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活动简介

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.

征稿信息

重要日期

2016-07-01
初稿截稿日期

征稿范围

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

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重要日期
  • 会议日期

    11月16日

    2016

    11月18日

    2016

  • 07月01日 2016

    初稿截稿日期

  • 11月18日 2016

    注册截止日期

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