Developing a Scalable Infrastructure for Embedded E-Security Incorporating Cryptography and Biometric Authentication. A fundamental flaw in existing embedded e-security technologies is their cryptography-plus-PIN-number infrastructure. This has generated security concerns that have proved a major obstacle to the growth of e-commerce, presently a relatively poor 2% of market share. We aim to design a new infrastructure that can solve this security problem by incorporating cryptography and biomet ....Developing a Scalable Infrastructure for Embedded E-Security Incorporating Cryptography and Biometric Authentication. A fundamental flaw in existing embedded e-security technologies is their cryptography-plus-PIN-number infrastructure. This has generated security concerns that have proved a major obstacle to the growth of e-commerce, presently a relatively poor 2% of market share. We aim to design a new infrastructure that can solve this security problem by incorporating cryptography and biometric authentication into a computing resource limited embedded e-security system. The outcomes of this project will be a set of new cryptosystems, new biometrics processing schemes and new onboard resource allocation schemes that will form the basis for the next generation of embedded systems.Read moreRead less
Secure Management of Internet of Things Data for Critical Surveillance. This project aims to develop innovative models/algorithms to manage Internet of Things (IoT) data safely and reliably. This project expects to generate new knowledge in the area of classified information governance using innovative data collection, transmission and analysis techniques that overcome the security concerns in large-scale collaborative sensing. Expected outcomes include novel abstract interfaces for IoT, adaptiv ....Secure Management of Internet of Things Data for Critical Surveillance. This project aims to develop innovative models/algorithms to manage Internet of Things (IoT) data safely and reliably. This project expects to generate new knowledge in the area of classified information governance using innovative data collection, transmission and analysis techniques that overcome the security concerns in large-scale collaborative sensing. Expected outcomes include novel abstract interfaces for IoT, adaptive trust and integrity preserving methods, and reliable distributed data processing mechanisms to mitigate vulnerabilities in real-time IoT-enabled critical surveillance. This should provide significant benefits to Australia's economy, one of which is the enhanced consumer-centric adoption of IoT for sensitive operations.Read moreRead less
Electro-Optical Primers for Safe Use and Clean Manufacturing. Conventional primers contain a mechanically-sensitive primary explosive that is used to detonate the more stable propellant in a bullet. This project aims to address the health and environmental impacts of heavy metals in current primers by replacing them with benign, electrically or optically activated silicon-based materials. Modern semiconductor fabrication techniques will be used to develop safe and clean primers through cost-effe ....Electro-Optical Primers for Safe Use and Clean Manufacturing. Conventional primers contain a mechanically-sensitive primary explosive that is used to detonate the more stable propellant in a bullet. This project aims to address the health and environmental impacts of heavy metals in current primers by replacing them with benign, electrically or optically activated silicon-based materials. Modern semiconductor fabrication techniques will be used to develop safe and clean primers through cost-effective doping and deposition protocols. The expected outcomes of the project include a sovereign primer manufacturing capability for Australia. This will provide a significant strategic advantage and health benefits for law enforcement and defence personnel during live fire training and firing range exercises.Read moreRead less
Analysis and classification of malicious code. Malicious software such as viruses and worms directly attacks the security, privacy and integrity of Australian e-commerce, large databases and communication channels. The recent uptake of malicious software by organised crime has made finding effective countermeasures more urgent. Around 80% of the malicious code in circulation is disguised in some way. This significantly increases the difficulty of automated detection and delays analysis. Automate ....Analysis and classification of malicious code. Malicious software such as viruses and worms directly attacks the security, privacy and integrity of Australian e-commerce, large databases and communication channels. The recent uptake of malicious software by organised crime has made finding effective countermeasures more urgent. Around 80% of the malicious code in circulation is disguised in some way. This significantly increases the difficulty of automated detection and delays analysis. Automated classification and de-obfuscation technologies are a precondition to applying more sophisticated detection heuristics. The project will be instrumental in safeguarding Australia by protecting critical infrastructure and defending us from online organised crime and information warfare.Read moreRead less
