HYBRID EVENT
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ICBDSML · Registering as Listener
International Conference on Big Data Security and Machine Learning
10–11 Aug 2026
Cali, Colombia
Standard / Physical
Participation
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$
169
virtual · $246 in person
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Certificate & digital materials
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Supporting global research
Connect with researchers across 30+ countries
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Standard / Physical
$246
On-site keynotes, talks, workshops, networking, conference kit and certificate.
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$169
Live streaming access to all sessions, digital materials and certificate.
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Standard Registration Closed
The deadline for Standard Participation has ended. Participants may continue with Virtual Registration to join the conference remotely.
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1. Policy on Cancellations & Refunds :
A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.
2. Participation & Registration Requirements :
To attend an ISIT event, participants must complete the registration process within the stipulated time.
The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
ISIT is not liable for any financial losses resulting from changes in event details.
Fees paid for registration are strictly non-refundable.
If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.
3. Submission & Publication Norms :
Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
Each submission is subject to a rigorous peer review before being accepted for presentation.
Only papers linked to a completed registration will be included in conference proceedings.
The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
Once a paper is removed, it cannot be reintroduced into any ISIT publication.
4. Travel & Accommodation Responsibilities :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
5. Visa & Invitation Letter Policy :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
ISIT does not engage directly with consulates or embassies on behalf of attendees.
Participants must handle their own visa applications and processes.
Important Information Regarding Invitation Letters:
The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
The letter assists in visa applications but does not guarantee visa approval.
ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
Legal action may be pursued if the document is misused.
By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.
6. Registration Transfers :
Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
Transfer requests must be made via email to info@isit.org.in with necessary details and supporting documents.
Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
Transferred registrations are not eligible for refunds.
7. General Considerations :
Any modifications or cancellations must be communicated in writing to info@isit.org.in.
Registration confirms acknowledgment and acceptance of these policies.
ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
Once registered, participants must submit a conference registration form within three days for confirmation.
Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.