Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Information Security (532)
- Artificial Intelligence and Robotics (92)
- Engineering (48)
- Software Engineering (48)
- Social and Behavioral Sciences (45)
-
- Computer Engineering (33)
- Medicine and Health Sciences (29)
- Databases and Information Systems (28)
- Business (26)
- Other Computer Sciences (23)
- Graphics and Human Computer Interfaces (20)
- Life Sciences (17)
- Theory and Algorithms (16)
- Health Information Technology (14)
- Education (13)
- Electrical and Computer Engineering (12)
- OS and Networks (12)
- Public Affairs, Public Policy and Public Administration (12)
- Systems Architecture (12)
- Plant Sciences (11)
- Agricultural Science (10)
- Legal Studies (10)
- Numerical Analysis and Scientific Computing (9)
- Defense and Security Studies (8)
- Digital Communications and Networking (8)
- Sociology (8)
- Arts and Humanities (7)
- Business Administration, Management, and Operations (6)
- Keyword
-
- [RSTDPub] (145)
- Security (104)
- Digital forensics (41)
- Information security (38)
- Machine learning (38)
-
- Privacy (35)
- Cyber security (28)
- Artificial intelligence (25)
- Computer security (24)
- Cybersecurity (24)
- Deep learning (22)
- Network security (22)
- Intrusion detection (21)
- Australia (20)
- Authentication (20)
- Forensics (20)
- Malware (20)
- [aism] (18)
- Healthcare (17)
- Encryption (16)
- Anomaly detection (14)
- Biometrics (14)
- Blockchain (14)
- Risk (14)
- Computer science (13)
- Forensic (13)
- Risk management (13)
- Vulnerability (13)
- Cloud computing (12)
- Detection (12)
- Publication Year
- Publication
-
- Australian Information Security Management Conference (225)
- Research outputs 2022 to 2026 (201)
- Australian Digital Forensics Conference (177)
- Research outputs pre 2011 (171)
- Research outputs 2014 to 2021 (119)
-
- Theses : Honours (87)
- Theses: Doctorates and Masters (85)
- Australian Information Warfare and Security Conference (58)
- Australian Security and Intelligence Conference (42)
- Research outputs 2012 (31)
- Australian eHealth Informatics and Security Conference (25)
- International Cyber Resilience conference (20)
- Research outputs 2011 (17)
- Australian Counter Terrorism Conference (9)
- Research Datasets (6)
- Research outputs 2013 (6)
- EDU-COM International Conference (3)
- InfoSci@ECU Seminars (2)
- Creative Connections Symposium @ BEAP2004 September 4, 2004 (1)
- Publication Type
- File Type
Articles 811 - 840 of 1285
Full-Text Articles in Computer Sciences
An Online Ballistics Imaging System For Firearm Identification, Zhihu Huang, Jinsong Leng
An Online Ballistics Imaging System For Firearm Identification, Zhihu Huang, Jinsong Leng
Research outputs pre 2011
Since the traditional ballistics imaging system is dependent upon the expertise and experience of end-user, an intelligent ballistics imaging system is highly demanded to overcome the drawbacks of traditional techniques. This paper aims to develop a novel ballistics imaging system so as to combine the traditional functions with new features such as the line-scan image module, the characteristics extraction module, and the intelligent image processing module. With the help of these features, the new system can identify firearm more efficiently and effectively than the traditional techniques.
