International Conference on AI in Data Science for Cybersecurity

ICIADSC

5th Jan – 6th Jan 2027 Bordeaux, France

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Registration Summary

Conference ICIADSC

Date 5th Jan – 6th Jan 2027

Location Bordeaux, France

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 AI-Driven Threat Detection Mechanisms +

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.

SDG 9 SDG 16

02 Machine Learning for Intrusion Detection Systems +

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.

SDG 9 SDG 16

03 Data Science Techniques for Malware Analysis +

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.

SDG 9 SDG 16

04 Anomaly Detection in Network Security +

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.

SDG 9 SDG 16

05 Cyber Threat Intelligence and Predictive Analytics +

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.

SDG 9 SDG 16

06 Security Analytics for Phishing Detection +

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.

SDG 16

07 Fraud Prevention through AI and Data Science +

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.

SDG 8 SDG 16

08 Blockchain Security and Data Integrity +

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.

SDG 9 SDG 16

09 Adversarial Machine Learning in Cybersecurity +

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.

SDG 9 SDG 16

10 Privacy-Preserving AI in Cybersecurity +

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.

SDG 16

11 Risk Management Strategies in Cybersecurity +

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.

SDG 16