Welcome to TrustData 2016 in Zhangjiajie, China, November 16-18, 2016! Zhangjiajie is an emerging tourist destination famous for its unique natural scenery and abundant tourism resources. It is located in the northwest of Hunan province, about 400 kilometers away from Changsha, the capital of Hunan province, covering a total area of 9,563 square kilometers, of which 76% are mountainous area. Out of its total population of 1.62 million, almost 72% belong to ethnic minority groups, including Tujia, Bai and Miao nationalities. Zhangjiajie was listed into the World Natural Heritage Catalogue by the UNESCO in 1992. Zhangjiajie was awarded the title of "World Geological Park" in 2004.
The 7th International Workshop on Trust, Security and Privacy for Big Data (TrustData 2016), in conjunction with "The 9th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2016) ", aims at bringing together people from both academia and industry to present their most recent work related to trust, security and privacy issues in Big Data, and exchange ideas and thoughts in order to identify emerging research topics and define the future of Big Data.
Trust Track
Trust semantics, metrics, and models for Big Data
Trust management and evaluation for Big Data
Trusted systems, software, and applications for Big Data
Trusted platform implementation technologies for Big Data
Information quality/trustworthiness for Big Data
Provenance of content for Big Data
Trustworthiness of ratings/recommender systems for Big Data
Security Track
Security model and architecture for Big Data
Data mining security for Big Data
Software and system security for Big Data
Intrusion detection for Gigabit Networks
Cryptography and Big Data
Visualizing large scale security data
Threat detection using Big Data analytics
Human computer interaction challenges for Big Data security
Data protection, integrity standards and policies
Security and legislative impacts for Big Data
Managing user access for Big Data
Secure quantum communications
Privacy Track
Privacy in Big Data applications and services
Privacy in Big Data end-point input validation and filtering
Privacy in Big Data integration and transformation
Privacy in parallel and distributed computation
Privacy in Big Data storage management
Privacy in Big Data access control mechanisms
Privacy in Big Data mining and analytics
Privacy in Big Data sharing and visualization
Big Data privacy policies and standards
11月16日
2016
11月18日
2016
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