On-location / Digital Conference

International Conference on Big Data Security and Engineering Challenges (ICBDSEC-27)

26th - 27th Apr 2027,Vienna, Austria

In Association With:


Important Dates


Early Bird Registration

27th Mar 2027

Paper Submission Deadline

1st April 2027

Registration Deadline

11th April 2027

Conference Date

26th - 27th Apr 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Vienna ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Vienna conference.
  • Peer Review Process:
    The peer review process will begin soon for Vienna conference.
  • Networking with Global Experts:
    Join global experts at our conference in Vienna.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

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 — Industry, Innovation and Infrastructure
SDG 16 — Peace, Justice and Strong Institutions
Session Tracks
Track 01
Innovations in Data Protection Mechanisms

This track focuses on the latest advancements in data protection technologies, including encryption and secure data storage solutions. Participants will explore how these innovations can effectively mitigate risks associated with big data environments.

Track 02
Cloud Security Architectures for Big Data

This session will examine the unique security challenges posed by cloud environments in the context of big data. Discussions will center around architectural frameworks that enhance security and compliance in cloud-based data analytics.

Track 03
Access Control Models for Distributed Systems

This track will delve into the development and implementation of access control models tailored for distributed systems. Emphasis will be placed on ensuring secure data access while maintaining system performance and user experience.

Track 04
Risk Assessment Strategies in Big Data Security

Participants will engage in discussions on effective risk assessment methodologies specific to big data security challenges. The focus will be on identifying vulnerabilities and implementing proactive measures to enhance resilience.

Track 05
Threat Mitigation Techniques in Data Analytics

This session will explore various threat mitigation techniques that can be applied within data analytics frameworks. Attendees will learn about best practices for safeguarding sensitive information against emerging threats.

Track 06
Compliance Frameworks for Data Governance

This track will address the importance of compliance frameworks in ensuring robust data governance. Participants will discuss regulatory requirements and best practices for maintaining compliance in big data environments.

Track 07
Intrusion Detection Systems for Big Data Environments

This session will focus on the design and implementation of intrusion detection systems specifically for big data applications. The discussion will highlight the challenges and solutions in detecting and responding to security breaches.

Track 08
Resilience Strategies for Secure Data Storage

This track will explore strategies to enhance the resilience of secure data storage solutions against various threats. Participants will discuss the balance between security, accessibility, and performance in data storage systems.

Track 09
Secure Data Analytics: Techniques and Tools

This session will cover the latest techniques and tools for conducting secure data analytics. Emphasis will be placed on ensuring data integrity and confidentiality throughout the analytics process.

Track 10
Distributed Systems Security Challenges

This track will investigate the security challenges inherent in distributed systems, particularly in the context of big data. Participants will share insights on securing data flows and maintaining system integrity across distributed architectures.

Track 11
Emerging Trends in Security Engineering for Big Data

This session will highlight emerging trends and future directions in security engineering as it relates to big data. Attendees will explore innovative approaches to address evolving security threats and challenges.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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