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
Advanced coding techniques for next generation NAND Flash memories. Advanced coding techniques for next generation NAND Flash memories. This project aims to design low-power consuming coding schemes that can achieve the maximum coding gain for NAND Flash memories in Solid State Drives. Although these devices are replacing hard drives in laptops and provide enormous benefits in access speed and weight, they become unreliable the more they are used. Advanced coding techniques are needed to solve p ....Advanced coding techniques for next generation NAND Flash memories. Advanced coding techniques for next generation NAND Flash memories. This project aims to design low-power consuming coding schemes that can achieve the maximum coding gain for NAND Flash memories in Solid State Drives. Although these devices are replacing hard drives in laptops and provide enormous benefits in access speed and weight, they become unreliable the more they are used. Advanced coding techniques are needed to solve problems caused by the very strict reliability/cost requirements of large storage systems. Allocating memory to coding redundant information can extend these devices’ lifetime. The design of codes and decoders with a low power consumption is expected to be the key enabling technology for next generation large storage devices.Read moreRead less