Foundations for Physically Unclonable nano-Security on Silicon. This project aims to develop an on-chip physical unclonable function (PUF) based on recent progress in nanotechnology to generate unprecedented number of unique signatures. This is significant because these signatures can be used for preventing fraud and counterfeiting, protecting sensitive data and securing communications. PUFs will play an extremely vital role in future security systems. The PUF in the proposed project will be sim ....Foundations for Physically Unclonable nano-Security on Silicon. This project aims to develop an on-chip physical unclonable function (PUF) based on recent progress in nanotechnology to generate unprecedented number of unique signatures. This is significant because these signatures can be used for preventing fraud and counterfeiting, protecting sensitive data and securing communications. PUFs will play an extremely vital role in future security systems. The PUF in the proposed project will be simple, fast, tiny, energy efficient and highly secure as a result of the abundant nano-fabrication variations. The outcome of this project will be a prototype of a super high secure nanoelectronic-based PUF that will be tested to evaluate the technology and its security against malicious attacks.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
Drug targets in the relict plastid of malaria parasites. Malaria is a major world health problem and new drugs are needed urgently. Essential genes are potentially excellent targets for anti-malarial drugs. This project will use a novel strategy to identify genes that the parasite cannot exist without. Function and drug potential of these genes will be explored.
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
Discovery Early Career Researcher Award - Grant ID: DE190100046
Funder
Australian Research Council
Funding Amount
$387,000.00
Summary
Fortifying our digital economy: advanced automated vulnerability discovery. This project aims to enable security researchers to detect critical vulnerabilities in large software systems with maximal efficiency, cost-effectively, and with known statistical accuracy. The aim is to develop advanced high-performance fuzzers that effectively thwart malware attacks, ransomware epidemics, and cyber terrorism by exposing security flaws before they can commence. The project will employ a well-established ....Fortifying our digital economy: advanced automated vulnerability discovery. This project aims to enable security researchers to detect critical vulnerabilities in large software systems with maximal efficiency, cost-effectively, and with known statistical accuracy. The aim is to develop advanced high-performance fuzzers that effectively thwart malware attacks, ransomware epidemics, and cyber terrorism by exposing security flaws before they can commence. The project will employ a well-established statistical framework utilised in ecology research to provide fundamental insights to boosting the efficiency of software vulnerability discovery, and on the trade-off between investing more resources and gaining better cyber security guarantees. As our reliance on new technologies is ever growing, this project equips Australia to curb cyber crime cost-effectively.Read moreRead less
Nanophotonic metamaterials as anti-counterfeit devices in Australian banknotes. This project will demonstrate the application of novel materials as the basis for next generation security features on banknotes. Such elements play a key role in maintaining the integrity of Australia's currency since they present a significant barrier to counterfeiting.
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
Optimal design of controlled aerodynamic bodies: from concept to prototype. This interdisciplinary project will deliver technological advances in the areas of fluid dynamics, control systems and optimisation. It utilises advanced knowledge in these areas to design manoeuvrable aerodynamic bodies and will have a direct effect on Australian defence capability.
Hybrid materials with tunable mechanical response via topological interlocking and embedded kinematic agents. The project investigates a new approach to materials design targeting the inner architecture of materials. Such materials will be multifunctional and responsive to external fields. Applications include sound- and vibration-absorbing cladding, morphing aerospace and automotive materials, and protective civil engineering structures.
Discovery Early Career Researcher Award - Grant ID: DE150101301
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Cognitive Models of Human Decision-making in Cybersecurity Settings. This project aims to study human decision-making by attackers, defenders and users, in a cyber-security setting. Cognitive modelling of these decisions will play a central role in understanding and optimising the safety of cyberspace. This project will involve three components: new behavioural experiments focusing on cybersecurity situations of prevention and detection; cognitive models to understand and predict how people make ....Cognitive Models of Human Decision-making in Cybersecurity Settings. This project aims to study human decision-making by attackers, defenders and users, in a cyber-security setting. Cognitive modelling of these decisions will play a central role in understanding and optimising the safety of cyberspace. This project will involve three components: new behavioural experiments focusing on cybersecurity situations of prevention and detection; cognitive models to understand and predict how people make decisions in such settings; and the evaluation of these models against behavioural data using Bayesian statistical methods. This will then be applied to operational problems that will involve, determining optimal security policies, automated behaviour in adversarial situations, and individualised training.Read moreRead less