Application Of A Data Mining Framework For The Identification Of Agricultural Production Areas In Wa, Yunous Vagh, Leisa Armstrong, Dean Diepeveen
Application Of A Data Mining Framework For The Identification Of Agricultural Production Areas In Wa, Yunous Vagh, Leisa Armstrong, Dean Diepeveen
Research outputs pre 2011
This paper will propose a data mining framework for the identification of agricultural production areas ill WA. The data mining (DM) framework was developed with the aim of enhancing the analysis of agricultural datasets compared to currently used statistical methods. The DM framework is a synthesis of different technologies brought together for the purpose of enhancing the interrogation of these datasets. The DM framework is based on the data, information, knowledge and wisdom continuum as a horizontal axis, with DM and online analytical processing (OLAP) forming the vertical axis. In addition the DM framework incorporates aspects of data warehousing phases, …
Official/ Unofficial: Information Management And Social Association, Kay Hearn
Official/ Unofficial: Information Management And Social Association, Kay Hearn
Research outputs pre 2011
This paper explores the debates around civil society and corporatism as ways of understanding changes in social association, including non-governmental organisations and protest groups, and information management in relation to the development of the Internet. Both concepts have been used to examine the changes that have taken place since the implementation of the Open Door Policy and more recently the development of the Internet, and have shed light on the way in which new forms of social association operate, and on their relationship to the government. However, both concepts tend to be deterministic and eductionist positions. Instead, I use a …
Redtnet: A Network Model For Strategy Games, Philip Hingston, Mike Preuss, Daniel Spierling
Redtnet: A Network Model For Strategy Games, Philip Hingston, Mike Preuss, Daniel Spierling
Research outputs pre 2011
In this work, we develop a simple, graph-based framework, RedTNet, for computational modeling of strategy games and simulations. The framework applies the concept of red teaming as a means by which to explore alternative strategies. We show how the model supports computer-based red teaming in several applications: realtime strategy games and critical infrastructure protection, using an evolutionary algorithm to automatically detect good and often surprising strategies.
The Significance Of Learning Style With Respect To Achievement In First Year Programming Students, Vivian Campbell, Michael Johnstone
The Significance Of Learning Style With Respect To Achievement In First Year Programming Students, Vivian Campbell, Michael Johnstone
Research outputs pre 2011
Study investigates the relationship between the Kolb learning style of first-year programming students and their level of achievement. The method of data collection is described and the process of hypothesis testing is explained. The students in this study were predominately converger and accommodator learning styles. Statistical tests indicated no overall difference between the results of students with different learning styles but a difference was found along Kolb's concrete-abstract axis. A number of possible impacts on teaching are discussed and suggestions made for future research.
Android Forensics: Simplifying Cell Phone Examinations, Jeff Lessard, Gary Kessler
Android Forensics: Simplifying Cell Phone Examinations, Jeff Lessard, Gary Kessler
Research outputs pre 2011
It is hardly appropriate to call the devices many use to receive the occasional phone call a telephone any more. The capability of these devices is growing, as is the number of people utilizing them. By the end of 2009, 46.3% of mobile phones in use in the United States were reported to be smart phones (AdMob, 2010). With the increased availability of these powerful devices, there is also a potential increase for criminals to use this technology as well. Criminals could use smart phones for a number of activities such as committing fraud over e-mail, harassment through text messages, …
The Adsl Router Forensics Process, Patryk Szewczyk
The Adsl Router Forensics Process, Patryk Szewczyk
Research outputs pre 2011
In 2010 the number of threats targeting ADSL routers is continually increasing. New and emergent threats have been developed to bypass authentication processes and obtain admin privileges directly to the device. As a result many malicious attempts are being made to alter the configuration data and make the device subsequently vulnerable. This paper discusses the non-invasive digital forensics approach into extracting evidence from ADSL routers. Specifically it validates an identified digital forensic process of acquisition. The paper then discusses how the approach may be utilised to extract configuration data ever after a device has been compromised to the point where …
How Do You Make Information Security User Friendly?, Andrew Jones
How Do You Make Information Security User Friendly?, Andrew Jones
Research outputs pre 2011
This article explores the past and the present situation, outlines a new approach, and presents conclusions.