Secure user authentication with continuous adaptive risk evaluation. Users typically authenticate to any given system only once - when they first access it (for example, through providing a password or fingerprint). The prevalence of single sign-on further allows this single authentication to be sufficient for access to multiple systems. Thus an adversary can obtain a large degree of access from stealing a single password, hijacking a user's session, or even simply borrowing their phone. This pr ....Secure user authentication with continuous adaptive risk evaluation. Users typically authenticate to any given system only once - when they first access it (for example, through providing a password or fingerprint). The prevalence of single sign-on further allows this single authentication to be sufficient for access to multiple systems. Thus an adversary can obtain a large degree of access from stealing a single password, hijacking a user's session, or even simply borrowing their phone. This project aims to develop a continuous authentication approach based on user behaviour - typical interactions plus biometrics (for example, keystroke dynamics) - combined with a risk adaptive assessment of the resources being accessed, resulting in re-authentication requests in the event of a suspected compromise.Read moreRead less
Visualisation of latent DNA. This project aims to deliver a proof-of-concept that allows visualisation of invisible DNA (latent DNA) into a quick, inexpensive and practical DNA collection method that will lead to DNA evidence being available in more cases. It will build upon a proof-of-concept method ready for transferal to forensic casework. This will allow DNA evidence recovery technicians to improve their hit rate in recovering latent DNA from real crime items, leading to more informative DNA ....Visualisation of latent DNA. This project aims to deliver a proof-of-concept that allows visualisation of invisible DNA (latent DNA) into a quick, inexpensive and practical DNA collection method that will lead to DNA evidence being available in more cases. It will build upon a proof-of-concept method ready for transferal to forensic casework. This will allow DNA evidence recovery technicians to improve their hit rate in recovering latent DNA from real crime items, leading to more informative DNA profiles. Crime items that currently yield no genetic information will now be informative, assisting investigations of serious crimes or terrorist incidents.Read moreRead less
Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks ....Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks to address both difficulties by using rigorous statistical signal processing methods to optimally fuse information from a network of low-cost cameras.Read moreRead less
Securing Knowledge Processes in Organisations. This project will develop a methodology for identifying and comparing security risks associated with knowledge-intensive processes in organizations. The project addresses a significant area that has historically fallen between two research domains: organisational knowledge processes and systems, and critical information infrastructure protection. The project will establish a unified framework to balance the sharing and protection of information and ....Securing Knowledge Processes in Organisations. This project will develop a methodology for identifying and comparing security risks associated with knowledge-intensive processes in organizations. The project addresses a significant area that has historically fallen between two research domains: organisational knowledge processes and systems, and critical information infrastructure protection. The project will establish a unified framework to balance the sharing and protection of information and organizational knowledge. Outcomes include a framework for modelling knowledge-intensive processes to assess their security vulnerability, an associated methodology of creating security risk profiles of knowledge intensive processes and the validation of the methodology in 3 to 6 organizations.Read moreRead less
An active approach to detect and defend against peer-to-peer botnets. The aim of this project is to develop an effective defence system to help organisations detect and defend against the peer-to-peer (P2P) botnets. If this research is accomplished successfully, it will be a big step forward in defeating this new but devastating malicious software widely utilised by Internet criminals and terrorists. The capability of a nation to defend against the P2P botnet attacks on its information infrastru ....An active approach to detect and defend against peer-to-peer botnets. The aim of this project is to develop an effective defence system to help organisations detect and defend against the peer-to-peer (P2P) botnets. If this research is accomplished successfully, it will be a big step forward in defeating this new but devastating malicious software widely utilised by Internet criminals and terrorists. The capability of a nation to defend against the P2P botnet attacks on its information infrastructure is central to the control of such attacks and hence to a nation's long-term survival and prosperity. The outcomes of this project can be directly used in Australian research communities and adopted by industry and government agencies.Read moreRead less
Intruder alert! detecting and classifying events in noisy time series. This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enabl ....Intruder alert! detecting and classifying events in noisy time series. This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enable improved event detection and classification in noisy time series to the benefit of many critical application areas beyond national security.Read moreRead less