All Topics
All Topics
Technology
Technology
Design
Design
Programming
Programming
Science
Science
News
News
Gaming
Gaming
Entertainment
Entertainment
Business
Business
Finance
Finance
Sports
Sports
Health
Health
Food
Food
Travel
Travel
Art
Art
Music
Music
Books
Books
Education
Education
Politics
Politics
Personal
Personal
No algorithm. No AI slop. No ads. Just RSS. Pro-human. Indie writers. Real journalism. Open web. Chronological. Hand toasted.

Micro-LEDs Enable High-Speed Random Number Generation for Security Applications

By

giuliomagnifico

8mo ago· 3 min readenNews

Summary

Researchers from Saudi Arabia and the US have demonstrated that micro-LEDs can generate random numbers at gigabit-per-second speeds. This breakthrough has significant implications for data security (encryption keys, passwords) and computer simulations of complex systems like weather and financial markets. The technology offers a cost-effective, chip-scale solution for high-speed random number generation using intensity fluctuations from miniature LEDs.

Key quotes

· 4 pulled
Miniature LEDs called micro-LEDs have been shown to generate random numbers at gigabit-per-second speeds
The generation of random numbers is vital for many tasks, including data security — where it is used to create encryption keys and passwords
There is a strong demand to develop cost-effective random number generators that are small enough for chip-scale integration while also offering a fast generation rate
Intensity fluctuations from miniature LEDs provide ultrafast generation rates
Snippet from the RSS feed
Intensity fluctuations from miniature LEDs provide ultrafast generation rates.

You might also wanna read

Wi-Fi Router Beamforming Feature Can Be Exploited to Identify Individuals With 99.5% Accuracy, Study Finds

Researchers at Germany's Karlsruhe Institute of Technology discovered that standard Wi-Fi routers using beamforming feedback information (BF

futurism.com·11h ago

Behavioral feature engineering, not deep learning models, key to Trojan malware detection study finds

A study on Trojan malware detection focuses on behavioral feature engineering for Windows-based IoT and industrial systems. Rather than emph

helpnetsecurity.com·2d ago

MemoAttack: A Memory-Driven Framework for Automated LLM Jailbreak Attacks

This paper introduces MemoAttack, a novel memory-driven black-box jailbreak framework for large language models (LLMs). Unlike existing meth

arxiv.org·2d ago

CAPTCHAs remain viable for detecting AI agents by exploiting process differences

The article discusses how while AI vision language models (VLMs) can now solve traditional CAPTCHA image recognition tasks (like identifying

research.roundtable.ai·2d ago

Researchers discover hidden audio signals can hijack AI voice systems

AI-powered voice and audio systems (large audio-language models) are increasingly used in daily life for voice commands, transcription, and

spectrum.ieee.org·13d ago

Fabricked: Exploiting Infinity Fabric Misconfigurations to Break AMD SEV-SNP Confidential Computing

This paper (Fabricked) presents a novel software-based attack that exploits misconfigurations in AMD's Infinity Fabric to break AMD SEV-SNP,

xca-attacks.github.io·14d ago