Digital Forensics And The Issues Of Identity, Andrew Jones, Thomas Martin
Digital Forensics And The Issues Of Identity, Andrew Jones, Thomas Martin
Research outputs pre 2011
The issue of what we consider to be the identity of a person has become increasingly complex as we have made ever greater use of the facilities and services that have been made available by developing technologies and the Internet. In the past people normally had one identity, while in the current environment it is acceptable to maintain separate ‘identities’ for different aspects of our on-line interactions. Proving beyond a reasonable doubt that an individual that is suspected of a crime that is based on the technologies that we increasingly rely on was the actual perpetrator has always been problematic. …
A New Design For A Turing Test For Bots, Philip Hingston
A New Design For A Turing Test For Bots, Philip Hingston
Research outputs pre 2011
Interesting, human-like opponents add to the entertainment value of a video game, and creating such opponents is a difficult challenge for programmers. Can artificial intelligence and computational intelligence provide the means to convincingly simulate a human opponent? Or are simple programming tricks and deceptions more effective? To answer these questions, the author designed and organised a game bot programming competition, the BotPrize, in which competitors submit bots that try to pass a “Turing Test for Bots”. In this paper, we describe a new design for the competition, which will make it simpler to run, and, we hope, open up new …
Evolving Group Strategies For Ipd, Philip Hingston
Evolving Group Strategies For Ipd, Philip Hingston
Research outputs pre 2011
The Iterated Prisoners Dilemma (IPD) is often used to model cooperation between self-interested agents. In an earlier study, we introduced a framework using IPD to study the effects of species-level competition on the evolution of cooperative behaviour. In this paper, we extend the previous work, using co-evolutionary simulations of interactions between species of IPD-playing agents to investigate how group strategies may evolve. We find that the ability to cooperate more with agents of the same species greatly increases the ferocity of competition between species.
A Novel Subspace Outlier Detection Approach In High Dimensional Data Sets, Jinsong Leng
A Novel Subspace Outlier Detection Approach In High Dimensional Data Sets, Jinsong Leng
Research outputs pre 2011
Many real applications are required to detect outliers in high dimensional data sets. The major difficulty of mining outliers lies on the fact that outliers are often embedded in subspaces. No efficient methods are available in general for subspace-based outlier detection. Most existing subspacebased outlier detection methods identify outliers by searching for abnormal sparse density units in subspaces. In this paper, we present a novel approach for finding outliers in the ‘interesting’ subspaces. The interesting subspaces are strongly correlated with `good' clusters. This approach aims to group the meaningful subspaces and then identify outliers in the projected subspaces. In doing …
Autonomous Bee Colony Optimization For Multi-Objective Function, F Zeng, James Decraene, Malcolm Low, Philip Hingston, C Wentong, Z Suiping, M Chandramohan
Autonomous Bee Colony Optimization For Multi-Objective Function, F Zeng, James Decraene, Malcolm Low, Philip Hingston, C Wentong, Z Suiping, M Chandramohan
Research outputs pre 2011
An Autonomous Bee Colony Optimization (A-BCO) algorithm for solving multi-objective numerical problems is proposed. In contrast with previous Bee Colony algorithms, A-BCO utilizes a diversity-based performance metric to dynamically assess the archive set. This assessment is employed to adapt the bee colony structures and flying patterns. This self-adaptation feature is introduced to optimize the balance between exploration and exploitation during the search process. Moreover, the total number of search iterations is also determined/optimized by A-BCO, according to user pre-specified conditions, during the search process. We evaluate A-BCO upon numerical benchmark problems and the experimental results demonstrate the effectiveness and robustness …
A Wrapper-Based Feature Selection For Analysis Of Large Data Sets, Jinsong Leng, Craig Valli, Leisa Armstrong
A Wrapper-Based Feature Selection For Analysis Of Large Data Sets, Jinsong Leng, Craig Valli, Leisa Armstrong
Research outputs pre 2011
