About this Research Topic
The current dynamic innovation, research, and development in the fields of Artificial Intelligence (AI), Ultra-Smart Computation, Applied Mathematics, Modeling and Simulation, and Fast Internet, promote the creation of Automated Ultra Smart Cyberspace, which opens a new horizon of opportunities for government, business, academia, and industry worldwide. The ubiquitous and pervasive nature of fast Internet access and computer systems interconnectivity 24/7 opens a Pandora's Box for future more sophisticated and damaging cyber threats capable of destroying most critical sectors in national business, industry, and government. To protect Business, Industry, and Government integrity, the application of Artificial Intelligence has become an essential tool in providing effective and real-time cybersecurity solutions capable of detecting and preventing any cyber-attack 24/7.
The main goal of this article collection is to attract subject-related papers that tackle the current state-of-the-art and future directions in research, innovation, and development of the most effective Cyber Security solutions, capable of detecting and preventing the most sophisticated cyber-attacks 24/7. The use of factor with multi-factor analytics (FA) applied in predictive modeling methods may bring to light effective real-time weights reallocation of collected data, while establishing the relevant probability models. The application of AI contributes to fast and effective mitigation and recognition of cyber threats. The research topic promotes multidisciplinary research while bringing together computer scientists and engineers side by side with applied mathematics, information systems, and related engineering and social sciences.
The scope of this Research Topic focuses on Cyber Security, Malware Detection and Prevention Mechanisms, Software and Hardware Security, the IoT and Critical Cyber Infrastructures Security, as well as the Human Factor and Social dimension of Cyber Security.
The incorporation of AI and Machine Learning mechanisms in cybersecurity contributes well to much faster detection and response enabling real-time analysis of large volumes of data. The current application of AI and Machine Learning provides effective protection of an organization’s infrastructure. The AI-driven Cybersecurity tools create defensive mechanisms for the organization’s macro and micro levels.
The contributions should focus on cyber-threats triggered by Ransomware, Zero-day Exploits, Business Email Compromise (BEC), Cyberwar, Cybercriminals, Applied Mathematical Tools, Modeling Simulation, and state-sponsored threat actors. The Research Topic invites scholastic contributions from Faculty and graduate researchers, as well as industrial and business practitioners working in the field of Cyber Security, AI, Computing, and Applied Mathematics.
The main goal of this article collection is to attract subject-related papers that tackle the current state-of-the-art and future directions in research, innovation, and development of the most effective Cyber Security solutions, capable of detecting and preventing the most sophisticated cyber-attacks 24/7. The use of factor with multi-factor analytics (FA) applied in predictive modeling methods may bring to light effective real-time weights reallocation of collected data, while establishing the relevant probability models. The application of AI contributes to fast and effective mitigation and recognition of cyber threats. The research topic promotes multidisciplinary research while bringing together computer scientists and engineers side by side with applied mathematics, information systems, and related engineering and social sciences.
The scope of this Research Topic focuses on Cyber Security, Malware Detection and Prevention Mechanisms, Software and Hardware Security, the IoT and Critical Cyber Infrastructures Security, as well as the Human Factor and Social dimension of Cyber Security.
The incorporation of AI and Machine Learning mechanisms in cybersecurity contributes well to much faster detection and response enabling real-time analysis of large volumes of data. The current application of AI and Machine Learning provides effective protection of an organization’s infrastructure. The AI-driven Cybersecurity tools create defensive mechanisms for the organization’s macro and micro levels.
The contributions should focus on cyber-threats triggered by Ransomware, Zero-day Exploits, Business Email Compromise (BEC), Cyberwar, Cybercriminals, Applied Mathematical Tools, Modeling Simulation, and state-sponsored threat actors. The Research Topic invites scholastic contributions from Faculty and graduate researchers, as well as industrial and business practitioners working in the field of Cyber Security, AI, Computing, and Applied Mathematics.
Keywords: Cyber Security, AI, Computing, Internet, Software, Mathematical modeling, Simulation tools
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
