Call for Papers

IDFC 2027 - Varna, Bulgaria

Scope

The International Conference on Intelligent Digital Forensics and Cybersecurity (IDFC 2027) aims to bring together leading researchers, practitioners, and policymakers to share advances in forensic science, cybersecurity defense, and intelligence analytics. With the proliferation of AI, including the recent rise of generative AI, IoT, blockchain, and cloud technologies, the boundaries between cybersecurity and forensics are increasingly intertwined. IDFC 2027 provides a platform to explore the convergence of these domains for effective cybercrime prevention, digital evidence handling, and trust preservation.

The conference invites novel contributions that address emerging threats, privacy challenges, and innovative tools that strengthen cyber defense and forensic investigations across multiple disciplines. In particular, IDFC 2027 seeks to highlight the transformative role of generative AI and other emerging technologies in shaping the future of digital forensics and cybersecurity. Contributions exploring the creation and detection of synthetic content, deepfake forensics, generative threat modeling, and AI-driven forensic intelligence are especially encouraged. By fostering dialogue on these cutting-edge intersections, IDFC 2027 aims to promote resilient, adaptive, and intelligent cyber-forensic ecosystems that uphold digital trust and transparency.

Conference Tracks

Track 1 — Digital Forensics & Incident Response

Track 2 — Cybersecurity & Cyber Defense

Track 3 — Trustworthy & Generative AI

Track 4 — Applied AI Across Domains

Tracks & Topics of Interest

IDFC 2027 is organized into four thematic tracks that together cover the convergence of digital forensics, cybersecurity, trustworthy AI, and applied AI across domains. Original research, case studies, systems, datasets, and visionary papers are welcome under any of these tracks, including but not limited to:

Advanced Digital Forensics Track 1

  • Memory, firmware, and hardware-assisted forensics
  • Live forensics and real-time evidence acquisition
  • Cross-platform and cross-device forensic correlation
  • Timeline reconstruction and event attribution at scale
  • Forensics for encrypted, ephemeral, and volatile data
  • Automated triage and prioritization of digital evidence
  • Multimedia forensics (image, video, audio, and sensor data)
  • Forensics for cyber-physical systems and smart infrastructures

Blockchain, Web3 & Financial Crime Forensics Track 1

  • Smart contract analysis and vulnerability forensics
  • Cryptocurrency tracing and transaction graph analysis
  • DeFi fraud, rug pulls, and NFT-related crimes
  • Forensics for decentralized identity (DID) systems
  • Tokenomics manipulation and market abuse detection
  • Cross-chain forensic analysis and interoperability challenges

IoT, Edge & Cyber-Physical System Forensics Track 1

  • Forensics for smart homes, vehicles, drones, and wearables
  • Industrial IoT (IIoT) and critical infrastructure forensics
  • Edge AI security and forensic challenges
  • Digital twins for forensic reconstruction
  • Sensor data integrity and provenance verification

Human, Social & Cognitive Dimensions of Cybercrime Track 1

  • Social engineering and phishing analysis using AI
  • Behavioral analytics for insider threat detection
  • Cognitive forensics and decision-making under uncertainty
  • Misinformation, disinformation, and influence operations
  • Online radicalization and coordinated inauthentic behavior

Next-Generation Cybersecurity & Cyber Defense Track 2

  • AI-driven cyber defense and autonomous response systems
  • Adversarial attacks against security systems and AI models
  • Post-quantum cryptography and forensic readiness
  • Cyber deception, honeypots, and active defense strategies
  • Supply-chain attacks and software integrity verification
  • Detection and mitigation of insider threats
  • Security for 5G/6G networks and edge computing
  • Cyber resilience and recovery modeling

Privacy-Preserving, Distributed & Trustworthy Forensics Track 2

  • Federated and decentralized forensic learning
  • Secure multi-party computation for investigations
  • Homomorphic encryption in forensic analytics
  • Confidential computing and trusted execution environments
  • Privacy-preserving evidence sharing across organizations
  • Secure data collaboration between law enforcement and industry
  • Transparency, auditability, and reproducibility in forensic systems

