Hybrid Conferencee

International Conference on Data Security using Machine Learning (ICDSML - 26)

7th - 8th October 2026 | Ruse, Bulgaria

10% DISCOUNT

Maximum discount capped at $30. Activate your Scholarly Discount during the payment phase to lower your final checkout amount.

REVEAL OFFER
EARLY10
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Ruse. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Ruse event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Ruse conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Ruse, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Ruse."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDSML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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