Knowledge discovery from large data sets using classic data mining techniques has been proved to be difficult due to large size in both dimension and samples. In real applications, data sets often consist of many noisy, redundant, and irrelevant features, resulting in degrading the classification accuracy and increasing the complexity exponentially. Due to the inherent nature, the analysis of the quality of data sets is difficult and very limited approaches about this issue can be found in the literature. This paper presents a novel method to investigate the quality and structure of data sets, i.e., how to analyze whether there …
Behaviour Profiling On Mobile Devices, Fudong Li, Nathan Clarke, Maria Papadaki, Paul Dowland
Behaviour Profiling On Mobile Devices, Fudong Li, Nathan Clarke, Maria Papadaki, Paul Dowland
Research outputs pre 2011
Over the last decade, the mobile device has become a ubiquitous tool within everyday life. Unfortunately, whilst the popularity of mobile devices has increased, a corresponding increase can also be identified in the threats being targeted towards these devices. Security countermeasures such as AV and firewalls are being deployed, however, the increasing sophistication of the attacks requires additional measures to be taken. This paper proposes a novel behaviour-based profiling technique that is able to build upon the weaknesses of current systems by developing a comprehensive multilevel approach to profiling. In support of this model, a series of experiments have been …
A Distributed And Cooperative User Authentication Framework, C.G. Hocking, Steven Furnell, Nathan Clarke, P L Reynolds
A Distributed And Cooperative User Authentication Framework, C.G. Hocking, Steven Furnell, Nathan Clarke, P L Reynolds
Research outputs pre 2011
As the requirement for companies and individuals to protect information and personal details comes more into focus, the implementation of security that goes beyond the ubiquitous password or Personal Identification Number (PIN) is paramount. With the ever growing number of us utilizing more than one device simultaneously, the problem and need is compounded. This paper proposes a novel approach to security that leverages the collective confidence of user identity held by the multiplicity of devices present at any given time. User identity confidence is reinforced by sharing established credentials between devices, enabling them to make informed judgments on their own …
A Novel Binarization Algorithm For Ballistics Imaging Systems, Zhihu Huang, Jinsong Leng
A Novel Binarization Algorithm For Ballistics Imaging Systems, Zhihu Huang, Jinsong Leng
Research outputs pre 2011
The identification of ballistics specimens from imaging systems is of paramount importance in criminal investigation. Binarization plays a key role in preprocess of recognizing cartridges in the ballistic imaging systems. Unfortunately, it is very difficult to get the satisfactory binary image using existing binary algorithms. In this paper, we utilize the global and local thresholds to enhance the image binarization. Importantly, we present a novel criterion for effectively detecting edges in the images. Comprehensive experiments have been conducted over sample ballistic images. The empirical results demonstrate the proposed method can provide a better solution than existing binary algorithms.
Ignorant Experts: Computer And Network Security Support From Internet Service Providers, Patryk Szewczyk, Craig Valli
Ignorant Experts: Computer And Network Security Support From Internet Service Providers, Patryk Szewczyk, Craig Valli
Research outputs pre 2011
The paper examines the advice and support provided by seven major Internet Service Providers in Australia through late 2009 and early 2010 in relation to computer and network security. Previous research has indicated that many end-users will attempt to utilise the support provided by Internet Service Providers as a simple and effective method by which to obtain key information in regards to computer security. This paper demonstrates that in many cases the individuals working at the help desk are either reluctant to provide IT security support or have insufficient skill to provide the correct information.
Analysis Of Hu's Moment Invariants On Image Scaling And Rotation, Zhihu Huang, Jinsong Leng
Analysis Of Hu's Moment Invariants On Image Scaling And Rotation, Zhihu Huang, Jinsong Leng
Research outputs pre 2011
Moment invariants have been widely applied to image pattern recognition in a variety of applications due to its invariant features on image translation, scaling and rotation. The moments are strictly invariant for the continuous function. However, in practical applications images are discrete. Consequently, the moment invariants may change over image geometric transformation. To address this research problem, an analysis with respect to the variation of moment invariants on image geometric transformation is presented, so as to analyze the effect of image's scaling and rotation. Finally, the guidance is also provided for minimizing the fluctuation of moment invariants.
