Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Algebraic Methods in Design and Analysis of Stream Ciphers. The project investigates the problem of communication security in the mobile environment where both confidentiality and authenticity are of prime concern. Stream ciphers are a very natural choice in mobile environment as they provide an efficient cryptographic protection using a limited computing resources. We model stream cipher as a system of multivariate equations. In this approach, security of stream ciphers can be measured as the c ....Algebraic Methods in Design and Analysis of Stream Ciphers. The project investigates the problem of communication security in the mobile environment where both confidentiality and authenticity are of prime concern. Stream ciphers are a very natural choice in mobile environment as they provide an efficient cryptographic protection using a limited computing resources. We model stream cipher as a system of multivariate equations. In this approach, security of stream ciphers can be measured as the complexity of an algorithm that solves the appropriate system of equations. This project leads to new techniques for the design and analysis of stream ciphers.Read moreRead less
Algebraic Models of Stream Ciphers. The project investigates communication security in the mobile environment where both confidentiality and authenticity are of a prime concern. Stream ciphers are a natural choice in mobile environments as they provide an efficient cryptographic protection using a limited computing resources. We treat stream ciphers as algebraic objects whose properties fully determine their cryptographic strength. We first analyse existing stream ciphers showing their algebraic ....Algebraic Models of Stream Ciphers. The project investigates communication security in the mobile environment where both confidentiality and authenticity are of a prime concern. Stream ciphers are a natural choice in mobile environments as they provide an efficient cryptographic protection using a limited computing resources. We treat stream ciphers as algebraic objects whose properties fully determine their cryptographic strength. We first analyse existing stream ciphers showing their algebraic properties and later we derive a design methodology for provably secure stream ciphers. The project leads to new secure and efficient designs for stream ciphers that are the preferred cryptographic tools used in Australian industry.Read moreRead less
Algebraic Properties of Cryptographic Components and their Cryptanalysis. The outcomes will enhance information and communication security, which is absolutely crucial for the rapidly growing e-commerce and e-government services in Australia. International collaboration will be strengthened by reciprocal exchange of researchers and postgraduate students leading to more attractive and productive research environment. Our project will help to maintain a high profile of Australian researchers, to i ....Algebraic Properties of Cryptographic Components and their Cryptanalysis. The outcomes will enhance information and communication security, which is absolutely crucial for the rapidly growing e-commerce and e-government services in Australia. International collaboration will be strengthened by reciprocal exchange of researchers and postgraduate students leading to more attractive and productive research environment. Our project will help to maintain a high profile of Australian researchers, to increase the capacity for consultancy and contract work, and provide a cutting-edge information technology for the Australian telecommunications industry, business and government.Read moreRead less
Algebraic Analysis of Cryptosystems. This project studies an (new) algebraic approach to cryptanalysis of modern block ciphers. The approach works for all cryptosystems that use either small S-boxes, or their algebraic structure can be described by a system of overdefined quadratic equations. The cryptosystems that are potentially breakable using this approach are Rijndael and Serpent - the two top finalists of the Advanced Encryption Standard contest. The project also explores how this approach ....Algebraic Analysis of Cryptosystems. This project studies an (new) algebraic approach to cryptanalysis of modern block ciphers. The approach works for all cryptosystems that use either small S-boxes, or their algebraic structure can be described by a system of overdefined quadratic equations. The cryptosystems that are potentially breakable using this approach are Rijndael and Serpent - the two top finalists of the Advanced Encryption Standard contest. The project also explores how this approach can be applied to design new and more powerful factoring algorithms. The project has an explosive potential to redefine the theory and practice of modern cryptography.Read moreRead less
Secure Crowdsourcing Classification with Privacy Protection against Servers. This project aims to enable comprehensive quality data classification via secure crowdsourcing. The quality of a data-intensive process, such as a Machine Learning algorithm, depends on the input data quality. By using a crowdsourcing classification, the project expects to overcome the painstaking and costly process of humans correctly annotating extensive input data from diverse real information. The expected outcomes ....Secure Crowdsourcing Classification with Privacy Protection against Servers. This project aims to enable comprehensive quality data classification via secure crowdsourcing. The quality of a data-intensive process, such as a Machine Learning algorithm, depends on the input data quality. By using a crowdsourcing classification, the project expects to overcome the painstaking and costly process of humans correctly annotating extensive input data from diverse real information. The expected outcomes are innovative technologies, guaranteeing accuracy and confidentiality of annotation results whilst protecting the privacy of data classification results. It enhances data-intensive outputs quality, which will benefit large data-intensive applications, such as cybersecurity protections via intrusion detection.Read moreRead less
Private Information Retrieval. The deliverables of this project will enhance information protection which is essential for rapidly expanding e-commerce applications and network communication. It will maintain and strengthen national capability of protecting the confidential integrity of digital systems and the network infrastructure in Australia. It will contribute to maintaining Australia's leading position in telecommunications and information industries. It will enhance the quality of our ....Private Information Retrieval. The deliverables of this project will enhance information protection which is essential for rapidly expanding e-commerce applications and network communication. It will maintain and strengthen national capability of protecting the confidential integrity of digital systems and the network infrastructure in Australia. It will contribute to maintaining Australia's leading position in telecommunications and information industries. It will enhance the quality of our culture by protecting individual's privacy and providing security for sensitive data. Read moreRead less
Practical unified framework for secure e-consent mechanism for health records. This project is driven by modern applications of cryptography and network security and their applications in securing e-health by enabling secure Personal Health Records (PHRs), which will play an important role in the future healthcare industry.
Homomorphic cryptography: computing on encrypted data. This project is driven by the groundbreaking applications of a new cryptographic technology that allows analysis of encrypted (scrambled) data without needing to decrypt (unscramble) it first. The results of this project can be used to enable secure remote data storage, electronic auctions and voting, and protecting medical records.