Big IoT Data Indexing: Architecture, Techniques and Open Research Challenges

Mohamed Amine Ferrag; Zineddine Kouahla; Hamid Seridi; Muhammet Kurulay

doi:10.1109/ICNAS.2019.8807848

Big IoT Data Indexing: Architecture, Techniques and Open Research Challenges

Mohamed Amine Ferrag^*, Zineddine Kouahla, Hamid Seridi, Muhammet Kurulay

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

As the miniaturization of Internet of Things (IoT) devices has increased, significant quantities of data have been developed in the last decade.This explosion has created the need to manage these volumes of data to make the most of this mass of information for an ever-growing audience. Effective indexing and searching in large data collections is therefore a very topical and urgent issue. Many data, IoT and indexing solutions have given users valuable information about the large volumes of information produced by IoT devices. However, these solutions are still in their initial phases and there is no exhaustive study in the field. This article examines advanced research efforts to index large data on IoT. In addition, this survey shows the study of IoT data on a large scale. In addition, the main types, methods and technologies of IoT data analysis for large-scale data mining are discussed. These include open research challenges, such as privacy protection and large-scale data mining.

Original language	English
Title of host publication	Proceedings - ICNAS 2019
Subtitle of host publication	4th International Conference on Networking and Advanced Systems
Editors	Makhlouf Derdour, Marwa Ahmim, Amira Bendjedou
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728126425
DOIs	https://doi.org/10.1109/ICNAS.2019.8807848
Publication status	Published - Jun 2019
Externally published	Yes
Event	4th International Conference on Networking and Advanced Systems, ICNAS 2019 - Annaba, Algeria Duration: 26 Jun 2019 → 27 Jun 2019

Publication series

Name	Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems

Conference

Conference	4th International Conference on Networking and Advanced Systems, ICNAS 2019
Country/Territory	Algeria
City	Annaba
Period	26/06/19 → 27/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Big IoT Data
Indexing
Information Retrieval
Query

Access to Document

10.1109/ICNAS.2019.8807848

Cite this

Ferrag, M. A., Kouahla, Z., Seridi, H., & Kurulay, M. (2019). Big IoT Data Indexing: Architecture, Techniques and Open Research Challenges. In M. Derdour, M. Ahmim, & A. Bendjedou (Eds.), Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems Article 8807848 (Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNAS.2019.8807848

Ferrag, Mohamed Amine ; Kouahla, Zineddine ; Seridi, Hamid et al. / Big IoT Data Indexing : Architecture, Techniques and Open Research Challenges. Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems. editor / Makhlouf Derdour ; Marwa Ahmim ; Amira Bendjedou. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems).

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abstract = "As the miniaturization of Internet of Things (IoT) devices has increased, significant quantities of data have been developed in the last decade.This explosion has created the need to manage these volumes of data to make the most of this mass of information for an ever-growing audience. Effective indexing and searching in large data collections is therefore a very topical and urgent issue. Many data, IoT and indexing solutions have given users valuable information about the large volumes of information produced by IoT devices. However, these solutions are still in their initial phases and there is no exhaustive study in the field. This article examines advanced research efforts to index large data on IoT. In addition, this survey shows the study of IoT data on a large scale. In addition, the main types, methods and technologies of IoT data analysis for large-scale data mining are discussed. These include open research challenges, such as privacy protection and large-scale data mining.",

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author = "Ferrag, {Mohamed Amine} and Zineddine Kouahla and Hamid Seridi and Muhammet Kurulay",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th International Conference on Networking and Advanced Systems, ICNAS 2019 ; Conference date: 26-06-2019 Through 27-06-2019",

year = "2019",

month = jun,

doi = "10.1109/ICNAS.2019.8807848",

language = "English",

series = "Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems",

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Ferrag, MA, Kouahla, Z, Seridi, H & Kurulay, M 2019, Big IoT Data Indexing: Architecture, Techniques and Open Research Challenges. in M Derdour, M Ahmim & A Bendjedou (eds), Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems., 8807848, Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Networking and Advanced Systems, ICNAS 2019, Annaba, Algeria, 26/06/19. https://doi.org/10.1109/ICNAS.2019.8807848

Big IoT Data Indexing: Architecture, Techniques and Open Research Challenges. / Ferrag, Mohamed Amine; Kouahla, Zineddine; Seridi, Hamid et al.
Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems. ed. / Makhlouf Derdour; Marwa Ahmim; Amira Bendjedou. Institute of Electrical and Electronics Engineers Inc., 2019. 8807848 (Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ferrag, Mohamed Amine

AU - Kouahla, Zineddine

AU - Seridi, Hamid

AU - Kurulay, Muhammet

PY - 2019/6

Y1 - 2019/6

N2 - As the miniaturization of Internet of Things (IoT) devices has increased, significant quantities of data have been developed in the last decade.This explosion has created the need to manage these volumes of data to make the most of this mass of information for an ever-growing audience. Effective indexing and searching in large data collections is therefore a very topical and urgent issue. Many data, IoT and indexing solutions have given users valuable information about the large volumes of information produced by IoT devices. However, these solutions are still in their initial phases and there is no exhaustive study in the field. This article examines advanced research efforts to index large data on IoT. In addition, this survey shows the study of IoT data on a large scale. In addition, the main types, methods and technologies of IoT data analysis for large-scale data mining are discussed. These include open research challenges, such as privacy protection and large-scale data mining.

AB - As the miniaturization of Internet of Things (IoT) devices has increased, significant quantities of data have been developed in the last decade.This explosion has created the need to manage these volumes of data to make the most of this mass of information for an ever-growing audience. Effective indexing and searching in large data collections is therefore a very topical and urgent issue. Many data, IoT and indexing solutions have given users valuable information about the large volumes of information produced by IoT devices. However, these solutions are still in their initial phases and there is no exhaustive study in the field. This article examines advanced research efforts to index large data on IoT. In addition, this survey shows the study of IoT data on a large scale. In addition, the main types, methods and technologies of IoT data analysis for large-scale data mining are discussed. These include open research challenges, such as privacy protection and large-scale data mining.

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KW - Query

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M3 - Conference contribution

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ER -

Ferrag MA, Kouahla Z, Seridi H, Kurulay M. Big IoT Data Indexing: Architecture, Techniques and Open Research Challenges. In Derdour M, Ahmim M, Bendjedou A, editors, Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems. Institute of Electrical and Electronics Engineers Inc. 2019. 8807848. (Proceedings - ICNAS 2019: 4th International Conference on Networking and Advanced Systems). doi: 10.1109/ICNAS.2019.8807848

Big IoT Data Indexing: Architecture, Techniques and Open Research Challenges

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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