Recent Trends and Applications of Smart Systems for Cybersecurity

Dear Colleagues,

The cybersphere has significantly contributed to the advancement of science and technology in recent decades. However, the networks that link systems together, the availability of information, the variety of computer technology, and the combination of all these factors put the infrastructures of both the academic and industrial sectors at considerable risk. The potential for additional attacks and attackers is a natural outcome when more attack surfaces are made available, primarily resulting from unauthorized use or access to computerized platforms without the owner's consent. The results of these attacks are virtually always intrusive and disruptive for computerized systems, and they may even be lethal if they target smart medical equipment.

Therefore, it becomes necessary to investigate practical security-based solutions for eliminating these dangers or thwarting the attacks. The application of intelligent technologies, such as intelligent computing (IC) and its sub-domains (like artificial intelligence (AI)), has helped achieve this in recent years. These have offered reliable assistance in various fields, such as identifying cyber risks, evaluating software package risks, and maintaining the security of Internet connections. However, the intricacy of new attacks will be too much for current technology, protocols, and other antiquated countermeasures to handle. Thus, a rapid co-evolution of defenses that match the speed and sophistication of IC-based offensive approaches is necessary because new assault tools and plans can now be generated utilizing several machine- and deep-learning techniques. Nonetheless, if the security and ethical issues are not effectively handled, the adoption of IC in cybersecurity could be hindered or potentially cause serious issues for society. Due to this, there is a significant chance that scientific knowledge may be misused.

Therefore, the shared understanding of the latest cyber defense technology will aid in thwarting malicious users. Additionally, it will produce information on the techniques and tools used by hackers, establish uniform blacklists of suspected services that violate cyber security and privacy rules, and aid in determining whether an enterprise has enough defense resources. Given the significant academic and industrial implications of studying these topics for societally positive outcomes, this Special Issue aims to cover recent findings on theoretical advancements and industrial challenges that combine IC/AI methods with significant cybersecurity issues to underlie the construction of secure systems. Offensive and defensive machine learning security applications might be the subject of research articles.

• The following list includes some potential areas of interest for this Special Issue;
• Artificial intelligence (AI) forensics;
• AI applications for security and privacy;
• AI threat intelligence Intelligent systems for cryptography;
• Intelligent biometrics and watermarking Scalable;
• Intelligent computing (IC) for cloud services and security Security in wireless sensor networks.

Prof. Dr. Asadullah Shaikh
Dr. Jawad Rasheed
Dr. Hani Alshahrani
Prof. Dr. Uffe Kock Wiil
Guest Editors

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• artificial intelligence
• cyber security
• AI threat intelligence
• smart intrusion detection