• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Sunday, July 20, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News

Algorithms improve how we protect our data

Bioengineer by Bioengineer
May 4, 2021
in Science News
Reading Time: 2 mins read
0
ADVERTISEMENT
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

New algorithms are much better at estimating the security level of encrypted data.

IMAGE

Credit: DGIST

Daegu Gyeongbuk Institute of Science and Technology (DGIST) scientists in Korea have developed algorithms that more efficiently measure how difficult it would be for an attacker to guess secret keys for cryptographic systems. The approach they used was described in the journal IEEE Transactions on Information Forensics and Security and could reduce the computational complexity needed to validate encryption security.

“Random numbers are essential for generating cryptographic information,” explains DGIST computer scientist Yongjune Kim, who co-authored the study with Cyril Guyot and Young-Sik Kim. “This randomness is crucial for the security of cryptographic systems.”

Cryptography is used in cybersecurity for protecting information. Scientists often use a metric, called ‘min-entropy’, to estimate and validate how good a source is at generating the random numbers used to encrypt data. Data with low entropy is easier to decipher, whereas data with high entropy is much more difficult to decode. But it is difficult to accurately estimate the min-entropy for some types of sources, leading to underestimations.

Kim and his colleagues developed an offline algorithm that estimates min-entropy based on a whole data set, and an online estimator that only needs limited data samples. The accuracy of the online estimator improves as the amount of data samples increases. Also, the online estimator does not need to store entire datasets, so it can be used in applications with stringent memory, storage and hardware constraints, like Internet-of-things devices.

“Our evaluations showed that our algorithms can estimate min-entropy 500 times faster than the current standard algorithm while maintaining estimation accuracy,” says Kim.

Kim and his colleagues are working on improving the accuracy of this and other algorithms for estimating entropy in cryptography. They are also investigating how to improve privacy in machine learning applications.

###

Media Contact
Kwanghoon Choi
[email protected]

Original Source

https://dgist.ac.kr/en/html/sub06/060202.html

Related Journal Article

http://dx.doi.org/10.1109/TIFS.2021.3070424

Tags: Multimedia/Networking/Interface DesignSoftware EngineeringSystem Security/HackersTechnology/Engineering/Computer ScienceTheory/Design
Share12Tweet8Share2ShareShareShare2

Related Posts

blank

AI Diagnoses Structural Heart Disease via ECG

July 17, 2025
blank

Archaeal Ribosome Shows Unique Active Site, Hibernation Factor

July 17, 2025

Shape-Shifting Biphasic Liquids with Bistable Microdomains

July 17, 2025

Functional Regimes Shape Soil Microbiome Response

July 17, 2025
Please login to join discussion

POPULAR NEWS

  • Enhancing Broiler Growth: Mannanase Boosts Performance with Reduced Soy and Energy

    Enhancing Broiler Growth: Mannanase Boosts Performance with Reduced Soy and Energy

    73 shares
    Share 29 Tweet 18
  • New Organic Photoredox Catalysis System Boosts Efficiency, Drawing Inspiration from Photosynthesis

    54 shares
    Share 22 Tweet 14
  • IIT Researchers Unveil Flying Humanoid Robot: A Breakthrough in Robotics

    53 shares
    Share 21 Tweet 13
  • Overlooked Dangers: Debunking Common Myths About Skin Cancer Risk in the U.S.

    51 shares
    Share 20 Tweet 13

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

AI Diagnoses Structural Heart Disease via ECG

Archaeal Ribosome Shows Unique Active Site, Hibernation Factor

Shape-Shifting Biphasic Liquids with Bistable Microdomains

  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.