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Proceedings - 2011 5th International Conference on Network and System Security, NSS 2011 2011年 113-120页

作者： Ibrahim, Amani S. Hamlyn-Harris, James Grundy, John Almorsy, Mohamed Centre for Computing and Engineering Software Systems Faculty of Information and Communication Technologies Swinburne University of Technology Hawthorn VIC Australia

ISBN: (纸本)9781457704598

The Infrastructure-as-a-Service (IaaS) cloud computing model has become a compelling computing solution with a proven ability to reduce costs and improve resource efficiency. Virtualization has a key role in supporting the IaaS model. However, virtualization also makes it a target for potent rootkits because of the loss of control problem over the hosted Virtual Machines (VMs). This makes traditional in-guest security solutions, relying on operating system kernel trustworthiness, no longer an effective solution to secure the virtual infrastructure of the IaaS model. In this paper, we explore briefly the security problem of the IaaS cloud computing model, and present CloudSec, a new virtualization-aware monitoring appliance that provides active, transparent and real-time security monitoring for hosted VMs in the IaaS model. CloudSec utilizes virtual machine introspection techniques to provide fine-grained inspection of VM's physical memory without installing any monitoring code inside the VM. It actively reconstructs and monitors the dynamically changing kernel data structures instances, as a prior step to enable providing protection for kernel data structures. We have implemented a proof-of-concept prototype using VMsafe libraries on a VMware ESX platform. We have evaluated the system monitoring accuracy and the performance overhead of CloudSec. © 2011 IEEE.

关键词： Virtual machine

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CloudSec: A security monitoring appliance for Virtual Machines in the IaaS cloud model

CloudSec: A security monitoring appliance for Virtual Machin...

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International Conference on Network and System Security, NSS

作者： Amani S. Ibrahim James Hamlyn-Harris John Grundy Mohamed Almorsy Centre for Computing and Engineering Software Systems Faculty of Information & Communication Technologies Swinburne University of Technology Hawthorn VIC Australia

关键词： Kernel Security Monitoring Virtual machine monitors Data structures Semantics Memory management

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Automatic diagram layout support for the Marama meta-toolset

Automatic diagram layout support for the Marama meta-toolset

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IEEE Symposium on Visual Languages and Human Centric computing (VL/HCC)

作者： Pei Shan Yap John Hosking John Grundy Department of Computer Science University of Auckland Auckland New Zealand Centre of Computing and Engineering Software Systems Swinburne University of Technology Melbourne Australia

Automatic layout can be a crucial support feature for complex diagramming tools. Adding suitable layout algorithms to diagramming tools is a complex task and meta-tools should incorporate these for reuse. We present MaramaALM, a generalised set of automatic layout mechanisms. This has been incorporated in the Eclipse-based Marama meta-toolset to support automatic layout in Marama diagrams. It provides an easy-to-use mechanism for tool developers to add such layouts to their generated tools. We describe our motivation for MaramaALM, our approach to its implementation and an example case study of using these tool extensions.

关键词： Layout Visualization Shape Generators Measurement Connectors Algorithm design and analysis

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Using Automated Control Charts for the Runtime Evaluation of QoS Attributes

Using Automated Control Charts for the Runtime Evaluation of...

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IEEE International Symposim on High Assurance systems engineering

作者： Ayman Amin Alan Colman Lars Grunske Centre for Computing & Engineering Software Systems Faculty of Information and Communication Technologies Swinburne University of Technology Hawthorn VIC Australia Department of Computer Science Software Engineering: AG AQUA University of Kaiserslautern Kaiserslautern Germany

As modern software systems operate in a highly dynamic context, they have to adapt their behaviour in response to changes in their operational environment or/and requirements. Triggering adaptation depends on detecting quality of service (QoS) violations by comparing observed QoS values to predefined thresholds. These threshold-based adaptation approaches result in late adaptations as they wait until violations have occurred. This may lead to undesired consequences such as late response to critical events. In this paper we introduce a statistical approach CREQA - Control Charts for the Runtime Evaluation of QoS Attributes. This approach estimates at runtime capability of a system, and then it monitors and provides early detection of any changes in QoS values allowing timely intervention in order to prevent undesired consequences. We validated our approach using a series of experiments and response time datasets from real world web services.

