International Journal of Engineering Technology and Applied Science

ISSN (Online): 2395-3853






Notice Board :

Call for Paper
Vol. 12 Issue 1

Submission Start Date:
January 1, 2026

Acceptence Notification Start:
January 20, 2026

Submission End:
January 25, 2026

Final ManuScript Due:
January 29, 2026

Publication Date:
January 31, 2026
                         Notice Board: Call for PaperVol. 12 Issue 1      Submission Start Date: January 1, 2026      Acceptence Notification Start: January 20, 2026      Submission End: January 25, 2026      Final ManuScript Due: January 29, 2026      Publication Date: January 31, 2026



Volume X Issue II

Paper Title
A Review on Data Privacy Using Federated Learning and Deep Learning
Author Name
Vipin Verma
Year Of Publication
2024
Volume and Issue
Volume 10 Issue 2
Abstract
A robust security framework that effectively safeguards IoT systems against potential adversarial attacks is in high demand. However, creating an appropriate security model for IoT is complex due to its dynamic and distributed nature. This complexity has spurred researchers to delve into the role of machine learning (ML) in shaping security models. An examination of various ML algorithms for IoT security is presented, accompanied by an exploration of their strengths and limitations.
PaperID
IJETAS/February/2024/01