An Analysis Of Information Security Awareness Within Home And Work Environments, Shuhaili Talib, Nathan Clarke, Steven Furnell
An Analysis Of Information Security Awareness Within Home And Work Environments, Shuhaili Talib, Nathan Clarke, Steven Furnell
Research outputs pre 2011
As technology such as the Internet, computers and mobile devices become ubiquitous throughout society, the need to ensure our information remains secure is imperative. Unfortunately, it has long been understood that good security cannot be achieved through technical means alone and a solid understanding of the issues and how to protect yourself is required from users. Whilst many initiatives, programs and strategies have been proposed to improve the level of information security awareness, most have been directed at organizations, with a few national programs focused upon home users. Given people's use of technology is primarily focused upon those two areas: …
Interrogation Of Water Catchment Data Sets Using Data Mining Techniques, Ajdin Sehovic, Leisa Armstrong, Dean Diepeveen
Interrogation Of Water Catchment Data Sets Using Data Mining Techniques, Ajdin Sehovic, Leisa Armstrong, Dean Diepeveen
Research outputs pre 2011
Current environmental challenges such as increasing dry land salinity, water logging, eutrophication and high nutrient runoff in south western regions of Western Australia (WA) may have both cultural and environmental implications in the near future. Advances in computing through the application of data mining ,and geographic information services provide the tools to conduct •studies that can indicate possible changes in these water catchment areas of WA. The research examines the existing spatial data mining techniques that can be used to interpret trends in WA water catchment land use. Large GIS data sets of the water catchments on Peel-Harvey region have …
Photonic-Based Multi-Wavelength Sensor For Object Identification, Kavitha Venkataraayan, Sreten Askraba, Kamal Alameh, John Rowe
Photonic-Based Multi-Wavelength Sensor For Object Identification, Kavitha Venkataraayan, Sreten Askraba, Kamal Alameh, John Rowe
Research outputs pre 2011
A Photonic-based multi-wavelength sensor capable of discriminating objects is proposed and demonstrated for intruder detection and identification. The sensor uses a laser combination module for input wavelength signal multiplexing and beam overlapping, a custom-made curved optical cavity for multi-beam spot generation through internal beam reflection and transmission and a high-speed imager for scattered reflectance spectral measurements. Experimental results show that five different wavelengths, namely 473nm, 532nm, 635nm, 670nm and 785nm, are necessary for discriminating various intruding objects of interest through spectral reflectance and slope measurements. Objects selected for experiments were brick, cement sheet, cotton, leather and roof tile.
The Identification, Development And Application Of Information Culture In The Western Australian Public Sector, Janine Douglas
The Identification, Development And Application Of Information Culture In The Western Australian Public Sector, Janine Douglas
Theses: Doctorates and Masters
Information can be found in government departments in many forms. It exists, for example, as performance indicators, statistics, economic analysis, policy advice, political know-how or opinions. Using information is a daily and oft repeated activity in government departments. Information is central to the achievement of outcomes and the delivery of services. It is critical to the government’s success in the information economy. It is central to the development of products and services. It supports policy making and it underpins accountability. Government departments are built on the generation and use of information that is relevant to the largest of all customer …
Analysis Avoidance Techniques Of Malicious Software, Murray Brand
Analysis Avoidance Techniques Of Malicious Software, Murray Brand
Theses: Doctorates and Masters
Anti Virus (AV) software generally employs signature matching and heuristics to detect the presence of malicious software (malware). The generation of signatures and determination of heuristics is dependent upon an AV analyst having successfully determined the nature of the malware, not only for recognition purposes, but also for the determination of infected files and startup mechanisms that need to be removed as part of the disinfection process. If a specimen of malware has not been previously extensively analyzed, it is unlikely to be detected by AV software. In addition, malware is becoming increasingly profit driven and more likely to incorporate …
Theory Of Entropic Security Decay: The Gradual Degradation In Effectiveness Of Commissioned Security Systems, Michael P. Coole
Theory Of Entropic Security Decay: The Gradual Degradation In Effectiveness Of Commissioned Security Systems, Michael P. Coole
Theses: Doctorates and Masters
