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Scada Security - Slowly Circling A Disaster Area, Craig Valli, Andrew Woodward Jan 2009

Scada Security - Slowly Circling A Disaster Area, Craig Valli, Andrew Woodward

Research outputs pre 2011

SCADA (Supervisory Control And Data Acquisition) networks control much of the industrialised nations production and supply complexes. Various government reports and investigations have highlighted the vulnerability of these systems. Many of these systems are on private networks which are increasingly being connected to systems that are accessible from other networks such as the Internet. SCADA systems have unique security and operational requirements. However, many of the most basic security measures are missing in these networks. This examines some of these issues and proposes some technologies that could help secure these networks from attack.


Scada Forensics With Snort Ids, Craig Valli Jan 2009

Scada Forensics With Snort Ids, Craig Valli

Research outputs pre 2011

This paper is a research in progress paper outlining an approach using open source IDS (Snort) and honeypot (nepenthes, honeyd) technologies to create a resilient layered defensive approach for SCADA and control systems networks.


Ballistics Image Processing And Analysis For Firearm Identification, Dongguang Li Jan 2009

Ballistics Image Processing And Analysis For Firearm Identification, Dongguang Li

Research outputs pre 2011

Firearm identification is an intensive and time-consuming process that requires physical interpretation of forensic ballistics evidence. Especially as the level of violent crime involving firearms escalates, the number of firearms to be identified accumulates dramatically. The demand for an automatic firearm identification system arises. This chapter proposes a new, analytic system for automatic firearm identification based on the cartridge and projectile specimens. Not only do we present an approach for capturing and storing the surface image of the spent projectiles at high resolution using line-scan imaging technique for the projectiles database, but we also present a novel and effective FFT-based …


A Max-Min Multiobjective Technique To Optimize Model Based Test Suite, Usman Farooq, Chiou P. Lam Jan 2009

A Max-Min Multiobjective Technique To Optimize Model Based Test Suite, Usman Farooq, Chiou P. Lam

Research outputs pre 2011

Generally, quality software production seeks timely delivery with higher productivity at lower cost. Redundancy in a test suite raises the execution cost and wastes scarce project resources. In model-based testing, the testing process starts with earlier software developmental phases and enables fault detection in earlier phases. The redundancy in the test suites generated from models can be detected earlier as well and removed prior to its execution. The paper presents a novel max-min multiobjective technique incorporated into a test suite optimization framework to find a better trade-off between the intrinsically conflicting goals. For illustration two objectives i.e. coverage and size …


Evolving The Quality Of A Model-Based Test Suite, Usman Farooq, Chiou P. Lam Jan 2009

Evolving The Quality Of A Model-Based Test Suite, Usman Farooq, Chiou P. Lam

Research outputs pre 2011

Redundant test cases in newly generated test suites often remain undetected until execution and waste scarce project resources. In model-based testing, the testing process starts early on in the developmental phases and enables early fault detection. The redundancy in the test suites generated from models can be detected earlier as well and removed prior to its execution. The article presents a novel model-based test suite optimization technique involving UML activity diagrams by formulating the test suite optimization problem as an Equality Knapsack Problem. The aim here is the development of a test suite optimization framework that could optimize the model-based …


Iterated Prisoner's Dilemma For Species, Philip Hingston Jan 2009

Iterated Prisoner's Dilemma For Species, Philip Hingston

Research outputs pre 2011

The Iterated Prisoner's Dilemma (IPD) is widely used to study the evolution of cooperation between self-interested agents. Existing work asks how genes that code for cooperation arise and spread through a single-species population of IPD playing agents. In this paper, we focus on competition between different species of agents. Making this distinction allows us to separate and examine macroevolutionary phenomena. We illustrate with some species-level simulation experiments with agents that use well-known strategies, and with species of agents that use team strategies.


Environmental Education In Small Business: The Owner-Manager's Perspective, Janice Redmond, Elizabeth Walker Jan 2009

Environmental Education In Small Business: The Owner-Manager's Perspective, Janice Redmond, Elizabeth Walker

Research outputs pre 2011

Traditionally, environmental education has been aimed at the community or in primary schools and governmental pressure to reduce environmental damage has focussed on large businesses. More recently, the role and importance of small business and how to engage them in the environmental debate has come under scrutiny. Researchers have identified education as one method of increasing the understanding of small business owner-managers’ role and knowledge of practices that, when implemented, will reduce the negative impacts of their businesses. However, there is little attention given in the literature to the perspective of the small business owner-manager and environmental education. This research …


Visualisation Of Honeypot Data Using Graphviz And Afterglow, Craig Valli Jan 2009

Visualisation Of Honeypot Data Using Graphviz And Afterglow, Craig Valli

Research outputs pre 2011

This research in progress paper explores the use of Graphviz and Afterglow for the analysis of data emanating from a honeypot system. Honeypot systems gather a wide range of data that is often difficult to readily search for patterns and trends using conventional log file analysis techniques. The data from the honeypots has been statically extracted and processed through Afterglow scripts to produce inputs suitable for use by the DOT graph based tools contained within Graphviz. This paper explores some of the benefits and drawbacks of currently using this type of approach.


