Hybrid Conferencee

International Conference on Big Data Analytics and Machine Learning for IT Security (ICBDAMLITS - 26)

13th - 14th August 2026 | Lagos, Nigeria

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 Lagos. 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 Lagos 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 Lagos conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Lagos, 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 Lagos."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Advancements in Big Data Analytics

This track focuses on the latest methodologies and technologies in big data analytics. Researchers are invited to present innovative approaches that enhance data processing and interpretation in various domains.

Track 02

Machine Learning Techniques for IT Security

This session explores the application of machine learning algorithms in enhancing IT security measures. Contributions should address novel techniques that improve threat detection and response capabilities.

Track 03

Predictive Analytics in Cybersecurity

This track emphasizes the role of predictive analytics in anticipating and mitigating cybersecurity threats. Papers should discuss frameworks and models that leverage historical data for proactive security measures.

Track 04

Intelligent Systems for Data Protection

This session highlights the development of intelligent systems aimed at safeguarding sensitive information. Submissions should explore AI-driven solutions that enhance data protection strategies.

Track 05

Cloud Computing and Security Challenges

This track addresses the security implications of cloud computing in the context of big data. Researchers are encouraged to present solutions that tackle vulnerabilities and enhance data integrity in cloud environments.

Track 06

Data Encryption Techniques for IT Security

This session focuses on innovative encryption methods that secure data in transit and at rest. Contributions should highlight advancements in cryptographic algorithms and their practical applications.

Track 07

Data Integration and Automation in IT Systems

This track examines the challenges and solutions related to data integration and automation within IT infrastructures. Papers should discuss frameworks that streamline data workflows and enhance operational efficiency.

Track 08

Optimization of Machine Learning Models

This session explores strategies for optimizing machine learning models for better performance in IT security applications. Researchers are invited to share techniques that improve accuracy and reduce computational costs.

Track 09

Frameworks for Big Data Analytics in Security

This track focuses on the development and evaluation of analytical frameworks tailored for security applications. Submissions should present case studies demonstrating the effectiveness of these frameworks in real-world scenarios.

Track 10

AI Algorithms in Cyber Threat Intelligence

This session investigates the use of AI algorithms in generating actionable cyber threat intelligence. Papers should explore methodologies that enhance the detection and analysis of emerging threats.

Track 11

Future Trends in IT Security and Machine Learning

This track anticipates future developments at the intersection of IT security and machine learning. Researchers are encouraged to propose visionary concepts and research directions that could shape the future landscape.