关键词： Quality of service Control charts Web services Monitoring Runtime Time factors Estimation

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Transmission reduction based on order compression of compound aggregate data over wireless sensor networks

Transmission reduction based on order compression of compoun...

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2011 6th International Conference on Pervasive computing and Applications, ICPCA 2011

作者： Yang, Chi Yang, Zhimin Ren, Kaijun Liu, Chang School of Computer Science and Software Engineering University of Western Australia 35 Stirling Highway Crawley WA 6009 Australia Department of Computer Shandong University at Weihai Weihai China College of Computer National University of Defense Technology Changsha Hunan 410073 China CS3-Centre for Complex Software Systems and Services Swinburne University of Technology Melbourne 3122 Australia

ISBN: (纸本)9781457702082

To reduce the energy consumption and maximize the lifetime of the wireless sensor network (WSN), different techniques are developed to reduce the communication over WSN. However, it is also critical to discuss the energy cost problems in computing and maintaining the information of aggregate queries. Currently, some in-network temporal data suppression techniques are developed for more efficiently processing data aggregation queries over WSN. With those techniques, a data source node which sends data only forwards newly collected data with its value changing beyond predefined constants, to a data aggregate node which receives data. Otherwise, an aggregate node can infer the absent data report of a source node from the data history of the same source node. In order to further reduce the data communication, hence the energy consumption of the In-network temporal data suppression techniques, in this paper, a technique which makes use the order relationship of compound sensor data is proposed to compress data size during the In-network prediction. An empirical study is carried out to show the performance gains of the proposed techniques optimized by order compression comparing to the previous In-network prediction technique. © 2011 IEEE.

关键词： Energy utilization

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No-go theorem for one-way quantum computing on naturally occurring two-level systems

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Physical Review A 2011年第5期83卷 050301(R)-050301(R)页

作者： Jianxin Chen Xie Chen Runyao Duan Zhengfeng Ji Bei Zeng Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts USA Centre for Quantum Computation and Intelligent Systems (QCIS) Faculty of Engineering and Information Technology University of Technology Sydney New South Wales Australia Perimeter Institute for Theoretical Physics Waterloo Ontario Canada State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Institute for Quantum Computing and Department of Combinatorics and Optimization University of Waterloo Waterloo Ontario Canada

The ground states of some many-body quantum systems can serve as resource states for the one-way quantum computing model, achieving the full power of quantum computation. Such resource states are found, for example, in spin-52 and spin-32 systems. It is, of course, desirable to have a natural resource state in a spin-12, that is, qubit system. Here, we give a negative answer to this question for frustration-free systems with two-body interactions. In fact, it is shown to be impossible for any genuinely entangled qubit state to be a nondegenerate ground state of any two-body frustration-free Hamiltonian. What is more, we also prove that every spin-12 frustration-free Hamiltonian with two-body interaction always has a ground state that is a product of single- or two-qubit states. In other words, there cannot be any interesting entanglement features in the ground state of such a qubit Hamiltonian.

关键词： QUANTUM computers QUANTUM theory HAMILTONIAN operator HAMILTONIAN systems PHYSICS

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A CSMA-based approach for detecting composite data aggregate events with collaborative sensors in WSN

A CSMA-based approach for detecting composite data aggregate...

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International Conference on Computer Supported Cooperative Work in Design

作者： Yang, Chi Ren, Kaijun Yang, Zhimin Gong, Peng Liu, Chang School of Computer Science and Software Engineering University of Western Australia M002 35 Stirling Highway Crawley WA 6009 Australia College of Computer National University of Defense Technology Changsha Hunan 410073 China Department of Computer Shandong University at Weihai Weihai China Anhui Wenda Information and Technology College Hefei 231201 China CS3-Centre for Complex Software Systems and Services Swinburne University of Technology Melbourne 3122 Australia