Legal, Ethical & Policy Perspectives Track 2

  • Legal implications of AI-generated evidence
  • Explainability requirements for AI in court proceedings
  • Standards and certification for forensic AI tools
  • Accountability and liability in automated investigations
  • Cross-border evidence sharing and digital sovereignty
  • Ethics-by-design for intelligent forensic systems
  • Policy frameworks for regulating generative AI misuse

Applied Systems, Tools & Case Studies Track 2

  • End-to-end forensic platforms and real-world deployments
  • National and international cybercrime case studies
  • Public-private collaboration models in cyber investigations
  • Evaluation of forensic tools in operational environments
  • Lessons learned from large-scale cyber incidents

AI & Machine Learning for Security and Forensics Track 3

  • Foundation models for security analytics
  • Multimodal AI for forensic reasoning and correlation
  • Continual, online, and adaptive learning in forensic systems
  • Robust ML against poisoning and evasion attacks
  • Human-in-the-loop AI for investigative decision support
  • Causal AI for cyber incident attribution
  • Trust, fairness, and bias analysis in forensic AI
  • Benchmarking datasets and evaluation metrics for forensic AI

Generative AI & Synthetic Media Forensics Track 3

  • Detection, attribution, and provenance of AI-generated content
  • Deepfake forensics for images, video, voice, and text
  • Watermarking, fingerprinting, and content authenticity verification
  • Generative AI for attack simulation and red teaming
  • Generative models for reconstructing missing or damaged evidence
  • Prompt forensics and analysis of LLM misuse
  • Adversarial generative models and forensic countermeasures
  • Forensics of AI agents and autonomous systems

Privacy-Preserving Federated Learning Track 3

  • Federated learning for collaborative forensic analysis
  • Differential privacy in distributed cyber investigations
  • Secure multi-party computation for evidence sharing
  • Privacy-aware threat intelligence aggregation
  • Homomorphic encryption for forensic data processing

Visionary & Emerging Topics Track 3

  • Self-healing and self-forensic cyber systems
  • Autonomous cyber investigators and AI agents
  • Forensics for metaverse and extended reality (XR) environments
  • Digital trust ecosystems and evidence provenance at scale
  • The future of cyber forensics in an AI-native world

AI in Scientific & Industrial Domains Track 4

  • AI in materials science: data provenance and IP protection
  • AI in healthcare & biomedical systems: privacy-preserving ML
  • AI in climate & earth sciences: satellite/sensor data integrity
  • AI in drug discovery: adversarial molecule generation, model theft
  • AI in autonomous vehicles, drones, robotics, and Industry 4.0/5.0
  • AI in energy systems, smart grids, and connected infrastructure
  • Reproducibility and fraud detection in published AI research

AI in Human-Centric Domains & Cross-Cutting Trust & Safety Track 4

  • AI in finance, fintech, and fraud analytics
  • AI in education: integrity, assessment, and content authenticity
  • AI in legal & judicial systems: evidence and accountability
  • AI in journalism, media, and information ecosystems
  • AI safety, red-teaming, and responsible disclosure for high-stakes domains
  • Explainability, auditability, and verifiability of domain-AI systems
  • Provenance, watermarking, and authenticity for domain datasets
  • Regulation, certification, and standards for applied AI

Submission Types

IDFC 2027 accepts the following types of submissions.

Research Papers
up to 8 pages

Rigorous studies, frameworks, or systems with validated results and significant contributions.

Short Papers
4-6 pages

Exploratory or early-stage work, position papers, or focused contributions.

Demo & Artifact Papers
4-6 pages

Live demonstrations of working forensic or security tools, prototypes, or interactive systems, and reproducible code, datasets, or benchmarks accompanying a contribution.

Poster Papers
1-2 pages

Preliminary findings or late-breaking results presented as posters.

How It Works

From submission to stage

  1. Submit
    TBA
    Upload your PDF via EasyChair using the IEEE template.
  2. Peer Review
    Single-blind
    Each paper is reviewed by the technical program committee.
  3. Notification
    TBA
    Accept / reject decisions with reviewer feedback.
  4. Camera-Ready
    TBA
    Final PDF via IEEE PDF Xpress + copyright form.
  5. Conference
    September 2027
    Present in Varna, on-site or online.