Self-Improving Autonomic Systems for Antifragile Cyber Defence: Challenges and Opportunities
| Title | Self-Improving Autonomic Systems for Antifragile Cyber Defence: Challenges and Opportunities |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Baruwal Chhetri, Mohan, Uzunov, Anton, Vo, Bao, Nepal, Surya, Kowalczyk, Ryszard |
| Conference Name | 2019 IEEE International Conference on Autonomic Computing (ICAC) |
| Date Published | jun |
| Keywords | Adaptation models, Analytical models, antifragile cyber defence, antifragile systems, antifragility, Automated Response Actions, autonomic cyber defence systems, Autonomic systems, composability, contested military environments, Cyber defence, Data analysis, decision making, desirable property, distributed self-improvement, human computer interaction, human factors, learning, middleware, middleware frameworks, middleware security, policy-based governance, pubcrawl, resilience, Resiliency, security of data, self improvement, self-improving autonomic systems, Stress, Uncertainty, unknown situations |
| Abstract | Antifragile systems enhance their capabilities and become stronger when exposed to adverse conditions, stresses or attacks, making antifragility a desirable property for cyber defence systems that operate in contested military environments. Self-improvement in autonomic systems refers to the improvement of their self-* capabilities, so that they are able to (a) better handle previously known (anticipated) situations, and (b) deal with previously unknown (unanticipated) situations. In this position paper, we present a vision of using self-improvement through learning to achieve antifragility in autonomic cyber defence systems. We first enumerate some of the major challenges associated with realizing distributed self-improvement. We then propose a reference model for middleware frameworks for self-improving autonomic systems and a set of desirable features of such frameworks. |
| DOI | 10.1109/ICAC.2019.00013 |
| Citation Key | baruwal_chhetri_self-improving_2019 |
- desirable property
- unknown situations
- uncertainty
- Stress
- self-improving autonomic systems
- self improvement
- security of data
- resilience
- policy-based governance
- middleware security
- middleware frameworks
- middleware
- learning
- Human Factors
- human computer interaction
- distributed self-improvement
- Automated Response Actions
- Decision Making
- data analysis
- Cyber defence
- contested military environments
- Autonomic systems
- autonomic cyber defence systems
- antifragility
- antifragile systems
- antifragile cyber defence
- Analytical models
- Adaptation models
- pubcrawl
- composability
- Resiliency