ISBN: (纸本)9781457703874

Nowadays, wireless sensor networks are widely used to monitor real time events and answer the ad hoc queries from a certain member node. However, computing and maintaining the information of aggregate queries in event monitoring wireless sensor networks incurs high spatial and temporal overhead for storage and transmission where potentially high volumes of unnecessary data may run through with changing time. Failure of processing that data can lead to unsuccessful event detection which can be very dangerous and costly in real world application. In order to reduce the overhead caused by unnecessary data for aggregate, suppression techniques such as data fusion, data sharing, data prediction, lossless data compression and base station side query rewriting are widely discussed in the WSN research community. In this paper, a technique which makes use of the spatial data relationship of local sensor nodes collaboratively is proposed to rein the detection of composite events with data aggregate. An empirical study is carried out to show the efficiency of the new technique. In addition, the new algorithm is compared to the previous event detection algorithms without spatial data suppression technique to demonstrate the significant performance gains. © 2011 IEEE.

关键词： Chemical detection

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Long term bank failure prediction using Fuzzy Refinement-based Transductive Transfer learning

Long term bank failure prediction using Fuzzy Refinement-bas...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Vahid Behbood Jie Lu Guangquan Zhang Decision Systems & E-Service Intelligence Research Laboratory Centre of Qua ntum Computing and Intelligent System School of Software Faculty of Engineering and Information Technology University of Technology-Sydney Broadway NSW Australia

Machine learning algorithms, which have been considered as robust methods in different computational fields, assume that the training and test data are drawn from the same distribution. This assumption may be violated in many real world applications like bank failure prediction because training and test data may come from different time periods or domains. An efficient novel algorithm known as Fuzzy Refinement (FR) is proposed in this paper to solve this problem and improve the performance. The algorithm utilizes the fuzzy system and similarity concept to modify the instances' labels in target domain which was initially predicted by shift-unaware Fuzzy Neural Network (FNN) proposed by [1]. The experiments are performed using bank failure financial data of United States to evaluate the algorithm performance. The results address a significant improvement in the predictive accuracy of FNN due to applying the proposed algorithm.

关键词： Prediction algorithms Fuzzy neural networks Pragmatics Training Inference algorithms Accuracy Machine learning algorithms

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Transmission reduction based on order compression of compound aggregate data over wireless sensor networks

Transmission reduction based on order compression of compoun...

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International Conference on Pervasive computing and Applications (ICPCA)

作者： Chi Yang Zhimin Yang Kaijun Ren Chang Liu School of Computer SCIence and Software Engineering University of Western Australia Crawley WA Australia Department of Computer Shandong University Weihai China College of Computer National University of Defense Technology Changsha Hunan China CS3-Centre for Complex Software Systems and Services Swinburne University of Technology Melbourne Australia

To reduce the energy consumption and maximize the lifetime of the wireless sensor network (WSN), different techniques are developed to reduce the communication over WSN. However, it is also critical to discuss the energy cost problems in computing and maintaining the information of aggregate queries. Currently, some in-network temporal data suppression techniques are developed for more efficiently processing data aggregation queries over WSN. With those techniques, a data source node which sends data only forwards newly collected data with its value changing beyond predefined constants, ± ε to a data aggregate node which receives data. Otherwise, an aggregate node can infer the absent data report of a source node from the data history of the same source node. In order to further reduce the data communication, hence the energy consumption of the In-network temporal data suppression techniques, in this paper, a technique which makes use the order relationship of compound sensor data is proposed to compress data size during the In-network prediction. An empirical study is carried out to show the performance gains of the proposed techniques optimized by order compression comparing to the previous In-network prediction technique.

关键词： Wireless sensor networks Educational institutions

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A CSMA-based approach for detecting composite data aggregate events with collaborative sensors in WSN

A CSMA-based approach for detecting composite data aggregate...

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International Conference on Computer Supported Cooperative Work in Design

作者： Chi Yang Kaijun Ren Zhimin Yang Peng Gong Chang Liu School of Computer Science and Software Engineering University of Western Australia Crawley WA Australia College of Computer National University of Defense Technology Changsha Hunan China Department of Computer Shandong University Weihai China Anhui Wenda Information and Technology College Hefei Anhui China CS3-Centre of Complex Software Systems and Services Swinburne University of Technology Melbourne Australia

关键词： Aggregates Event detection Peer to peer computing Sensor phenomena and characterization Monitoring

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