Scope

Theme: Cyber analytics and forensics in the era of emerging threats

Novel cyber threats are continuously emerging, catalysed by the rapid deployment of Large Language Model and other AI across many domains which increases the threat surface in many sectors such as Smart Industry, Fintech and digital government. The focus of this conference is to provide a platform for discussing  these emerging threats and to identify priorities for the community to target  with the next generation of cyber analytics. We particularly welcome research which studies the dynamics between human factors and AI technologies and the corresponding impact upon cybersecurity and forensics.

Topics 

Applications of artificial intelligence (AI) and other related technologies

    Anti-forensics and anti-anti-forensics (e.g., deepfake)
    Deep learning
    Explainable AI (XAI)
    Generative AI (GenAI)
    Large language model (LLM)

Device forensics

    Blockchain investigations
    Internet of Things (IoT) forensics (including industrial IoT, medical IoT, military IoT, battlefield IoT, and vehicular IoT)
    Edge and/or cloud forensics
    Network and distributed system forensics
    Virtual / augmented reality (VR/AR) forensics
    Other emerging / contemporary technologies (e.g., hardware and software such as firmware and operating systems)

Financial crime investigations

    Financial frauds and scams
    Cryptocurrency investigations
    Market manipulation investigations
    Anti-money laundering / counter terrorism financing investigations
    Anti-corruption investigations

Cyber security and analytics

    Network security (e.g., intrusion detection)
    Malware analysis
    IoT security
    Security operations center
    Virtual / augmented reality (VR/AR)

Human Behavior and Cybersecurity

    Cognitive and behavioural studies in cybersecurity
    Social engineering attacks and defences
    Human factors in secure software and hardware engineering
    Societal impact of cybersecurity controls, threats and crime (incl. cross-cultural and cross-demographic perspectives)

Education and Evaluation

    Case studies – legal (e.g., child sexual abuse material) and/or technical
    Infrastructure
    Methodology
    Replicability and validity
    Tool validation

Theory and fundamentals

    Anti-forensics and anti-anti-forensics (e.g., encryption and deepfake)
    Frameworks (legal, policy, and/or technical)
    Privacy-preserving forensics
    Social and privacy
    Steganography and steganalysis
    Visualization methods and tools for forensic analysis