Data protection in heterogeneous big data systems

被引：1
作者：
Poltavtseva, M. A. [1 ]
Aleksandrova, E. B. [1 ]
Shmatov, V. S. [1 ]
Zegzhda, P. D. [1 ]
机构：
[1] Peter Great St Petersburg Polytech Univ, Inst Cyber Secur & Informat Protect, St Petersburg, Russia
来源：
JOURNAL OF COMPUTER VIROLOGY AND HACKING TECHNIQUES | 2023年 / 19卷 / 03期
关键词：
Big data; Security; Integrity; Audit; Distributed ledger; BlockChain; STORAGE;
D O I：
10.1007/s11416-023-00472-3
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Modern Big Data systems are notable for their scale and, often, their distributed organization. A feature of a number of Big Data systems is the use of heterogeneous data processing tools. These are different DBMS and streaming processing tools with different data granularity. The input information may be repeatedly fragmented and re-grouped as it moves between storage locations. In this case, the problems of data integrity, access control and auditing cannot be solved by traditional methods. This paper considers the security of heterogeneous Big Data systems based on distributed ledger technologies and verifiable zero-knowledge operations.
引用
收藏
页码：451 / 458
页数：8
相关论文
共 39 条
  • [11] A survey of Blockchain consensus algorithms: mechanism, design and applications
    Fu, Xiang
    Wang, Huaimin
    Shi, Peichang
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2021, 64 (02)
  • [12] Goddijn I., 2020, RISKBASED SECURITY
  • [13] An efficient attribute-based hierarchical data access control scheme in cloud computing
    He, Heng
    Zheng, Liang-han
    Li, Peng
    Deng, Li
    Huang, Li
    Chen, Xiang
    [J]. HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2020, 10 (01)
  • [14] Hedera, OFF DOC
  • [15] Hoxha Ledina., 2018, European Journal of Engineering and Formal Sciences, V2, DOI DOI 10.26417/EJEF.V2I2.P86-89
  • [16] Kaur H., 2021, TURK J COMPUT MATH E, V12, P467, DOI [10.17762/turcomat.v12i2.852, DOI 10.17762/TURCOMAT.V12I2.852]
  • [17] A Blockchain Decentralized Public Key Infrastructure Model
    Konoplev, A. S.
    Busygin, A. G.
    Zegzhda, D. P.
    [J]. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2018, 52 (08) : 1017 - 1021
  • [18] Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher Precision and Faster Verification
    Li, Jianlin
    Liu, Jiangchao
    Yang, Pengfei
    Chen, Liqian
    Huang, Xiaowei
    Zhang, Lijun
    [J]. STATIC ANALYSIS (SAS 2019), 2019, 11822 : 296 - 319
  • [19] Blockchain-based public auditing for big data in cloud storage
    Li, Jiaxing
    Wu, Jigang
    Jiang, Guiyuan
    Srikanthan, Thambipillai
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2020, 57 (06)
  • [20] Liskov M., 2005, SCIENTIST, V3788, DOI [10.1007/11593447_10, DOI 10.1007/11593447_10]
1234