Evaluation Method of Big Data Reliability in Electronic Government

In order to ensure the security of big data in e-government, judging the reliability of the data itself has become an important basic task. This paper focuses on the reliability evaluation of e-government big data, analyzes the limitations of traditional iterative filtering algorithms as the startin...

Full description

Saved in:
Bibliographic Details
Published in2020 International Conference on E-Commerce and Internet Technology (ECIT) pp. 142 - 144
Main Author Fu, Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2020
Subjects
Big Data
Data aggregation point
Filtering algorithms
Internet
Iterative algorithms
Iterative filtering algorithm
Joint attack
Reliability
Resistance
Resists
Online AccessGet full text
DOI10.1109/ECIT50008.2020.00038

Cover

Abstract In order to ensure the security of big data in e-government, judging the reliability of the data itself has become an important basic task. This paper focuses on the reliability evaluation of e-government big data, analyzes the limitations of traditional iterative filtering algorithms as the starting point for research, and concludes that traditional algorithms cannot resist joint attacks. By reforming the traditional algorithm, a new iterative filtering algorithm is proposed. This method has the advantages of data aggregation, resistance to simple attacks and joint attacks, and is an effective method to evaluate the reliability of data.
AbstractList In order to ensure the security of big data in e-government, judging the reliability of the data itself has become an important basic task. This paper focuses on the reliability evaluation of e-government big data, analyzes the limitations of traditional iterative filtering algorithms as the starting point for research, and concludes that traditional algorithms cannot resist joint attacks. By reforming the traditional algorithm, a new iterative filtering algorithm is proposed. This method has the advantages of data aggregation, resistance to simple attacks and joint attacks, and is an effective method to evaluate the reliability of data.
Author Fu, Yu
Author_xml – sequence: 1
  givenname: Yu
  surname: Fu
  fullname: Fu, Yu
  organization: Wuhan Donghu University
BookMark eNotzE1OwzAQQGEjwYIWTgALXyDF45_Gs6QhlEpFSKisq0kyBkupjYKp1NuDBKv3rd5MnKecWIhbUAsAhXdts9k5pZRfaKXV4lfGn4kZ1NqDQ6XtpVi1Rxq_qcSc5DOXjzzIHOQqvssHKiRfeYzUxTGWk4xJtiP3Zcop9nKdjzylA6dyJS4CjV98_d-5eHtsd81TtX1Zb5r7bRUBfKkC8LB0bAgJMWAIZC0S1R57X6te61oPXENgExx1qgPrnNdhaTx0NjCaubj5-0Zm3n9O8UDTaY9gLACaH1JGRz4
CODEN IEEPAD
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ECIT50008.2020.00038
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE/IET Electronic Library
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 1728159024
9781728159027
EndPage 144
ExternalDocumentID 9134119
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i118t-f1ed65e3a9a99f9ffa449aa789c870c2272de71fe3f5ab0b145582f6381b4fe93
IEDL.DBID RIE
IngestDate Thu Jun 29 18:37:47 EDT 2023
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i118t-f1ed65e3a9a99f9ffa449aa789c870c2272de71fe3f5ab0b145582f6381b4fe93
PageCount 3
ParticipantIDs ieee_primary_9134119
PublicationCentury 2000
PublicationDate 2020-Apr
PublicationDateYYYYMMDD 2020-04-01
PublicationDate_xml – month: 04
  year: 2020
  text: 2020-Apr
PublicationDecade 2020
PublicationTitle 2020 International Conference on E-Commerce and Internet Technology (ECIT)
PublicationTitleAbbrev ECIT
PublicationYear 2020
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.7277194
Snippet In order to ensure the security of big data in e-government, judging the reliability of the data itself has become an important basic task. This paper focuses...
SourceID ieee
SourceType Publisher
StartPage 142
SubjectTerms Big Data
Data aggregation point
Filtering algorithms
Internet
Iterative algorithms
Iterative filtering algorithm
Joint attack
Reliability
Resistance
Resists
Title Evaluation Method of Big Data Reliability in Electronic Government
URI https://ieeexplore.ieee.org/document/9134119
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3LS8MwGA9zJ08qm_gmB492a9Kkba6bHVOYeNhgt5HXJ0PoRLqD_vXma2cn4sFbCCEPPsKXx-9ByG2qhE0SLiOdJS4SMmORYWgZFlqnTgrHoUZbPKXThXhcymWH3LVcGO99DT7zAyzWf_luY7f4VDbEX2KGGp8H4eLWcLV2bDgWq2ExfpijvD8CtjgCtmIknfzwTKlTxuSIzL4Ha5Air4NtZQb285cO439nc0z6e3IefW7Tzgnp-LJHRkWr2k1ntSk03QAdrV_ova40ReBxI8j9QdclLVrvG7r32u2TxaSYj6fRzh4hWodbQRUB8y6VPtFKKwUKQAuhtM5yZcMmtJxn3PmMgU9AahMblCTPOYQNx4wAr5JT0i03pT8j1OXSqRiUU5aLcCYwEHrI05DLfWwN8HPSw_Wv3hoFjNVu6Rd_V1-SQ4xAg2-5It3qfeuvQ-quzE0dsy_3W5pG
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3LT8IwHP6F4EFPasD4tgePDtau3dYrOAIKxAMk3EifhpgMYsZB_3rbDYcxHrw1TdOuaZqvXb8HwH3MqYoiwgKRRDqgLMGBxD4yzLWONaOa2JJtMY2Hc_q0YIsGPNRaGGNMST4zHV8s3_L1Wm39r7KufyXG3uPzwOE-w5Vaa6eHwyHvZv3RzBv8e8oW8ZSt0MtOfqSmlKAxOIbJ93AVV-Stsy1kR33-cmL87_ecQHsvz0MvNfCcQsPkLehltW83mpSx0GhtUW_1ih5FIZCnHleW3B9olaOsTr9B-7TdNswH2aw_DHYBCcHK3QuKwGKjY2YiwQXnllsrKOVCJClXbhsqQhKiTYKtiSwTMpTelDwl1m05LKk1PDqDZr7OzTkgnTLNQ8s1V4S6U4G0roc0dmhuQiUtuYCWn_9yU3lgLHdTv_y7-g4Oh7PJeDkeTZ-v4MivRsV2uYZm8b41Nw7IC3lbrt8XNaqdjw
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2020+International+Conference+on+E-Commerce+and+Internet+Technology+%28ECIT%29&rft.atitle=Evaluation+Method+of+Big+Data+Reliability+in+Electronic+Government&rft.au=Fu%2C+Yu&rft.date=2020-04-01&rft.pub=IEEE&rft.spage=142&rft.epage=144&rft_id=info:doi/10.1109%2FECIT50008.2020.00038&rft.externalDocID=9134119