แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Ochiai, Hideya. Behavioral authentication using activity-based model segregation in convolutional neural networks for mobile sensor data. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Behavioral authentication using activity-based model segregation in convolutional neural networks for mobile sensor data
Organization :
Chiang Mai University. Faculty of Science
Email :
thapanapong.r@cmu.ac.th
Name: Saksinkarn Petchkuljinda
Organization :
Chiang Mai University. Faculty of Science
Email :
saksinkarn_p@cmu.ac.th
Name: Ochiai, Hideya
Organization :
The University of Tokyo Graduate School of Information Science and Technology
Email :
ochiai@elab.ic.i.u-tokyo.ac.jp
keyword:
Human Activity Recognition
LCSH:
Authentication
Abstract:
This study explores user authentication through
Convolutional Neural Networks (CNN) on mobile sensor data,
aiming to enhance security in mobile computing. We utilized
the MobiAct dataset to authenticate individuals based on behavioral
patterns captured by smartphone sensors. Our approach
compares different data segmentation strategies, focusing on
the impact of window size and sliding step on four performance
metrics: accuracy, precision, recall, and F1-score. Results
demonstrate that larger window sizes generally lead to increased
accuracy. We examine the implications of activity-based model
segregation, leading to improvements in precision and overall
model stability. We also confirm that walking is most suitable
activity in identifying individual. This research contributes to the
growing field of behavioral-based user authentication, showcasing
the potential of using inherent motion sensor data in smartphones
for creating more personalized and secure user experiences
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-05-22
Issued:
2025-05-22
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Thailand Section (IEEE Computer Society Thailand Chapter) and Prince of Songkla University. College of Computing. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024)) (pp.146-152). Phuket : Prince of Songkla University
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.037116 วินาที
Thapanapong Rukkanchanunt
| Title | Contributor | Type |
|---|---|---|
| Behavioral authentication using activity-based model segregation in convolutional neural networks for mobile sensor data
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Thapanapong Rukkanchanunt;Saksinkarn Petchkuljinda;Ochiai, Hideya | บทความ/Article |
Saksinkarn Petchkuljinda
| Title | Contributor | Type |
|---|---|---|
| Behavioral authentication using activity-based model segregation in convolutional neural networks for mobile sensor data
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Thapanapong Rukkanchanunt;Saksinkarn Petchkuljinda;Ochiai, Hideya | บทความ/Article |
Ochiai, Hideya
| Title | Contributor | Type |
|---|---|---|
| Behavioral authentication using activity-based model segregation in convolutional neural networks for mobile sensor data
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Thapanapong Rukkanchanunt;Saksinkarn Petchkuljinda;Ochiai, Hideya | บทความ/Article |