The goal of the workshop:

AIFC aims to stimulate dynamic, progressive, potentially paradigm-altering innovative practices and methodologies for digital forensics and cybersecurity that leverage state-of-the-art AI approaches to facilitate or automate the detection, prevention, and mitigation process.

Workshop theme:

In the previous three years, “Data Science & Machine Learning for Cybersecurity, IoT & Digital Forensics (DSML)” emphasized analytical techniques. However, the field has since shifted toward broader and more integrated applications of artificial intelligence across digital forensics, threat detection, and cybersecurity resilience. AI for Forensics and Cybersecurity (AIFC) better reflects this evolving focus and scope.

Security is the topmost concern in both the physical and digital worlds. The challenges in ensuring security and privacy in cyberspace are ever-evolving, with a multidisciplinary scope. In addition, cyber adversaries are becoming more sophisticated in creating and launching their attacks. Individuals, government, corporate, and non-profit organizations are equally vulnerable to cyber-attacks. These attacks uncover individual data, vital government resources, and corporate insider facts. Consequently, they impact individual well-being and bring more significant risks. It is of prime importance that the cybersecurity and digital forensics community develops resources, methods, and best practices that can identify security and privacy issues and support case investigations in various aspects of computing: software, database, operating systems, network, and so on.

While cybersecurity risks are higher than ever with increased reliance on technologies with the advent of the Covid-19 pandemic, various surveys and workforce data published by the government, public institutions, and private organizations indicate a prominent skill and talent gap in the cybersecurity and digital forensics workforce. Therefore, it is intrinsic to rely on designing and building predictive models to lessen reliance on human experts and address this gap. This workshop aims to explore the application of AI in the areas of cybersecurity and digital forensics and highlights the outcomes from current security incidents, including the notion of threats, the overall status of vulnerabilities, and the conceivable outcomes of security drawbacks.

AIFC encourages academics and practitioners to share strategies and methodologies, business innovations, security measurements, risk assessment practices, guidelines and policies, physical security challenges and solutions, and novel tools and technologies to develop secure systems and manage privacy.

Scope of the workshop:

AIFC invites high-quality manuscripts encompassing proven research, prototypes, proof of concepts, novel ideas, experimental results, technical papers, and methodologies addressing different attributes of cybersecurity and digital forensics for the connected world. Submitted work should focus on the interests of multi-disciplinary stakeholders of cybersecurity and digital forensics, with a focus on overcoming discrimination and appraising the interrelationships among components that involve an advanced cybersecurity framework, computational architecture, programming paradigm, policies, and individuals.

The topics of interest addressing challenges include, but are not limited to:

Security Lifecycle: Secure Design and Development
Defensive algorithms and adversarial training
Protecting privacy and security in digital communication
Managing privacy and security with heterogeneous platforms (e.g., Cloud, IoT, Social
Networks)
Role of governments, laws, and policies
Digital Identity: Trust, Authority, and Authorization
Insider threats and network activities
Risk and Vulnerability Analysis
Defender response: tools and strategies
Cybersecurity Education: tools and methodologies
AI for digital forensics
AI models for predicting digital forensics events