Hybrid Conferencee

International Conference on Big Data Security and Machine Learning (ICBDSML - 26)

25th - 26th August 2026 | Washington DC, USA

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Washington DC. 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 Washington DC 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 Washington DC conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Washington DC, 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 Washington DC."
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 12
SDG 12 Responsible Consumption and Production
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Advancements in Big Data Security

This track focuses on the latest methodologies and technologies for enhancing security in big data environments. Researchers are invited to present their findings on data protection mechanisms and frameworks that address emerging threats.

Track 02

Machine Learning Techniques for Cybersecurity

This session explores the application of machine learning algorithms in identifying and mitigating cybersecurity threats. Papers should discuss innovative approaches that leverage AI to enhance security protocols and threat detection.

Track 03

Predictive Analytics in IT Risk Management

This track examines the role of predictive analytics in assessing and managing IT risks. Contributions should highlight case studies and frameworks that utilize data-driven insights for proactive risk mitigation.

Track 04

Data Governance and Compliance in Big Data

This session addresses the challenges and best practices of data governance in the context of big data. Submissions should focus on compliance strategies that ensure data integrity and security.

Track 05

Scalable Computing Solutions for Big Data

This track investigates scalable computing architectures and technologies that facilitate the processing of large datasets. Researchers are encouraged to present innovative solutions that optimize performance and resource utilization.

Track 06

AI Algorithms for Intelligent Systems

This session delves into the development and application of AI algorithms in creating intelligent systems. Papers should explore novel approaches that enhance decision-making and automation through machine learning.

Track 07

Data Encryption Techniques for Enhanced Security

This track focuses on the latest advancements in data encryption methods to safeguard sensitive information. Researchers are invited to discuss the effectiveness and applicability of various encryption techniques in big data contexts.

Track 08

Cloud Computing and Data Protection Strategies

This session explores the intersection of cloud computing and data protection, emphasizing strategies to secure data in cloud environments. Contributions should address challenges and solutions related to data privacy and security in the cloud.

Track 09

Intelligent Systems for Data Analytics

This track highlights the integration of intelligent systems in the field of data analytics. Researchers are encouraged to present innovative applications that enhance data interpretation and decision-making processes.

Track 10

Emerging Trends in IT Infrastructure Security

This session examines the evolving landscape of IT infrastructure security in the context of big data and machine learning. Papers should focus on emerging trends, challenges, and solutions for securing IT environments.

Track 11

Collaborative Approaches to Big Data Challenges

This track encourages discussions on collaborative frameworks and partnerships that address the challenges of big data security and machine learning. Contributions should highlight interdisciplinary approaches and shared solutions.