Security and Privacy in Big Data (BigSecurity 2017)
Monday, 1 May 2017 ● 13:00 – 17:00 ● Room: Georgia 10
As we are deep into the Information Age, we also witness the explosive growth of data available on the Internet. Now we are face a fundamental challenge of Big Data, which has been emerging as a hot topic in Information and Communication Technologies (ICT) research. Many works have been carried out focusing on business, application and information processing level from big data, such as data mining and analysis. However, security and privacy issues in Big Data have not been extensively explored to date. Due to its extraordinary scale, security and privacy in Big Data faces many challenges, such as efficient encryption and decryption algorithms, encrypted information retrieval, attribute based encryption, attacks on availability, reliability and integrity of Big Data. The purpose of this workshop is to offer a timely venue for researchers and industry partners to present and discuss their latest results in security and privacy related work of Big Data.
General Chairs:
Prasant Mohapatra (University of California, Davis, USA)
Ke Liu (National Natural Science Foundation of China, China)
Technical Program Chairs:
Shui Yu (Deakin University, Australia)
Haixin Duan (Tsinghua University, China)
S1. Big Security 1, 13:30-15:00, Chair: Liang Xiao (Xiamen University, China)
Cumulative Prospect Theoretic Study of A Cloud Storage Defense Game Against Advanced Persistent Threats
Dongjin Xu and Liang Xiao (Xiamen University, P.R. China); Narayan Mandayam (WINLAB, Rutgers University, USA); H. Vincent Poor (Princeton University, USA)
Efficient Privacy-Preserving Decentralized ABE Supporting Expressive Access Structures
Liangxuan Zhang and Hui Li (Xidian University, P.R. China); Yinghui Zhang (Xi'an University of Posts and Telecommunications, P.R. China); Fawad Khan (Xidian University & School of Cyber Engineering, P.R. China)
Robust Authentication and Data Storage with Perfect Secrecy
Sebastian Baur (Technische Universität München, Germany); Holger Boche (Technical University Munich, Germany)
S2. Big Privacy 2, 15:30-17:00, Chair: Jianwei Niu (Beihang Unviersity, China)
PCD: A Privacy-preserving Predictive Clinical Decision Scheme with E-health Big Data Based on RNN
Jiaping Lin (Xidian University, P.R. China); Jianwei Niu (Beihang University, P.R. China); Hui Li (Xidian University, P.R. China)
A Data-driven Preprocessing Scheme on Anomaly Detection in Big Data Applications
Shengjie Xu (University of Nebraska-Lincoln, USA); Yi Qian (University of Nebraska–Lincoln, USA); Rose Qingyang Hu (Utah State University, USA)
A Preference-Aware Trajectory Privacy-Preserving Scheme in Location-Based Social Networks
Liang Zhu, Changqiao Xu, Jianfeng Guan and Yang Liu (Beijing University of Posts and Telecommunications, P.R. China); Hongke Zhang (Beijing Jiaotong University, P.R. China)
A FHE-Based Privacy-Preserving Image Processing Cloud Application
Kaveh Fazli and Guang Gong (University of Waterloo, Canada)
Monday, 1 May 2017 ● 13:00 – 17:00 ● Room: Georgia 10
As we are deep into the Information Age, we also witness the explosive growth of data available on the Internet. Now we are face a fundamental challenge of Big Data, which has been emerging as a hot topic in Information and Communication Technologies (ICT) research. Many works have been carried out focusing on business, application and information processing level from big data, such as data mining and analysis. However, security and privacy issues in Big Data have not been extensively explored to date. Due to its extraordinary scale, security and privacy in Big Data faces many challenges, such as efficient encryption and decryption algorithms, encrypted information retrieval, attribute based encryption, attacks on availability, reliability and integrity of Big Data. The purpose of this workshop is to offer a timely venue for researchers and industry partners to present and discuss their latest results in security and privacy related work of Big Data.
General Chairs:
Prasant Mohapatra (University of California, Davis, USA)
Ke Liu (National Natural Science Foundation of China, China)
Technical Program Chairs:
Shui Yu (Deakin University, Australia)
Haixin Duan (Tsinghua University, China)
S1. Big Security 1, 13:30-15:00, Chair: Liang Xiao (Xiamen University, China)
Cumulative Prospect Theoretic Study of A Cloud Storage Defense Game Against Advanced Persistent Threats
Dongjin Xu and Liang Xiao (Xiamen University, P.R. China); Narayan Mandayam (WINLAB, Rutgers University, USA); H. Vincent Poor (Princeton University, USA)
Efficient Privacy-Preserving Decentralized ABE Supporting Expressive Access Structures
Liangxuan Zhang and Hui Li (Xidian University, P.R. China); Yinghui Zhang (Xi'an University of Posts and Telecommunications, P.R. China); Fawad Khan (Xidian University & School of Cyber Engineering, P.R. China)
Robust Authentication and Data Storage with Perfect Secrecy
Sebastian Baur (Technische Universität München, Germany); Holger Boche (Technical University Munich, Germany)
S2. Big Privacy 2, 15:30-17:00, Chair: Jianwei Niu (Beihang Unviersity, China)
PCD: A Privacy-preserving Predictive Clinical Decision Scheme with E-health Big Data Based on RNN
Jiaping Lin (Xidian University, P.R. China); Jianwei Niu (Beihang University, P.R. China); Hui Li (Xidian University, P.R. China)
A Data-driven Preprocessing Scheme on Anomaly Detection in Big Data Applications
Shengjie Xu (University of Nebraska-Lincoln, USA); Yi Qian (University of Nebraska–Lincoln, USA); Rose Qingyang Hu (Utah State University, USA)
A Preference-Aware Trajectory Privacy-Preserving Scheme in Location-Based Social Networks
Liang Zhu, Changqiao Xu, Jianfeng Guan and Yang Liu (Beijing University of Posts and Telecommunications, P.R. China); Hongke Zhang (Beijing Jiaotong University, P.R. China)
A FHE-Based Privacy-Preserving Image Processing Cloud Application
Kaveh Fazli and Guang Gong (University of Waterloo, Canada)