Pre-Enrollment

15th November 2026

Final Paper Submission

20th November 2026

Registration Deadline

30th November`2026

Conference Date

15th Dec - 16th Dec 2026

Call for Papers

The International Conference on Big Data Security and 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 Big Data,Machine Learning,Information Technology, 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
Big Data Security Challenges And Solutions
02
Machine Learning For Cybersecurity Applications
03
Data Privacy In Big Data Environments
04
Threat Detection Using Machine Learning
05
Big Data Encryption Techniques
06
Anomaly Detection In Big Data Systems
07
Machine Learning For Data Breach Prevention
08
Big Data Compliance And Regulations
09
Security Frameworks For Big Data Applications
10
Machine Learning For Fraud Detection
11
Data Governance In Security Contexts
12
Big Data Risk Management Strategies
13
Incident Response Using Machine Learning
14
Big Data Security Analytics Tools
15
Machine Learning For Identity Verification
16
Big Data In Threat Intelligence
17
Cybersecurity Frameworks For Big Data
18
Machine Learning For Vulnerability Assessment
19
Big Data Security In Cloud Environments
20
Future Trends In Big 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