Article Submission

International Conference on Cybersecurity and Digital Education (CyberConfEdu)

Presentation and Scope

Cybersecurity and Artificial Intelligence (AI) are two rapidly evolving fields with an increasingly critical intersection. While AI offers powerful tools to enhance defenses and threat detection, it also creates new attack vectors and vulnerabilities that need to be carefully considered.

O III Workshop on AI and LLMs in Digital Research and Education It is establishing itself as a benchmark space for discussion, scientific exchange, and technological innovation at the intersection of Artificial Intelligence, large-scale language models (LLMs), and their applications in the context of cybersecurity.

In its third edition, the workshop reaffirms its commitment to promoting interdisciplinary knowledge, bringing together researchers, market professionals, teachers, and students interested in the use of emerging technologies in both [fields/contexts/etc.]. digital forensic investigation how much in digital education.

The event's main focus is to explore how advances in AI — especially LLMs — are transforming:

the processes of analyzing and investigating cyber incidents,
The automation of complex tasks in information security.
and teaching and learning methodologies in the digital field.

Furthermore, the workshop proposes a critical reflection on contemporary challenges, including:

the malicious use of AI in cyberattacks,
the security and reliability of the language models themselves,
and the ethical, legal, and regulatory aspects involved in adopting these technologies.

The 3rd Workshop will include:

submission and presentation of scientific articles,
lectures with experts from the academic and market fields,
thematic panels and interdisciplinary debates,
and sharing case studies and practical applications.

By establishing itself as a qualified forum for discussion, the event seeks to foster scientific production, stimulate innovation, and contribute to the training of professionals prepared for the current and future challenges of cybersecurity in an increasingly AI-driven environment.

Topics of Interest

CyberConfEdu accepts submissions on a wide range of topics, including but not limited to:

1. AI and LLMs in Digital Forensic Investigation

Use of LLMs in the automated analysis of digital evidence.
Extraction and interpretation of forensic artifacts with AI.
Application of LLMs in log analysis and event correlation.
Generative AI in the reconstruction of cyber incidents.
Automating memory dump analysis with LLMs
Use of AI in investigating crimes on mobile devices.
LLMs in supporting malware analysis
Semantic analysis of forensic data using language models.
AI-assisted chain of custody
AI applied to digital evidence screening (forensic triage)

2. LLMs applied to Cybersecurity

Use of LLMs for threat detection and incident response.
Fine-tuning LLMs for information security
LLMs as SOC Analysts Co-Pilots
Using generative AI to create detection rules (SIEM, IDS)
LLMs in vulnerability analysis
Integration of LLMs with security tools (EDR, SIEM, SOAR)
Prompt engineering for offensive and defensive security tasks.
LLMs in pentesting automation
Performance evaluation of LLMs in security tasks.

3. Digital Education and Cybersecurity Training with AI

Using LLMs as intelligent tutors in cybersecurity.
Generative AI in digital forensics education
Development of virtual laboratories with AI support.
Educational chatbots for security training
Using AI in the automated assessment of students.
Personalizing information security education with LLMs
Impact of LLMs on the training of cybersecurity professionals.
Use of AI in simulators and cyber ranges
Gamification with AI in safety education

4. AI as a Threat (Offensive AI)

Malicious use of LLMs in cyberattacks
Social engineering powered by AI (advanced phishing)
Automated malware generation with AI.
Deepfakes in digital fraud attacks
Automating attack campaigns with AI.
Jailbreaks in LLMs for offensive use
AI in evading detection systems
Language models as attack vectors

5. Security of LLMs and AI (Defensive AI)

Protection against attacks on language models.
Prompt injection and mitigation
Security in AI pipelines
Risk assessment in LLM-based systems
Defense against data poisoning.
Privacy in AI systems
Security in applications that use LLMs
AI monitoring and auditing

6. Ethical, Legal and Regulatory Aspects

Use of AI in digital investigations and legal implications.
Admissibility of AI-generated evidence
LGPD and the use of LLMs in digital investigation
Ethics in the use of AI in cybersecurity.
Biases in language models applied to security
Legal liability in AI-assisted decision making
AI Governance in Corporate Environments
AI regulation applied to security

7. Evaluation, Benchmarking and Comparative Studies

Comparison between LLMs in security tasks
Assessing AI accuracy in forensic analysis
Benchmark of AI-based tools
Metrics for evaluating LLMs in cybersecurity
Empirical studies using AI in SOCs
AI efficiency vs. human analysts

8. Practical Applications and Case Studies

Real-world use of LLMs in corporate investigations
Use cases for AI in incident response
Implementing AI in security operations centers (SOCs)
Case studies in AI-assisted digital forensics
Use of AI in government agencies
Experiences of using LLMs in academic teaching

9. Integration with Other Technologies

AI + Big Data in digital research
AI + IoT forensics
AI + Cloud Forensics
AI + Blockchain in evidence traceability
Edge AI applied to security
AI in SCADA/ICS environments

10. Methodologies, Frameworks and Architectures

Proposals for AI-based research frameworks
LLM-based forensic system architectures
Hybrid models (AI + human analysis)
Methodologies for using AI in digital forensics
Data pipeline for AI-assisted research

Instructions for Submission

Submissions must be made through the system. OJS da CyberConfEdu – Proceedings of the International Conference on Cybersecurity and Digital Education, available by clicking the button below:

Go to the Magazine

To submit your work, you must register. Submission instructions are available at the link.

Important dates

Event	Deadline
Deadline for article submissions	May 31, 2026
Acceptance/rejection notification	10 June 2026
Deadline for final version (Camera Ready)	17 June 2026
Publication date	19 June 2026

Publication

All accepted papers will be included in the Proceedings of the International Cybersecurity Workshop: Artificial Intelligence Interfaces.

Contact

For questions or additional information, please consult the page. Contact on the magazine's website.

Call for Papers: International Conference on Cybersecurity and Digital Education (CyberConfEdu)