Abstract
This paper is a systemization of knowledge of autonomic cybersecurity. Disruptive technologies, such as IoT, AI and autonomous systems, are becoming more prevalent and often have little or no cybersecurity protections. This lack of security is contributing to the expanding cybersecurity attack surface. The autonomic computing initiative was started to address the complexity of administering complex computing systems by making them self-managing. Autonomic systems contain attributes to address cyberattacks, such as self-protecting and self-healing that can secure new technologies. There has been a number of research projects on autonomic cybersecurity, with different approaches and target technologies, many of them disruptive. This paper reviews autonomic computing, analyzes research on autonomic cybersecurity, and provides a systemization of knowledge of the research. The paper concludes with identification of gaps in autonomic cybersecurity for future research.
| Original language | English |
|---|---|
| Number of pages | 7 |
| Publication status | Published (in print/issue) - 26 Jul 2021 |
| Event | IEEE Int. Conf. Cyber Security and Resilience - Virtual Duration: 26 Jul 2021 → 28 Jul 2021 https://www.ieee-csr.org/ |
Conference
| Conference | IEEE Int. Conf. Cyber Security and Resilience |
|---|---|
| Abbreviated title | CSR |
| Period | 26/07/21 → 28/07/21 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Autonomic Computing
- Cybersecurity
- Disruptive Technology
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