Holistic evaluation in multi-model databases benchmarking
A multi-model database (MMDB) is designed to support multiple data models against a single, integrated back-end. Examples of data models include document, graph, relational, and key-value. As more and more platforms are developed to deal with ...
Secrecy and performance models for query processing on outsourced graph data
Database outsourcing is a challenge concerning data secrecy. Even if an adversary, including the service provider, accesses the data, she should not be able to learn any information from the accessed data. In this paper, we address this problem ...
An improved query optimization process in big data using ACO-GA algorithm and HDFS map reduce technique
Storing as well as retrieving the data on a specific time frame is fundamental for any application today. So an efficiently designed query permits the user to get results in the desired time and creates credibility for the corresponding ...
Collusion-resistant protocols for private processing of aggregated queries in distributed databases
Private processing of database queries protects the confidentiality of sensitive data when queries are answered. It is important to design collusion-resistant protocols ensuring that privacy remains protected even when a certain number of honest-...
A data distribution model for RDF
The ever-increasing amount of RDF data made available requires data to be partitioned across multiple servers. We have witnessed some research progress made towards scaling RDF query processing based on suitable data distribution methods. In ...
Pruning techniques for parallel processing of reverse top-k queries
In this paper, we address the problem of processing reverse top-k queries in a parallel setting. Given a database of objects, a set of user preferences, and a query object q, the reverse top-k query returns the subset of user preferences for which ...
A survey on novel classification of deduplication storage systems
The huge blast of information caused a lot of dilemmas in both storage and retrieval procedures. The enlargement in a massive quantity of digital data requirements imposes more storage space, which in turn radically increases performance and cost ...
GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data
GPS-dependent localization, tracking and navigation applications have a significant impact on the modern aviation industry. However, the lack of encryption and authentication makes GPS vulnerable for spoofing attacks with the purpose of hijacking ...
Location prediction: a deep spatiotemporal learning from external sensors data
- Lívia Almada Cruz,
- Karine Zeitouni,
- Ticiana Linhares Coelho da Silva,
- José Antonio Fernandes de Macedo,
- José Soares da Silva
This paper proposes a deep multi-task learning framework to predict the next location from trajectories that are captured by external sensors (e.g., traffic surveillance cameras, or speed radars). The reported positions in such trajectories are ...
