Artificial Intelligence-Based Approaches for Future Cybersecurity Applications and Crime Detection

Dear Colleagues,

Although in recent years, investments and efforts in finding and implementing new cybersecurity solutions have been increasing, companies, organizations, and private citizens are still victims of cyber-attacks. With the still ongoing pandemic, the process of migration of information toward the digital domain has sped up even more. Furthermore, the imposition of the IoT and cloud computing has enlarged the attack surface for malicious people, thus making it necessary to design and develop new countermeasures against potential risks and attacks.

Artificial intelligence is the ability of a machine to implement human capabilities such as reasoning, learning, planning, and creativity, thus allowing systems to understand their environment, relate to what they perceive, and to solve problems, acting towards a specific goal. Its employment, centered on classification models, is to exploit algorithms and data analysis techniques providing more efficient and performing solutions than traditional ones. Machine learning is deeply involved in these new techniques, which are adopted for the study of phenomena in several application domains, such as finance, healthcare, dependability, cybersecurity, network analysis, crime detection, and so on. In this context, we aim to deepen and promote the dissemination and exchange of novel theories, designs, applications based on artificial intelligence, as well as ongoing results among researchers and practitioners related to various cybersecurity perspectives.

This Special Issue will investigate several topics under the artificial intelligence for novel cybersecurity applications umbrella and welcomes paper submissions providing innovative research as well as technical contributions that foster the creation of a new value chain within this research field.

Dr. Andrea Tundis
Dr. Lorenzo Musarella
Guest Editors

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