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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

334
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
334
Relative Risk01:12

Relative Risk

2.2K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.2K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.9K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.9K
Drug Toxicity: Risk factors01:24

Drug Toxicity: Risk factors

2
Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
2
Measurement: Standard Units03:38

Measurement: Standard Units

82.3K
Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
82.3K
Measures of Central Tendency02:16

Measures of Central Tendency

21.5K
The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians,...
21.5K

You might also read

Related Articles

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

Sort by
Same author

Environmental management cycles for chemicals and climate change, EMC<sup>4</sup> : A new conceptual framework contextualizing climate and chemical risk assessment and management.

Integrated environmental assessment and management·2023
Same author

Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences.

Risk analysis : an official publication of the Society for Risk Analysis·2023
Same author

Reducing Diabetic Ketoacidosis Readmissions with a Hospital-School-Based Improvement Partnership.

American journal of medical quality : the official journal of the American College of Medical Quality·2023
Same author

Defining Cyber Security and Cyber Security Risk within a Multidisciplinary Context using Expert Elicitation.

Risk analysis : an official publication of the Society for Risk Analysis·2021
Same author

Interdisciplinary Lessons Learned While Researching Fake News.

Frontiers in psychology·2021
Same author

Participation shifts explain degree distributions in a human communications network.

PloS one·2019

Related Experiment Video

Updated: Feb 14, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

88.1K

Characterizing and Measuring Maliciousness for Cybersecurity Risk Assessment.

Zoe M King1, Diane S Henshel1, Liberty Flora1

  • 1School of Public and Environmental Affairs, Indiana University Bloomington, Bloomington, IN, United States.

Frontiers in Psychology
|February 21, 2018
PubMed
Summary

Understanding human maliciousness is crucial for cybersecurity risk assessment. This study reviews literature and proposes metrics to analyze intent to harm through observable behaviors, enhancing cyber defense strategies.

Keywords:
cyber securitycyber terrorismhuman risk factorsmalicious intentmetricsmotivationrational behavior

More Related Videos

Assessing Agrochemical Risk to Mated Honey Bee Queens
08:49

Assessing Agrochemical Risk to Mated Honey Bee Queens

Published on: March 3, 2021

3.3K
In Vitro Rearing of Solitary Bees: A Tool for Assessing Larval Risk Factors
08:50

In Vitro Rearing of Solitary Bees: A Tool for Assessing Larval Risk Factors

Published on: July 16, 2018

8.7K

Related Experiment Videos

Last Updated: Feb 14, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

88.1K
Assessing Agrochemical Risk to Mated Honey Bee Queens
08:49

Assessing Agrochemical Risk to Mated Honey Bee Queens

Published on: March 3, 2021

3.3K
In Vitro Rearing of Solitary Bees: A Tool for Assessing Larval Risk Factors
08:50

In Vitro Rearing of Solitary Bees: A Tool for Assessing Larval Risk Factors

Published on: July 16, 2018

8.7K

Area of Science:

  • Cybersecurity
  • Human Factors Research
  • Risk Assessment

Background:

  • Cyber attacks are increasing globally, necessitating holistic approaches to cybersecurity risk assessment.
  • Human factors, including rationality, expertise, and maliciousness, significantly influence cyber risk.
  • Existing literature inadequately characterizes human maliciousness within cybersecurity contexts.

Purpose of the Study:

  • To review interdisciplinary literature on human maliciousness (sociology, psychology, law, etc.).
  • To identify assessment metrics for characterizing human maliciousness in the cyber realm.
  • To integrate these metrics into a Human Factors risk framework for holistic cybersecurity analysis.

Main Methods:

  • Literature review across diverse academic disciplines.
  • Analysis of existing maliciousness assessment metrics and instruments.
  • Development of a Human Factors risk framework and ontology.

Main Results:

  • Identified a significant gap in research concerning human maliciousness in cybersecurity.
  • Defined maliciousness as the intent to harm.
  • Proposed observable behaviors and attributes as proxies for assessing cyber-related maliciousness.

Conclusions:

  • Characterizing human maliciousness is essential for comprehensive cybersecurity risk assessment.
  • Observable behaviors offer a viable alternative to direct interviews for assessing malicious intent.
  • The proposed framework and metrics aim to quantify individual risk to systems and users.