Security and privacy aspects in MapReduce on clouds: A survey

被引:44
|
作者
Derbeko, Philip [1 ]
Dolev, Shlomi [2 ]
Gudes, Ehud [2 ]
Sharma, Shantanu [2 ]
机构
[1] EMC, Beer Sheva, Israel
[2] Ben Gurion Univ Negev, Dept Comp Sci, IL-84105 Beer Sheva, Israel
基金
以色列科学基金会;
关键词
Cloud computing; Distributed computing; Hadoop; HDFS; Hybrid cloud; Private cloud; Public cloud; MapReduce algorithms; Privacy; Security;
D O I
10.1016/j.cosrev.2016.05.001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
MapReduce is a programming system for distributed processing of large-scale data in an efficient and fault tolerant manner on a private, public, or hybrid cloud. MapReduce is extensively used daily around the world as an efficient distributed computation tool for a large class of problems, e.g., search, clustering, log analysis, different types of join operations, matrix multiplication, pattern matching, and analysis of social networks. Security and privacy of data and MapReduce computations are essential concerns when a MapReduce computation is executed in public or hybrid clouds. In order to execute a MapReduce job in public and hybrid clouds, authentication of mappers-reducers, confidentiality of data-computations, integrity of data-computations, and correctness-freshness of the outputs are required. Satisfying these requirements shields the operation from several types of attacks on data and MapReduce computations. In this paper, we investigate and discuss security and privacy challenges and requirements, considering a variety of adversarial capabilities, and characteristics in the scope of MapReduce. We also provide a review of existing security and privacy protocols for MapReduce and discuss their overhead issues. (C). 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:1 / 28
页数:28
相关论文
共 50 条
  • [31] IDENTITY MANAGEMENT ON BLOCKCHAIN - PRIVACY AND SECURITY ASPECTS
    Panait, Andreea-Elena
    Olimid, Ruxandra F.
    Stefanescu, Alin
    [J]. PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE, 2020, 21 (01): : 45 - 52
  • [32] Security and privacy Aspects for Internet of Things (IoT)
    Bansal, Malti
    Nanda, Marshal
    Husain, Md Nazir
    [J]. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021), 2021, : 199 - 204
  • [33] Supporting the Security Certification and Privacy Level Agreements in the Context of Clouds
    Ahmadian, Amir Shayan
    Coerschulte, Fabian
    Juerjens, Jan
    [J]. BUSINESS MODELING AND SOFTWARE DESIGN, BMSD 2015, 2016, 257 : 80 - 95
  • [34] A survey on security of IoT in the context of eHealth and clouds
    BEN IDA, Imen
    JEMA, Abderrazak, I
    LOUKIL, Adlen
    [J]. PROCEEDINGS OF 2016 11TH INTERNATIONAL DESIGN & TEST SYMPOSIUM (IDT), 2016, : 25 - 30
  • [35] Selected Cloud Security Patterns to Improve End User Security and Privacy in Public Clouds
    Langer, Thomas
    Poehls, Henrich C.
    Ghernaouti, Solange
    [J]. PRIVACY TECHNOLOGIES AND POLICY, APF 2016, 2016, 9857 : 115 - 132
  • [36] Decentralized Federated Learning: A Survey on Security and Privacy
    Hallaji, Ehsan
    Razavi-Far, Roozbeh
    Saif, Mehrdad
    Wang, Boyu
    Yang, Qiang
    [J]. IEEE TRANSACTIONS ON BIG DATA, 2024, 10 (02) : 194 - 213
  • [37] A comprehensive survey on security, privacy and authentication in blockchain
    Alghamdi, Turki Ali
    Javaid, Nadeem
    [J]. INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES, 2023, 19 (03) : 259 - 286
  • [38] A Survey of Big Data Security and Privacy Preserving
    Fang, Wei
    Wen, Xue Zhi
    Zheng, Yu
    Zhou, Ming
    [J]. IETE TECHNICAL REVIEW, 2017, 34 (05) : 544 - 560
  • [39] Security and Privacy Issues of Fog Computing: A Survey
    Yi, Shanhe
    Qin, Zhengrui
    Li, Qun
    [J]. WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, 2015, 9204 : 685 - 695
  • [40] Privacy and Security Issues in Deep Learning: A Survey
    Liu, Ximeng
    Xie, Lehui
    Wang, Yaopeng
    Zou, Jian
    Xiong, Jinbo
    Ying, Zuobin
    Vasilakos, Athanasios V.
    [J]. IEEE ACCESS, 2021, 9 : 4566 - 4593