Special Issue "Cyber Resilience"
Deadline for manuscript submissions: closed (1 May 2021).
Modern cyber systems, especially those based on the technologies of Industry 4.0 (Artiﬁcial Intelligence (AI), cloud and fog computing, 6G, IoT/IIoT, Big Data and ETL, Q-computing, Blockchain, VR/AR, and others) do not have the required cyber resilience for targeted operation under conditions of heterogeneous mass cyberattacks due to the high structural and functional complexity of these systems, a potential danger of existing vulnerabilities, and “sleep” hardware and software tabs, the so-called “digital bombs”. Moreover, modern cyber security tools, including antivirus protection, vulnerability scanners, as well as systems for detecting, preventing, and neutralizing computer attacks, are still not sufﬁciently effective. The applied classical methods and means of ensuring reliability, response, and recovery using the capabilities of structural and functional redundancy, N-multiple reservation, standardization, and reconﬁguration are no longer suitable as they do not provide the required cyber resilience or prevent catastrophic consequences.
The above pose a problematic situation that lies in the contradiction between the ever-increasing need to ensure cyber resilience of critical information infrastructure under the conditions of destructive software impacts and the imperfection of methods and means of timely detection, prevention, and neutralization of cyberattacks. The removal of this contradiction requires the resolution of an urgent scientiﬁc and technical problem—the organization of cyber resilience of information infrastructure in terms of heterogeneous mass cyberattacks, based on new models and methods of similarity theory, big data collection and processing and stream data extraction, transfer, and load (ETL), deep learning, and semantic and cognitive analysis.
Problems of ensuring reliability, response, recovery, and cyber resilience of critical information infrastructure and related information have received the attention of leading foreign and domestic scientific researchers from the start. However, in the conditions of heterogeneous mass cyberattacks (especially previously unknown ones), it is necessary to ensure cyber resilience critical information infrastructure, providing that the process of restoring the functioning of its component systems, in the course of destructive programmatic impacts, helps towards a reduction of signiﬁcant or catastrophic consequences. The main idea behind this solution to the problem is using the abovementioned infrastructure’s ability to produce immunity to disturbances of the computational processes under exposure conditions, similarly to the immune system protecting a living organism. This requires the resolution of a scientiﬁc problem—the organization of cyber resilience information infrastructure in the context of heterogeneous mass cyberattacks, based on new models and methods of the similarity theory, big data collection and processing (ETL), deep learning, and semantic and cognitive analysis. The main goal is to provide the required level of cyber resilience of the aforementioned systems under the conditions of both known and previously unknown destructive program actions.
Prof. Dr. Sergei A. Petrenko
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- Cyber systems of 4.0 Industry
- Cyber resilience management concept
- Quantitative metrics and cyber resistance measures
- Cyber resiliency engineering framework
- Business continuity management