Micromovement Behavior as an Intention Detection Measurement for Preventing Insider Threats
Behavioral measurements have provided insightful information in many research areas, including insider threats; however, none of the previous research investigated the use of head micromovement patterns while presenting visual stimuli that represent possible malicious intentions to detect insiders...
Main Author: | Abdulaziz Almehmadi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8412475/ |
Similar Items
-
The Analysis of Emotion Authenticity Based on Facial Micromovements
by: Sung Park, et al.
Published: (2021-07-01) -
Analysis of micromovements and peri-implant stresses and strains around ultra-short implants – A three-dimensional finite-element method study
by: Nida Sumra, et al.
Published: (2021-01-01) -
A machine learning approach to detect insider threats in emails caused by human behaviour
by: Michael, Antonia
Published: (2021) -
A Review of Insider Threat Detection: Classification, Machine Earning Techniques, Datasets, Open Challenges, and Recommendations
by: Mohammed Nasser Al-Mhiqani, et al.
Published: (2020-07-01) -
A Review of Insider Threat Detection Approaches With IoT Perspective
by: Aram Kim, et al.
Published: (2020-01-01)