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

Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

121
The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
121

You might also read

Related Articles

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

Sort by
Same author

Smart contact lens-trained digital twin for device-free personalized uric acid prediction.

Science advances·2026
Same author

Energy-efficient neural stimulation system design for implantable medical devices.

Biomedical engineering letters·2026
Same author

Emerging diverse 3D neural electrode architectures for bioelectronics.

Nanoscale horizons·2026
Same author

Musculoskeletal Digital Therapeutics and Digital Health Rehabilitation: A Global Paradigm Shift in Orthopedic Care.

Journal of clinical medicine·2025
Same author

Cu Nanoparticle Infiltration via Metal-Organic Decomposition Ink for Superior Mass Activity in CO Electroreduction.

Nano letters·2025
Same author

Multi-Channel Neural Interface for Neural Recording and Neuromodulation.

Small methods·2025
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 5, 2025

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
07:26

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

Published on: January 31, 2017

38.1K

Rowhammer Attacks in Dynamic Random-Access Memory and Defense Methods.

Dayeon Kim1, Hyungdong Park1, Inguk Yeo1

  • 1Department of Computer Engineering, Hongik University, Seoul 04066, Republic of Korea.

Sensors (Basel, Switzerland)
|January 23, 2024
PubMed
Summary
This summary is machine-generated.

Rowhammer, a Dynamic Random-Access Memory (DRAM) vulnerability, allows attackers to induce bit flips through targeted row access. Understanding DRAM organization is crucial for mitigating these security threats.

Keywords:
dynamic random-access memoryrowhammersecurityvulnerability

More Related Videos

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
08:53

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Published on: November 14, 2018

9.7K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K

Related Experiment Videos

Last Updated: Jul 5, 2025

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
07:26

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

Published on: January 31, 2017

38.1K
Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories
08:53

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Published on: November 14, 2018

9.7K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K

Area of Science:

  • Computer Science
  • Cybersecurity
  • Hardware Security

Background:

  • Dynamic Random-Access Memory (DRAM) is prevalent in modern computing systems.
  • Rowhammer, a hardware vulnerability in DRAM, was first identified in 2014.
  • This vulnerability poses significant risks to system security, including data integrity and availability.

Purpose of the Study:

  • To provide a comprehensive overview of the Rowhammer vulnerability in DRAM.
  • To discuss the mechanisms and stages of Rowhammer attacks.
  • To examine existing defense strategies and highlight the importance of DRAM organization.

Main Methods:

  • Literature review of Rowhammer vulnerability research.
  • Analysis of Rowhammer attack techniques.
  • Exploration of current defense mechanisms and mitigation strategies.

Main Results:

  • Rowhammer attacks exploit DRAM's physical structure to cause bit flips.
  • Successful attacks can compromise system credentials, integrity, and availability.
  • Understanding DRAM architecture is key to developing effective defenses.

Conclusions:

  • Rowhammer remains a critical security concern for systems utilizing DRAM.
  • Continued research into DRAM organization and security is essential.
  • Implementing robust defense strategies is necessary to protect against Rowhammer attacks.