期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (3)
Most of existing graph processing systems essentially follow pull-based computation model to handle compute-intensive parts of graph iteration for hig......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (4)
The massive generation, extensive sharing, and deep exploitation of data in the big data era have raised unprecedented privacy threats. To address pri......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (4)
Privacy preservation is one of the greatest concerns in big data. As one of extensive applications in big data, privacy preserving data publication (P......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (4)
The k-nearest neighbors (k-NN) query is a fundamental primitive in spatial and multimedia databases. It has extensive applications in location-based s......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (2)
With the steady growth of Android malware, we suspect that, during the malware development phase, some Android malware writers use the popular public ......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (2)
Verifiable pattern matching enables users to obtain authenticated query results over outsourced data on an untrusted remote server. It is a fundamenta......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (4)
Mobile CrowdSensing (MCS) is a new paradigm that leverages pervasive mobile devices to efficiently collect the big sensory data, enabling various larg......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (2)
Cyber-physical-social big data generated from ubiquitous devices and diverse spaces generally are multi-source, heterogeneous, and deeply intertwined.......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (2)
Large-scale events attracting many participants might have a strong negative impact on productivity, mobility, comfort, and safety in a city. Within t......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (2)
Ridesharing is a challenging topic in the urban computing paradigm, which utilizes urban sensors to generate a wealth of benefits and thus is an impor......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (4)
In the environment of cloud computing, the data produced by massive users form a data stream and need to be protected by encryption for maintaining co......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (4)
This paper addresses the problem of lossy outsourcing, i.e., clients outsource computation needs to the cloud side through lossy channels, which is ve......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (4)
With the growing amount of data, the demand of big data storage significantly increases. Through the cloud center, data providers can conveniently sha......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (4)
With the fast growing demands for the big data, we need to manage and store the big data in the cloud. Since the cloud is not fully trusted and it can......
期刊： IEEE TRANSACTIONS ON BIG DATA, 2021; 7 (4)
At present, computed tomography (CT) is widely used to assist disease diagnosis. Especially, computer aided diagnosis (CAD) based on artificial intell......
