HYBRID EVENT: You Can Participate In Person At Tokyo, Japan Or Virtually From Your Home Or Work
ICIADSC · Registering as Listener

International Conference on AI in Data Science for Cybersecurity

21–22 Aug 2026 Tokyo, Japan Standard / Physical Participation
Listener Registration
$199
virtual · $289 in person
Registration Benefits:
Official invitation letterIssued automatically after registration
Certificate & digital materialsGet certificate, slides and resource materials
Supporting global researchConnect with researchers across 30+ countries

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The deadline for Standard Participation has ended. Participants may continue with Virtual Registration to join the conference remotely.
All sessions Networking Certificate Invitation letter Conference kit

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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.
Payments encrypted & processed securely. Refundable up to 14 days before the event.

What you'll hear about

Session tracks covered across the event.
View all 11 tracks →
This track focuses on the application of artificial intelligence techniques in enhancing threat detection capabilities within cybersecurity frameworks. Participants will explore innovative algorithms and models that improve the identification of potential security breaches.
This session will delve into the integration of machine learning methodologies in the development of robust intrusion detection systems. Researchers will present novel approaches and case studies demonstrating the effectiveness of these systems in real-world scenarios.
This track emphasizes the role of data science in analyzing and mitigating malware threats. Participants will discuss various data-driven methodologies for understanding malware behavior and developing countermeasures.
This session will cover advanced techniques in anomaly detection aimed at identifying unusual patterns in network traffic. The focus will be on leveraging AI and data science to enhance the accuracy and efficiency of detection systems.
This track explores the intersection of cyber threat intelligence and predictive analytics using AI. Researchers will present frameworks that utilize historical data to forecast potential cyber threats and inform proactive security measures.
This session will investigate the application of security analytics in identifying and preventing phishing attacks. Attendees will learn about AI-driven techniques that enhance the detection of phishing attempts in various digital environments.
This track focuses on the utilization of AI and data science in developing effective fraud prevention strategies. Participants will share insights on innovative models that detect and mitigate fraudulent activities across different sectors.
This session will examine the role of blockchain technology in enhancing cybersecurity and ensuring data integrity. Researchers will discuss the implications of decentralized systems for secure data management and transaction verification.
This track addresses the challenges posed by adversarial machine learning techniques in cybersecurity applications. Participants will explore strategies to defend against adversarial attacks and improve the resilience of AI models.
This session will focus on the development of privacy-preserving AI techniques that ensure data confidentiality while maintaining security effectiveness. Researchers will discuss frameworks that balance privacy concerns with the need for robust cybersecurity measures.
This track will explore comprehensive risk management strategies that incorporate AI and data science principles. Participants will discuss methodologies for assessing and mitigating risks associated with cybersecurity threats.