Raising Heart Rate With Dance Pad Based Computer Games, Martin Masek, Philip Hingston, Matthew Carrigy, Liam Collins, Kazunori Nosaka Jan 2009

Raising Heart Rate With Dance Pad Based Computer Games, Martin Masek, Philip Hingston, Matthew Carrigy, Liam Collins, Kazunori Nosaka

Research outputs pre 2011

No abstract provided.


Morphology Independent Dynamic Locomotion Control For Virtual Characters, Adrian Boeing Jan 2008

Morphology Independent Dynamic Locomotion Control For Virtual Characters, Adrian Boeing

Research outputs pre 2011

Physically based animation of virtual characters is an attractive technology for computer games. It enables characters to dynamically react to interactions with the environment. Existing dynamic simulation controllers are often complex to understand and manipulate, and so are of limited use for animators. This paper presents an extended spline-based control strategy similar to splines used in standard keyframe animation techniques. Unlike existing dynamic control strategies, this allows animators to modify the control system parameters in a manner similar to traditional kinematic animation techniques. A genetic algorithm is employed to produce the initial control parameters for the desired gait, and extend …


The 2007 Analysis Of Information Remaining On Disks Offered For Sale On The Second Hand Market, Andrew Jones, Craig Valli, Glenn Dardick, Iain Sutherland Jan 2008

The 2007 Analysis Of Information Remaining On Disks Offered For Sale On The Second Hand Market, Andrew Jones, Craig Valli, Glenn Dardick, Iain Sutherland

Research outputs pre 2011

All organisations, whether in the public or private sector, increasingly use computers and other devices that contain computer hard disks for the storage and processing of information relating to their business, their employees or their customers. Individual home users also increasingly use computers and other devices containing computer hard disks for the storage and processing of information relating to their private, personal affairs. It continues to be clear that the majority of organisations and individual home users still remain ignorant or misinformed of the volume and type of information that is stored on the hard disks that these devices contain …


Small And Medium Enterprises And The Environment: Barriers, Drivers, Innovation And Best Practice: A Review Of The Literature, Beth Walker, Janice Redmond, Lynnaire Sheridan, Calvin Wang, Ute Goeft Jan 2008

Small And Medium Enterprises And The Environment: Barriers, Drivers, Innovation And Best Practice: A Review Of The Literature, Beth Walker, Janice Redmond, Lynnaire Sheridan, Calvin Wang, Ute Goeft

Research outputs pre 2011

Small and medium enterprises are the largest business sector in every economy in the world 1, and generate the majority (up to 60%) of global economic output2. In the Australian context, a small business or enterprise is one that employs up to 20 staff while a small and medium sized enterprise (an SME) is a business that employs up to 200 staff. By this definition, more than 99% of all actively trading businesses (more than 1.95 million enterprises) in Australia are SMEs3 . There is a growing body of research supporting the need for SMEs to become engaged in the …


A Type Of Variation Of Hamilton Path Problem With Applications, Jitian Xiao, Jun Wang Jan 2008

A Type Of Variation Of Hamilton Path Problem With Applications, Jitian Xiao, Jun Wang

Research outputs pre 2011

This paper describes a type of variation of the Hamilton path problem that can be applied to a type of applications. Unlike the original Hamilton path problem, the variation always has a solution. The problem of finding solutions to the variation of the Hamilton path problem is NP-complete. A heuristic for finding solutions to the problem is developed and analyzed. The heuristic is then applied to a real application scenario in the area of spatial cluster scheduling in spatial join processing. Experiments have demonstrated that the proposed method generates better cluster sequence than existing algorithms.


