2PBDC: privacy-preserving bigdata collection in cloud environment

被引:0
作者
Jangirala Srinivas
Ashok Kumar Das
Joel J. P. C. Rodrigues
机构
[1] International Institute of Information Technology,Center for Security, Theory and Algorithmic Research
[2] Hyderabad,undefined
[3] National Institute of Telecommunications (Inatel),undefined
[4] Instituto de Telecomunicações,undefined
[5] ITMO University,undefined
[6] University of Fortaleza (UNIFOR),undefined
来源
The Journal of Supercomputing | 2020年 / 76卷
关键词
Bigdata; Cloud computing; Privacy preservation; Authentication; Key agreement; Security; AVISPA simulation;
D O I
暂无
中图分类号
学科分类号
摘要
The combination of two overlapping technologies (bigdata and cloud computing) helps easy access to the evolving applications. In this context, there is a serious requirement of ensuring the transmission of data securely in order to improve the productivity over the public channel. Since the data collected by various sources are strictly private and confidential, there is also a great requirement to deal with the privacy preservation of the bigdata. To handle this issue, a new privacy-preserving bigdata collection technique in cloud computing environment, called 2PBDC, has been designed, which allows secure communication between the bigdata gateway nodes and the cloud servers. 2PBDC is shown to be secure against various known attacks against an active/passive adversary through the formal security verification as well as informal security analysis. A detailed comparative study among 2PBDC and other existing schemes has been conducted. This study shows that 2PBDC offers a better trade-off among the security and functionality features and communication and computation overheads while these are compared with other schemes.
引用
收藏
页码:4772 / 4801
页数:29
相关论文
共 50 条
  • [11] A privacy-preserving model based on differential approach for sensitive data in cloud environment
    Singh, Ashutosh Kumar
    Gupta, Rishabh
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (23) : 33127 - 33150
  • [12] Efficient and Privacy-Preserving Weighted Range Set Sampling in Cloud
    Zheng, Yandong
    Zhu, Hui
    Lu, Rongxing
    Zhang, Songnian
    Wang, Fengwei
    Shao, Jun
    Li, Hui
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2025, 22 (01) : 534 - 548
  • [13] Differential and Access Policy Based Privacy-Preserving Model in Cloud Environment
    Gupta, Rishabh
    Singh, Ashutosh Kumar
    JOURNAL OF WEB ENGINEERING, 2022, 21 (03): : 609 - 632
  • [14] Secure-aware and privacy-preserving electronic health record searching in cloud environment
    Wang, Xiao
    Zhang, Aiqing
    Xie, Xiaojuan
    Ye, Xinrong
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2019, 32 (08)
  • [15] A PRIVACY-PRESERVING STORAGE SECURITY FOR SPATIAL DATA IN DYNAMICS CLOUD ENVIRONMENT
    Sakthivel, S.
    Dhiyanesh, B.
    2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT), 2013,
  • [16] PPRU: A Privacy-Preserving Reputation Updating Scheme for Cloud-Assisted Vehicular Networks
    Liu, Zhiquan
    Wan, Lin
    Guo, Jingjing
    Huang, Feiran
    Feng, Xia
    Wang, Libo
    Ma, Jianfeng
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2025, 74 (02) : 1877 - 1892
  • [17] Privacy-Preserving Credit Scoring on Cloud
    Wang, Jilin
    Chen, Yingzi
    Feng, Xiaoqing
    CLOUD COMPUTING AND SECURITY, PT III, 2018, 11065 : 195 - 205
  • [18] PrigSim: Towards Privacy-Preserving Graph Similarity Search as a Cloud Service
    Wang, Songlei
    Zheng, Yifeng
    Jia, Xiaohua
    Huang, Hejiao
    Wang, Cong
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (10) : 10478 - 10496
  • [19] Privacy-Preserving Deep Learning on Big Data in Cloud
    Fan, Yongkai
    Zhang, Wanyu
    Bai, Jianrong
    Lei, Xia
    Li, Kuanching
    CHINA COMMUNICATIONS, 2023, 20 (11) : 176 - 186
  • [20] Secure and Privacy-preserving Task Announcement in Vehicular Cloud
    Alamer, Abdulrahman
    Deng, Yong
    Lin, Xiaodong
    2017 9TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2017,