Pre-Enrollment

14th November 2026

Final Paper Submission

19th November 2026

Registration Deadline

29th November`2026

Conference Date

14th Dec - 15th Dec 2026

Call for Papers

The International Conference on Data Security using Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine Learning For Cybersecurity
02
Data Encryption Techniques Using Ml
03
Anomaly Detection In Network Security
04
Threat Intelligence Using Machine Learning
05
Privacy-preserving Machine Learning Methods
06
Fraud Detection In Financial Systems
07
Security Challenges In Ml Applications
08
Data Integrity In Machine Learning
09
Machine Learning For Malware Detection
10
Risk Assessment Using Predictive Analytics
11
Secure Data Sharing In Ml Systems
12
Adversarial Machine Learning Techniques
13
Incident Response Using Machine Learning
14
Vulnerability Assessment In Software Systems
15
Machine Learning For Identity Verification
16
Security Protocols For Ml Models
17
Future Trends In Data Security
18
Machine Learning For Cloud Security
19
Data Breach Detection Strategies
20
Ethical Considerations In Data Security
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review