A Novel Wide-Angle Laser Triangulation Method For Obstacle Detection, Kaveh Sahba, Kamal Alameh, Clifton Smith Jan 2008

A Novel Wide-Angle Laser Triangulation Method For Obstacle Detection, Kaveh Sahba, Kamal Alameh, Clifton Smith

Research outputs pre 2011

Indoor active triangulation to laser spots generated by quasi-cylindrical cavity is demonstrated. Principal ray trajectory is modeled using a system of linear equations and fundamental ray geometry. Each ray’s unique outgoing angle and baseline is calculated and used to derive the range to the corresponding spot. Above 98% accuracy is achieved over an approximate range of 5m, demonstrating a novel motionless laser scanning technique with a wide scanned angle and no moving parts.


The Use Of Neural Networks In The Prediction Of The Stock Exchange Of Thailand (Set) Index, Suchira Chaigusin, Chaiyaporn Chirathamjaree, Judith Clayden Jan 2008

The Use Of Neural Networks In The Prediction Of The Stock Exchange Of Thailand (Set) Index, Suchira Chaigusin, Chaiyaporn Chirathamjaree, Judith Clayden

Research outputs pre 2011

Prediction of stock prices is an issue of interest to financial markets. Many prediction techniques have been reported in stock forecasting. Neural networks are viewed as one of the more suitable techniques. In this study, an experiment on the forecasting of the Stock Exchange of Thailand (SET) was conducted by using feedforward backpropagation neural networks. In the experiment, many combinations of parameters were investigated to identify the right set of parameters for the neural network models in the forecasting of SET. Several global and local factors influencing the Thai stock market were used in developing the models, including the Dow …


Fast Evaluation Of The Square Root And Other Nonlinear Functions In Fpga, Stefan Lachowicz, Hans-Joerg Pfleiderer Jan 2008

Fast Evaluation Of The Square Root And Other Nonlinear Functions In Fpga, Stefan Lachowicz, Hans-Joerg Pfleiderer

Research outputs pre 2011

The paper presents a novel method of evaluating the square root function in FPGA. The method uses a linear approximation subsystem with a reduced size of a look-up table. The reduction in the size of the lookup table is twofold. Firstly, a simple linear approximation subsystem uses the lookup table only for the node points. Secondly, a concept of a variable step look-up table is introduced, where the node points are not uniformly spaced, but the spacing is determined by how close to the linear function the approximated function is. The proposed method of evaluating nonlinear function and specifically the …


Creating A Web-Based Knowledge-Building Team: Design Of Tasks, Scaffolds And Social Affordances, Catherine Mcloughlin, Joseph Luca Jan 2008

Creating A Web-Based Knowledge-Building Team: Design Of Tasks, Scaffolds And Social Affordances, Catherine Mcloughlin, Joseph Luca

Research outputs pre 2011

In a blended learning environment, where students undertake professional skills development in the workplace, a flexible environment is designed in order to support problem solving in project management. The design of the environment, informed by socio-cultural theory, was intended to support knowledge building among students, and in particular to support exchange of ideas, peer review and commentary on solutions presented to problems, and a reflective space for exchange of ideas. The online environment incorporates a number of functional affordances that scaffold knowledge exchange, collaborative tasks and peer commentary. The design features of the online site are described and a proposed …


A Tunable Multiwavelength Laser Employing A Semiconductor Optical Amplifier And An Opto-Vlsi Processor, Muhsen Aljada, Kamal Alameh, Yong T. Lee Jan 2008

A Tunable Multiwavelength Laser Employing A Semiconductor Optical Amplifier And An Opto-Vlsi Processor, Muhsen Aljada, Kamal Alameh, Yong T. Lee

Research outputs pre 2011

We propose and experimentally demonstrate a stable tunable multiwavelength laser employing a semiconductor optical amplifier (SOA) in conjunction with an opto-very-large-scale-integration (VLSI) processor. By uploading digital phase holograms onto the opto-VLSI processor, the amplified spontaneous emission of the SOA is arbitrarily sliced and injected back into the SOA to generate multiple lasing wavelengths with a linewidth of 0.5 nm. Experimental results demonstrate a tunable multiwavelength laser with a tuning range from 1528 to 1533 nm with power fluctuations of less than 0.5 dB.


A Study Into The Forensic Recoverability Of Data From 2nd Hand Blackberry Devices: World-Class Security, Foiled By Humans, Craig Valli, Andrew Jones Jan 2008

A Study Into The Forensic Recoverability Of Data From 2nd Hand Blackberry Devices: World-Class Security, Foiled By Humans, Craig Valli, Andrew Jones

Research outputs pre 2011

Blackberry RIM devices are arguably one of the more secure platforms for email, calendaring and voice. It is one of the few devices in this arena that has approval for carrying restricted security classifications. Blackberry devices do suffer from the same basic fundamental flaw in that they have a human operator. This research was about the blind purchase of Blackberry devices from auctions. Of the 15 Blackberry examined in this study 3 were able to be fully recovered. They all revealed personal and corporate details about the users of the devices.


