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Monthly Archives: October 2014

IEEE Computer: Managing Trust in the Cloud: State-of-the-Art and Research Challenges

Managing Trust in the Cloud: State-of-the-Art and Research Challengez. Talal H. Noor, Quan Z. Sheng, Sherali Zeadally, and Zakaria Maamar. IEEE Computer, 2014. (to appear).

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ARC LIEF Grant for Software Defined Networking

Dr Nick Falkner is part of a team from eight universities and the CSIRO that have been awarded a $270,000 grant under the Australian Research Council’s Linkage Infrastructure, Equipment and Facilities scheme. The grant will provide the facilities required to support research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN […]

Posted in Networks, Research | Tagged |

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IEEE Antennas and Wireless Propagation Letters: Paired Snap-On Buttons Connections for Balanced Antennas in Wearable Systems

A pair of commercial snap-on buttons is demonstrated as a detachable radio-frequency (RF) balanced connection between a garment-integrated textile dipole antenna and a passive sensor-enabled radio-frequency identification (RFID) tag in a wearable wireless system. This arrangement offers reliable, low-cost and easily detachable RF coupling and feeding connections for balanced antennas, as conceptualized in simulations and […]

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Winter Simulation 2014: Understanding Complex Systems: Using Interaction as a Measure of Emergence

Understanding the behavior of complex systems is becoming a crucial issue as systems grow in size, and the interconnection and geographical distribution of their components diversifies. The interaction over time of many components often leads to emergent behavior, which can be harmful to the system. Despite this, very few practical approaches for the identification of […]

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ARC Discovery Grant: Protecting Sensitive Information

Professor Hong Shen has been awarded a prestigious ARC Discovery Project grant. The grant provides $340,300 over the next 3 years to support the following project: Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly […]

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