A5027041346- Data Quality and Management
- Semantic Web and Ontologies
- Network Security and Intrusion Detection
- Distributed and Parallel Computing Systems
- Digital and Cyber Forensics
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Cloud Computing and Resource Management
- Business Process Modeling and Analysis
- Scientific Computing and Data Management
- Advanced Malware Detection Techniques
- Service-Oriented Architecture and Web Services
- Advanced Database Systems and Queries
Macquarie University
2019-2023
Iowa State University
2005
Networks have become omnipresent in today's world and part of the basic infrastructure. The safety problem is important urgent for all network users. But current situation this field very severe - not only it difficult to block criminals but also many cases unable find them out. There a growing need systems that allow detection complex attacks, after fact understanding what happened. This could be used forensic sense or simply as managerial tool recover repair damaged systems. are few...
At internet scale companies like ByteDance, data is generated and consumed at enormously high speed by many different applications. Achieving low latency on such big jobs an important problem. However, the naive approach of aggregating all required a job to single location not always feasible in geo-distributed environment. Similarly, existing approaches scheduling often try minimize WAN usage, which may come cost latency. Another crucial element ensure resource load balancing among DCs,...
Data has become a crucial factor driving the global economy, from various perspectives, including economics, technological advancements, digitization, and data analytics technologies. products are specific, ready-made sets that have been enriched with metadata designed to achieve particular outcomes. However, there is currently limited research on how provide efficient automated product generation sharing services. This paper proposes an approach extract descriptive capabilities automate...
Business processes are designed to achieve business goals under procedural rules by orchestrating tasks, information and documents. Managing data inconsistency in is a challenging task. If not managed properly, will face negative financial consequences. From literatures, BPMN modelling approaches deal with problem patterns; provenance analyze generated process investigate the reachability between points. Although substantial works have been done, has properly resolved. In particular, it...