Tunable True-Time Delay Unit Based On Opto-Vlsi Processing, Feng Xiao, Budi Juswardy, Kamal Alameh Jan 2008

Tunable True-Time Delay Unit Based On Opto-Vlsi Processing, Feng Xiao, Budi Juswardy, Kamal Alameh

Research outputs pre 2011

A novel tunable true-time delay unit is proposed and demonstrated. The unit is based on the use of an Opto-VLSI processor that dynamically selects a single waveband or multiple wavebands from an RF-modulated broadband optical signal and routes them to a high-dispersion fiber for arbitrary time delay synthesis. Experimental results demonstrate continuously tunable time delay of up to 4 ns.


Opto-Vlsi-Based Reconfigurable Microwave Photonic Transversal Filter With Positive And Negative Coefficients, Feng Xiao, Budi Juswardy, Kamal Alameh Jan 2008

Opto-Vlsi-Based Reconfigurable Microwave Photonic Transversal Filter With Positive And Negative Coefficients, Feng Xiao, Budi Juswardy, Kamal Alameh

Research outputs pre 2011

A novel reconfigurable microwave photonic filter structure with positive and negative coefficients is proposed and demonstrated. The filter structure comprises two arrayed waveguide gratings, a custom-made fiber array, high-dispersion fibres, and a reconfigurable opto-VLSI processor. Positive and negative filter weights can flexibly be synthesised to realise arbitrary transfer functions. Experimental results are presented, which demonstrate the principle of the proposed filter structure.


An Intelligent Model To Control Preemption Rate Of Instantaneous Request Calls In Networks With Book-Ahead Reservation, Iftekhar Ahmad, Joarder Kamruzzaman, Daryoush Habibi, Farzana Islam Jan 2008

An Intelligent Model To Control Preemption Rate Of Instantaneous Request Calls In Networks With Book-Ahead Reservation, Iftekhar Ahmad, Joarder Kamruzzaman, Daryoush Habibi, Farzana Islam

Research outputs pre 2011

Resource sharing between book-ahead (BA) and instantaneous request (IR) reservation often results in high preemption rate of on-going IR calls. High IR call preemption rate causes interruption to service continuity which is considered as detrimental in a QoS-enabled network. A number of call admission control models have been proposed in literature to reduce the preemption rate of on-going IR calls. Many of these models use a tuning parameter to achieve certain level of preemption rate. This paper presents an artificial neural network (ANN) model to dynamically control the preemption rate of on-going calls in a QoS-enabled network. The model maps …


Realized Volatility Uncertainty, David E. Allen, Michael Mcaleer, Marcel Scharth Jan 2008

Realized Volatility Uncertainty, David E. Allen, Michael Mcaleer, Marcel Scharth

Research outputs pre 2011

The presence of high and time-varying volatility of volatility and leverage effects bring additional uncertainty in the tails of the distribution of asset returns, even though returns standardized by (ex-post) quadratic variation measures are nearly gaussian. We argue that in this setting modeling shocks to volatility is more relevant for applications than extracting more precise predictions of the variable, as point forecasts differences are swamped by the size of the volatility of volatility and rendered less informative by the nongaussianity in the ex-ante distribution of returns. Using S&P 500 data, we document that this volatility of volatility is subject to …


The Third Generation Acd Model : A Semiparametric Approach, Pipat Wongsaart, Jiti Gao, David E. Allen Jan 2008

The Third Generation Acd Model : A Semiparametric Approach, Pipat Wongsaart, Jiti Gao, David E. Allen

Research outputs pre 2011

Having concluded that thus far the question about the most appropriate type of nonlinear ACD model has not been satisfactorily answered, we intend to develop a novel ACD modelling methodology based on an iterative estimation algorithm and a semiparametric autoregressive process that not only allows the data to speak for itself, but also is robust across datasets without relying on some computational factors, such as the hypothesis about the probability density function of the standardised durations. We propose in this paper the Semiparametric ACD (SP-ACD) model, which can be considered a starting point of such a development. To address the …


Bots Trained To Play Like A Human Are More Fun, Bhuman Soni, Philip Hingston Jan 2008

