NaBIC 2015 - 7th World Congress on Nature and Biologically Inspired Computing

Enterprise security is the key to achieving global information security in business and organizations. Cloud computing is a new paradigm for enterprise where businesses need to be secured. However, this new trend needs to be more systematic with respect to cloud security, which is a factor in sustaining cloud technology by building-in trust. For example, current challenges with cyber security and application security flaws are highlighting important lessons to be learned and also lead to the adoption of best practices. Similarly, as the demand for cloud services increases, the importance of security and privacy will also increase.
One solution is to develop a framework for enterprise security to analyze and model organizational security of the cloud and its data. In particular, cloud data and cloud storage technologies (Amazon s3, drop box, Google drive, etc.) have now become normal practice for almost every computing user. This can explain why building trust for cloud users is one of the main focuses of cloud computing research. On the other hand, the social, human and business aspects of enterprise security are essential to users to keep their skills, business concepts and policies up-to-date. By maintaining all these aspects of security, organizations can develop an enterprise security solution to work together with business models, such as cloud provider enterprise model and cloud consumer enterprise model. In this way, enterprise security can address technical and organizational aspects of security to provide added value and win-win situations for users, adopters and service providers. Following the successful delivery of our workshop in 2014, we oversee the importance of enterprise security as a unique and rising field to ensure all aspects of security and risks can be identified, surveyed, tested, prototyped and minimized with recommendations and lessons learned disseminated.
By blending technical and organizational aspects of security, our workshop can provide a platform for intellectual discussions and interactions. To highlight the significance of enterprise security and disseminate research contributions in cloud community, we welcome papers addressing technical (implementations, algorithms, experiments, simulation, modeling and prototypes) and organizational (information system related issues, recommendation and best practices, frameworks, risks) issues. We offer the best paper awards and winners will be invited to contribute to high-quality journals.
Topics:
Algorithms, software engineering and development
System design and implementation
Testing (software engineering; penetration; product development)
Encryption (all aspects)
Firewall, access control, identity management
Experiments of using security solutions and proof-of-concepts
Large-scale simulations in the Cloud, Big Data and Internet of Things
Intrusion and detection techniques
Social engineering and ethical hacking: techniques and case studies
Risk Modeling, business process modeling and analytics
Trust and privacy
Data security, data recovery, disaster recovery
Data center management
Adoption challenges and recommendation
Risk management and control
Business and economic models
Change management and continuous service improvement
Information systems related issues
Conceptual frameworks and models
Emerging issues and recommendations for organizational security
E-Commerce and online banking
Social network analysis, emerging issues in social networks
Education and e-Learning
Surveys and their quantitative analysis
Architecture (technical or organizational)
Case studies
The focus of this workshop is to present new techniques, demonstrations, innovative approaches and case studies related to Enterprise Security. The impacts of research contributions are as follows.
- Explain how to implement enterprise security and their added values.
- Demonstrate how enterprise security can be used in different case studies.
- Describe how to resolve challenges in each adoption scenario.
- Provide reproducible steps for anyone to follow, and support reproducibility, an important aspect in Cloud Computing science.
- Explain how their Cloud services can work effectively in production and real-time
- Present how their services can make contributions to users involved in the use of Cloud services and adoption.
- Sum up and disseminate all the lessons learned and recommendation to play an influential role in academia and industry.
Detailed Schedule
TBD
The workshop chairs (Biographies at the end of the proposal):
Main chair:
Dr. Victor Chang, Leeds Beckett University, UK
Co-chairs:
Dr. Muthu Ramachandran, Leeds Beckett University, UK
Mr. Mario Hoffmann, Fraunhofer Institute for Applied and Integrated Security (AISEC), Germany
Dr. Gary Wills, University of Southampton, UK
Dr. Robert John Walters, University of Southampton, UK
Dr. Neil N. Yen, University of Aizu, Japan
Prof. Laurence T. Yang, St. Francis Xavier University, Canada
Dr. Chung-Sheng Li, IBM, US
Prof. Wendy Currie, Audencia Nantes, France
Preliminary Program Committee:
Omar Abdul-Rahman, National Institute of Informatics, Japan
Saad Alahmari, Princess Noura Bint Abdulrahman University, Saudi Arabia
Naif Aljohani, King Abdulaziz University, Saudi Arabia
Mitra Arami, American University of Middle East, Kuwait
Khin Mi Mi Aung, Agency for Science, Technology and Research (A*STAR), Data Storage Institute, Singapore
Reinhold Behringer, Leeds Beckett University, United Kingdom
Tony Bryant, Leeds Beckett University, United Kingdom
K Chandrasekaran, National Institute of Technology Karnataka, India, India
Tzu-chun Chen, TU Darmstadt, Germany
Darren Chong, Singapore, Singapore
Lee Gillam, University of Surrey , United Kingdom
Takahiro Hirofuchi, National Institute of Advanced Industrial Science and Technology, Japan
Guy-Bertrand Kamga, Alcatel-Lucent, France
Ryan Ko, University of Waikato, New Zealand
Natalia Kushik, Tomsk State University, Russian Federation
Mohamed Mohamed, Institut Mines-Telecom Telecom SudParis Evry, France
Siani Pearson, HP Labs, Bristol, United Kingdom
Muthu Ramachandran, Leeds Beckett University, United Kingdom
Shuqin Ren, Data Storage Institute, Singapore
Z. Cliffe Schreuders, Leeds Beckett University, United Kingdom
Jose Simao, Instituto Superior de Engenharia de Lisboa, Portugal
Luís Veiga, Inesc-id / Ist, Portugal
Yun Wan, University of Houston, United States
Tomasz Wiktor Wlodarczyk, University of Stavanger, Norway
Fan Zhang, MIT, United States