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Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
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Upsampling01:22

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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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Updated: Oct 13, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Deceptive Techniques to Hide a Compressed Video Stream for Information Security.

Jeonghwan Heo1, Jechang Jeong1

  • 1Department of Electronic Engineering, Hanyang University, Seoul 04763, Korea.

Sensors (Basel, Switzerland)
|November 13, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel deception method for secure video transmission, making encrypted streams appear unencrypted to evade sniffing attacks. The technique offers faster processing and maintains stream integrity for devices like drones and IoT cameras.

Keywords:
H.263H.264/AVCIVCcodecdeceptive techniqueshigh efficiency video codinginformation securityvideo encryption

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Digital Communications

Background:

  • Increasing use of video transmission across devices like drones, IP cameras, and IoT devices necessitates robust security measures.
  • Existing encryption methods (e.g., MPEG-DASH) ensure stream confidentiality but fail to conceal the transmission itself, leaving it vulnerable to sniffing attacks.
  • Entropy-based sniffing attacks can analyze network traffic patterns to detect encrypted streams.

Purpose of the Study:

  • To propose a new deception method for video streams that masks encrypted transmissions as unencrypted data.
  • To enhance security by preventing detection through entropy-based sniffing attacks.
  • To offer a low-cost encryption solution with improved processing performance.

Main Methods:

  • Utilized standard Network Abstraction Layer (NAL) unit rules of video codecs.
  • Implemented a deception strategy where one device transmits a cover video (appearing unencrypted) while another transmits the secret video.
  • Tested stream compatibility with five standard video decoders.

Main Results:

  • The proposed method successfully decodes using standard decoders.
  • Achieved 61% faster processing performance compared to conventional encryption methods.
  • A network scan method (HEDGE) classified the deceptive stream as similar to a compressed video, indicating successful camouflage.

Conclusions:

  • The deception method effectively hides the transmission of encrypted video streams, evading entropy-based sniffing attacks.
  • Offers a practical and efficient solution for securing video streams in diverse network environments.
  • Provides a viable alternative to traditional encryption for enhanced deceptive security.