Bots Trained To Play Like A Human Are More Fun, Bhuman Soni, Philip Hingston

Research outputs pre 2011

Computational intelligence methods are well-suited for use in computer controlled opponents for video games. In many other applications of these methods, the aim is to simulate near-optimal intelligent behaviour. But in video games, the aim is to provide interesting opponents for human players, not optimal ones. In this study, we trained neural network-based computer controlled opponents to play like a human in a popular first-person shooter. We then had gamers play-test these opponents as well as a hand-coded opponent, and surveyed them to find out which opponents they enjoyed more. Our results show that the neural network-based opponents were clearly …


Using Neat For Continuous Adaptation And Teamwork Formation In Pacman, Markus Wittkamp, Luigi Barone, Philip Hingston Jan 2008

Using Neat For Continuous Adaptation And Teamwork Formation In Pacman, Markus Wittkamp, Luigi Barone, Philip Hingston

Research outputs pre 2011

Despite games often being used as a testbed for new computational intelligence techniques, the majority of artificial intelligence in commercial games is scripted. This means that the computer agents are non-adaptive and often inherently exploitable because of it. In this paper, we describe a learning system designed for team strategy development in a real time multi-agent domain. We test our system in the game of Pacman, evolving adaptive strategies for the ghosts in simulated real time against a competent Pacman player. Our agents (the ghosts) are controlled by neural networks, whose weights and structure are incrementally evolved via an implementation …


Integrated True-Time Delay Unit For Broadband Inteference Nulling In Phased-Array Antenna, Budi Juswardy, Kamal Alameh Jan 2008

Integrated True-Time Delay Unit For Broadband Inteference Nulling In Phased-Array Antenna, Budi Juswardy, Kamal Alameh

Research outputs pre 2011

This paper discusses an integrated true-time delay generation unit based on microminiaturisation of photonic and electronic components. The design, simulation, and performance of important building blocks for implementing a true-time delay-based phased-array antenna are presented.


Tunable Photonic Rf Signal Processor Using Opto-Vlsi, Budi Juswardy, Feng Xiao, Kamal Alameh Jan 2008

Tunable Photonic Rf Signal Processor Using Opto-Vlsi, Budi Juswardy, Feng Xiao, Kamal Alameh

Research outputs pre 2011

A tunable photonic RF signal processor is proposed and demonstrated. The filter structure comprises a reconfigurable Opto-VLSI processor for tunability, arrayed waveguide gratings for wavelength slicing and multiplexing, a custom-made fiber array for wavelength routing and dropping, and high-dispersion fibres for true-time delay generation. The processor structure enables positive and negative weights to be synthesised thus realising arbitrary responses. The proof-of-concept of the tunable photonic RF signal processor is experimentally demonstrated.


Systemic Problems In Information Technology Adoption And Use: A Systems Thinking Perspective, Syed Arshad Raza, Craig Standing Jan 2008

Systemic Problems In Information Technology Adoption And Use: A Systems Thinking Perspective, Syed Arshad Raza, Craig Standing

Research outputs pre 2011

Understanding and creating the conditions under which information systems will be embraced by human organizations (thinking systems) remain a high-priority research issue. Despite numerous benefits associated with Information Technology (IT), there exist some intervening factors (systemic problems or issues) that impede technology’s widespread adoption and use in organisations. Established information technology adoption models like TAM, TRA etc. view technology adoption from the users’ perspective without taking a strategic perspective into account. As an alternative focus we suggest that addressing systemic problems can be a method of reducing fundamental barriers to organizational progress. This paper presents some real life examples of …


Obstacle Detection And Spectral Discrimination Using Multi-Wavelength Motionless Wide Angle Laser Scanning, Kaveh Sahba, Kamal Alameh, Clifton Smith Jan 2008

Obstacle Detection And Spectral Discrimination Using Multi-Wavelength Motionless Wide Angle Laser Scanning, Kaveh Sahba, Kamal Alameh, Clifton Smith

Research outputs pre 2011

Static laser scanning over a wide angle is demonstrated by ranging to 20 laser beams generated by a novel cylindrical quasi-cavity waveguide, using laser triangulation. Baseline distances and outgoing angles unique to each laser beam are calculated by modelling the triangulation arrangement using a system of linear equations and plotting principal rays. The quasi-cavity waveguide, imaging lens and focal plane are also plotted. The system is calibrated by finding optimal values for uncertain instrumental parameters using constrained non-linear optimization. Distances calculated over 5m indoors result in accuracies above 93%. Discrete laser spectroscopy using 640nm and 785nm laser diodes is also …