration of a P4 application combining RF and network layer features.

Conclusions:

  • The proposed framework significantly reduces the cost and complexity of wireless security research.
  • SDN paradigm effectively integrates RF signal features with wireless frames for enhanced analysis.
  • This approach democratizes access to advanced wireless security and control research.