Call for Papers [PDF]
Cloud computing services offer cost effective, scalable, and reliable outsourced platforms. Cloud adoption is becoming rapidly ubiquitous; therefore, private and sensitive data is being moved into the cloud. This move is introducing new security and privacy challenges, which should be diligently addressed in order to avoid severe security repercussions. 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We are soliciting original and unpublished results of ongoing research projects, emerging trends, uses cases, and implementation experiences in autonomous cloud cybersecurity systems and solutions.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
Keynote TalkCloud-centric Assured Information Sharing, Dr. Bhavani Thuraisingham - The University of Texas at Dallas
This presentation will describe our research and development efforts in assured cloud computing for the Air Force Office of Scientific Research. We have developed a secure cloud computing framework as well as multiple secure cloud query processing systems. Our framework uses Hadoop to store and retrieve large numbers of RDF triples by exploiting the cloud computing paradigm and we have developed a scheme to store RDF data in a Hadoop Distributed File System. We implemented XACML-based policy management and integrated it with our query processing strategies. For secure query processing with relational data we utilized the HIVE framework. More recently we have developed strategies for secure storage and query processing in a hybrid cloud. In particular, we have developed algorithms for query processing wherein user's local computing capability is exploited alongside public cloud services to deliver an efficient and secure data management solution. We have also developed techniques for secure virtualization using the XEN hypervisor to host our cloud data managers as well as an RDF-based policy engine hosted on our cloud computing framework.
We have also developed demonstration systems with our European partners: Kings College, University of London and the University of Insubria Italy who are funded by EOARD (The European Office of Aerospace Research and Development). The first demonstration illustrates how information may be shared in our cloud, based on policies specified in XACML. In the second demonstration we have implemented a semantic web-based policy engine and will show how multiple social networks may share information on our cloud utilizing semantic web-based policies.Speaker Biography
Dr. Bhavani Thuraisingham is the Louis A. Beecherl, Jr. Distinguished Professor of Computer Science and the Executive Director of the Cyber Security Research and Education Institute at The University of Texas at Dallas (UTD). She is an elected Fellow of IEEE, the AAAS, the British Computer Society, and the SPDS (Society for Design and Process Science). She received several prestigious award including IEEE Computer Society's 1997 Technical Achievement Award for "outstanding and innovative contributions to secure data management", the 2010 ACM SIGSAC (Association for Computing Machinery, Special Interest Group on Security, Audit and Control) Outstanding Contributions Award for "seminal research contributions and leadership in data and applications security for over 25 years" and the SDPS Transformative Achievement Medal for her contributions to interdisciplinary research.
She has unique experience working in the commercial industry, research laboratory, US government and academia and her 34 year career includes research and development, technology transfer, product development, program management, and consulting for the federal government at Honeywell, MITRE, NSF and UTD. Her work has resulted in 100+ journal articles, 200+ conference papers, 100+ keynote/featured addresses, eight US patents (four pending) and fourteen books. She received the prestigious earned higher doctorate degree (Doctor of Engineering) from the University of Bristol, England for her published research work in secure data management since her PhD.