As a quantitative auditing tool for Physical Protection Systems (PPS) the Estimated Adversary Sequence Interruption (EASI) model has been available for many years. Nevertheless, once a systems macro-state measure has been commissioned (Pi) against its defined threat using EASI, there must be a means of articulating its continued efficacy (steady state) or its degradation over time. The purpose of this multi-phase study was to develop the concept and define the term entropic security decay. Phase one presented documentary benchmarks for security decay. This phase was broken into three stages; stage one presented General Systems Theory (GST) as a systems benchmark …
What Does Security Culture Look Like For Small Organizations?, Patricia A. Williams
What Does Security Culture Look Like For Small Organizations?, Patricia A. Williams
Australian Information Security Management Conference
The human component is a significant factor in information security, with a large numbers of breaches occurring due to unintentional user error. Technical solutions can only protect information so far and thus the human aspect of security has become a major focus for discussion. Therefore, it is important for organisations to create a security conscious culture. However, currently there is no established representation of security culture from which to assess how it can be manoeuvred to improve the overall information security of an organization. This is of particular importance for small organizations who lack the resources in information security and …
Playing Safe: A Prototype Game For Raising Awareness Of Social Engineering, Michael Newbould, Stephen Furnell
Playing Safe: A Prototype Game For Raising Awareness Of Social Engineering, Michael Newbould, Stephen Furnell
Australian Information Security Management Conference
Social engineering is now a major threat to users and systems in the online context, and it is therefore vital to educate potential victims in order to reduce their susceptibility to the related attacks. However, as with other aspects of security education, this firstly requires a means of getting the user’s attention. This paper presents details of an awarenessraising game that was developed in order to educate users in a more interactive way. A board game approach, combining reference material with themed multiple-choice questions, was implemented as an initial prototype, and evaluated with 21 users. The results suggested that the …
Proposed Framework For Understanding Information Security Culture And Practices In The Saudi Context, Mohammed Alnatheer, Karen Nelson
Proposed Framework For Understanding Information Security Culture And Practices In The Saudi Context, Mohammed Alnatheer, Karen Nelson
Australian Information Security Management Conference
An examination of Information Security (IS) and Information Security Management (ISM) research in Saudi Arabia has shown the need for more rigorous studies focusing on the implementation and adoption processes involved with IS culture and practices. Overall, there is a lack of academic and professional literature about ISM and more specifically IS culture in Saudi Arabia. Therefore, the overall aim of this paper is to identify issues and factors that assist the implementation and the adoption of IS culture and practices within the Saudi environment. The goal of this paper is to identify the important conditions for creating an information …
Tactical Analysis Of Attack In Physical And Digital Security Incidents:Towards A Model Of Asymmetry, Atif Ahmad
Tactical Analysis Of Attack In Physical And Digital Security Incidents:Towards A Model Of Asymmetry, Atif Ahmad
Australian Information Warfare and Security Conference
Asymmetric warfare is frequently described as a conflict where ‘weaker’ parties aim to offset their relatively inadequate resources by using particular strategies and tactics to their advantage. This research-in-progress paper develops a concept model of asymmetric warfare that represents the leverage available to the ‘weaker’ party over the ‘stronger’ party simply because the former is attacking rather than defending. Points of leverage include choice of timing, location, method of attack, best use of limited resources and time to prepare. The resulting concept model is used to discuss generic defensive strategies that can be applied by ‘stronger’ parties in the physical …
Ascent Of Asymmetric Risk In Information Security: An Initial Evaluation., Tobias Ruighaver, Matthew Warren, Atif Ahmad
Ascent Of Asymmetric Risk In Information Security: An Initial Evaluation., Tobias Ruighaver, Matthew Warren, Atif Ahmad
Australian Information Warfare and Security Conference
Dramatic changes in the information security risk landscape over several decades have not yet been matched by similar changes in organizational information security, which is still mainly based on a mindset that security is achieved through extensive preventive controls. As a result, maintenance cost of information security is increasing rapidly, but this increased expenditure has not really made an attack more difficult. The opposite seems to be true, information security attacks have become easier to perpetrate and appear more like information warfare tactics. At the same time, the damage caused by a successful attack has increased significantly and may sometimes …