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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
12.4K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

13.9K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
13.9K

You might also read

Related Articles

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

Sort by
Same author

Light weight encryption technique: a cellular automaton based approach for securing health records.

Scientific reports·2025
Same author

Analyzing mental stress in Indian students through advanced machine learning and wearable technologies.

Scientific reports·2025
Same author

FFLUNet: Feature Fused Lightweight UNet for brain tumor segmentation.

Computers in biology and medicine·2025
Same author

A novel approach to intrusion detection system using hybrid flower pollination and cheetah optimization algorithm.

Scientific reports·2025
Same author

Optimizing neural networks using spider monkey optimization algorithm for intrusion detection system.

Scientific reports·2024
Same author

Positive airway pressure (PAP) as a remedy for treatment-resistant migraine - A case report.

Lung India : official organ of Indian Chest Society·2024

Related Experiment Video

Updated: Jun 1, 2025

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
00:09

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.3K

Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms.

Purushottam Singh1, Prashant Pranav2, Sandip Dutta2

  • 1Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835215, India. purushottamsingh@outlook.com.

Scientific Reports
|January 17, 2025
PubMed
Summary

This study introduces a hybrid cryptographic framework using machine learning and genetic algorithms to enhance security and efficiency. AES-GCM showed superior performance, demonstrating advancements in cybersecurity protocols.

Keywords:
Cryptographic protocolsData augmentationGenetic algorithmsSecurity optimizationSide-channel attacksWGAN-GP

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

10.9K

Related Experiment Videos

Last Updated: Jun 1, 2025

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
00:09

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.3K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

10.9K

Area of Science:

  • Cybersecurity
  • Cryptography
  • Machine Learning

Background:

  • Traditional cryptographic protocols face evolving security threats.
  • Enhancing efficiency and resistance to cryptanalysis is crucial for modern cybersecurity.

Purpose of the Study:

  • To introduce a novel hybrid cryptographic framework.
  • To evaluate the impact of advanced methodologies on cryptographic protocols.
  • To assess security, efficiency, and resistance to attacks.

Main Methods:

  • Integration of Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) and Genetic Algorithms (GA).
  • Evaluation of cryptographic protocols: AES-ECB, AES-GCM, ChaCha20, RSA, and ECC.
  • Analysis of security level, efficiency, side-channel resistance, and cryptanalysis resistance.

Main Results:

  • The hybrid framework significantly enhances security and efficiency across all tested protocols.
  • AES-GCM demonstrated superior performance with minimal computation time.
  • Robust side-channel resistance was observed with the integrated approach.

Conclusions:

  • Machine learning and evolutionary algorithms can significantly advance cryptographic protocol security and efficiency.
  • The developed framework provides a robust foundation for future cybersecurity innovations.
  • Hybrid approaches offer a promising direction for next-generation cryptographic solutions.