AISE 2020

Call for Papers

The widespread diffusion of computational capabilities in a plethora of aspect of every-day life (for instance mobile devices, cars, smart houses, critical infrastructures, e-health), and the penetration of computers and software in enterprises of every dimension have led to an enormous number of victims of cyber attacks.

Malware writers are targeting not only end-users, but also companies and public services: the last trend is represented by the so-called ransomware that has reached epidemic proportions globally. Global ransomware damage cost will rise to $11.5 billion in 2019. Mobile malware, banking malware, and ransomware are the primary threats to expect in 2019.

Research community in last years has provided several methodologies to detect security threats, but the number of false positive is usually too high to consider their solutions in the real-world environment. In addition, scientific literature lacks of methods able to prevent zero-day attacks and to mitigate the consequences of infections.

Techniques exploiting AI have been successfully used in many real world applications on a wide spectrum of engineering problems. Looking at the security context, these approaches can also be used to protect the privacy and security of the users of information and communication systems and technologies.

Such techniques can be useful for the verification and mitigation of malicious threats in order and to thoroughly verify security properties. Topics of interest in this areas include: denial of service attacks, forensics, intrusion detection systems, homeland security, critical infrastructures protection, sensitive information leakage, access control and malware detection and tracking.

Thus, AI offers the potential to develop secure systems. From these considerations, the objective of this special session is to encourage the integration between these cyber-security and AI communities towards the development of secure and resistant systems. Topics of interest cover, but are not limited to, application of artificial intelligence techniques relating to:

• Intelligent analysis algorithm for Privacy or Security

• Big data intelligence in security and privacy

• Adversarial Machine Learning approaches

• Deep Learning in security and privacy

• Generative adversarial networks (GANs) for security and privacy

• Data mining and publishing for security and privacy

• Computational intelligence in security and privacy

• Intrusion, anomaly and fraud detection

• Sensitive and intelligent data collection and access

• Secure cloud computing and multi-party computation

• Artificial Intelligence for threat predictions

• Models and predictive analytics in cybersecurity

• Behavioral Analysis, Profiling, Modeling, and Classification

• Artificial Intelligence approaches for intrusion detection

• Artificial Intelligence-based Hazardous Behaviours and Risk Mitigation

• Artificial Intelligence Cyber-disaster management and recovery

• Biometric-behavioral models for user authentication

• Behavioral Analysis for Access and Usage Control