Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Downsampling01:20

Downsampling

182
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.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
182
Censoring Survival Data01:09

Censoring Survival Data

125
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...
125
Chunking01:12

Chunking

142
Chunking is a powerful cognitive technique that improves short-term memory retention by organizing information into smaller, more manageable units. The brain, limited by working memory capacity, can more easily process and store information when it is divided into "chunks" rather than presented as discrete, unrelated elements. Chunking is especially useful when dealing with large amounts of information, such as numerical sequences, words, or complex ideas.
The principle behind chunking...
142
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

672
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
672
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

140
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
140
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

2.5K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
2.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hybrid control strategy for the Lévy superdiffusion Sel'kov-Schnakenberg model: Formation, conversion, and annihilation of Turing patterns.

Chaos (Woodbury, N.Y.)·2025
Same author

How to regulate pattern formations for malware propagation in cyber-physical systems.

Chaos (Woodbury, N.Y.)·2024
Same author

Note on DNA Analysis and Redesigning Using Markov Chain.

Genes·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 16, 2025

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K

Cryptographic Algorithms with Data Shorter than the Encryption Key, Based on LZW and Huffman Coding.

Tomasz Krokosz1, Jarogniew Rykowski1, Małgorzata Zajęcka2

  • 1Department of Information Technology, Poznań University of Economics and Business, 61-875 Poznan, Poland.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
Summary
This summary is machine-generated.

This study proposes using data compression algorithms like LZW and Huffman coding as encryption keys for short messages in resource-constrained wireless sensor networks, enhancing transmission security for microcontrollers (MCUs).

Keywords:
Huffman codingLZWcompressionentropyinformation securityprivacyshort encryption key

More Related Videos

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.7K
DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
09:26

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

4.2K

Related Experiment Videos

Last Updated: Jul 16, 2025

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K
Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.7K
DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
09:26

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

4.2K

Area of Science:

  • Computer Science
  • Cryptography
  • Wireless Sensor Networks

Background:

  • Current encryption methods are inefficient for very short data in resource-constrained environments like wireless sensor nodes.
  • Standard encryption key lengths are often disproportionately large compared to the short data payloads (e.g., a few bytes).

Purpose of the Study:

  • To propose and evaluate a novel encryption approach for ultra-low-power and resource-constrained wireless network sensor nodes.
  • To enhance the transmission security of very short data sequences using data compression algorithms as encryption keys.

Main Methods:

  • Employing a complex of two data compression algorithms: Lempel-Ziv-Welch (LZW) and Huffman coding.
  • Utilizing these algorithms as a standard-length encryption key to obfuscate short data transmissions.

Main Results:

  • Demonstrated the feasibility of using data compression algorithms for encryption key generation.
  • Achieved data transmission obfuscation and a basic level of security for very short data sequences.

Conclusions:

  • LZW and Huffman coding offer a viable solution for securing short messages in microcontrollers (MCUs) within wireless sensor networks.
  • This approach addresses the limitations of traditional cryptosystems for ultra-low-power devices.