Benefits of the cloud have been widely publicised. Cloud computing services offer cost effective, scalable, and reliable outsourced platforms. To benefit from economies of scale, cloud architectures are homogenized to use only a small variety of applications and operating systems. As a result, because of the size of the Cloud, the implications for discovery of vulnerabilities are high. Security is often cited as a main challenges facing cloud computing. The focus of this workshop is to offer a discussion forum about autonomous cybersecurity systems, which offer viable and well-suited solutions for cloud threat prediction, detection, mitigation, and prevention.

We are soliciting original and unpublished results of ongoing research projects, emerging trends, uses cases, and implementation experiences in autonomous cloud cybersecurity systems and solutions.

The topics covered include, but are not limited to:

- Self-protection techniques of computing systems, networks and applications
- Performance evaluation and metrics of self-protection algorithms
- Metrics to characterize and quantify the cybersecurity algorithms (confidentiality, integrity, and availability of autonomic systems)
- Anomaly behavior analysis and discovery of autonomic systems and services
- Data mining, stochastic analysis and prediction of autonomic systems and applications
- Datasets and benchmarks to compare and evaluate different self-protection techniques
- Autonomic prediction of cyber crime
- Cloud cryptographic systems
- Autonomous cyber threat mitigation methods
- Cloud security protocols
- Automated cloud security analysis
- Cloud cybersecurity tools