research-article

Security Challenges for Big Data and IoT

Authors:

Sitalakshmi Venkatraman,

Anthony Overmars,

Samuel KaspiAuthors Info & Claims

BDET '20: Proceedings of the 2020 2nd International Conference on Big Data Engineering and Technology

Pages 1 - 6

https://doi.org/10.1145/3378904.3378907

Published: 09 April 2020 Publication History

Abstract

Recently, two terms, namely Big Data and Internet of Things (IoT) have gained popularity individually. However, their interconnections are not fully explored and understood. It is expected that the fusion of Big Data and IoT would create many complex systems for smart cities. While the data from IoT lies in Big Data, the scale of operations are completely different in terms of providing the required real-time analytics for such smart systems. Even though NoSQL databases and other next generation solutions could be deployed to achieve real-time responses, the major security challenges need to be understood as mission critical and sensitive data intertwines Big Data and IoT. In this paper, we identify the security challenges shared by the closely-knit Big Data and IoT in three main risk areas: i) NoSQL security vulnerabilities, ii) mobile IoT (M-IoT) security and privacy constraints and iii) encryption key security threats. We perform a comparative study of security vulnerabilities of NoSQL databases and identify the security and privacy constraints of M-IoT networks. Encryption key attacks for resource constrained IoT devices are also illustrated mathematically. Overall, this paper explores new research directions in these prime areas of security and privacy that would result in solution opportunities for a meaningful fusion of Big Data and IoT for a smart environment.

References

[1]

Silva, C.R., and Rodrigues E.M.T. 2017. Privacy In Big Data: Overview And Research Agenda, Electronic Journal of Management & System, 12(4), 491--505.

[2]

Cai, H., Xu, B., Jiang, L., and Vasilakos, A.V. 2016. IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges. IEEE Internet of Things Journal, 4, 75--87.

[3]

Jung, J. J. 2017. Computational Collective Intelligence with Big Data: Challenges and Opportunities. Future Generation Computer Systems, 66, 87--88.

Digital Library

[4]

Lv, Z., Song, H., Basanta-Val, P., Steed, A., and Jo, M. 2017. Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics. IEEE Transactions on Industrial Informatics, 13, 1891--1899.

[5]

Sun, Y., Song, H., Jara, A.J. and Bie R. 2016. Internet of things and big data analytics for smart and connected communities. IEEE Access. 4, 766--773.

[6]

Kumar, N. Vasilakos, A. V. and Rodrigues, J. J. 2017. A multi-tenant cloud-based DC nano grid for self-sustained smart buildings in smart cities, IEEE Communications Magazine, 55(3), 14--21.

Digital Library

[7]

Hung, M. 2017. IoT's Challenges and Opportunities in 2017: A Gartner Trend Insight Report, Gartner Report, USA.

[8]

Deka G. C. 2019. Cloud Database Security Issues and Challenges. In I. Management Association (Ed.), Cloud Security: Concepts, Methodologies, Tools, and Applications (pp. 165--187). Hershey, PA: IGI Global.

[9]

Marsh R, Belguith S. and Dargahi T. 2019. IoT Database Forensics: An Investigation on HarperDB Security. ICFNDS '19 Proceedings of the 3rd International Conference on Future Networks and Distributed Systems, Paris, France.

[10]

Ahmad K., Alam M. S. and Udzir N. 2019. Security of NoSQL Database Against Intruders. Recent Patents on Engineering. 13(1), 5--12.

[11]

Venkatraman S., Fahd S., Kaspi S., and Venkatraman R. 2016. SQL Versus NoSQL Movement with Big Data Analytics, International Journal of Information Technology and Computer Science, 8(12), 59--66.

[12]

Dadapeer, N.M. Indravasan, & Adarsh G. 2016. A Survey on Security of NoSQL Databases, International Journal of Innovative Research in Computer and Communication Engineering, 4(4), 5249--5254.

[13]

Okman L., Gal-Oz N., Gonen Y., Gudes E. & Abramov J. 2011. Security Issues in NoSQL. TrustCom IEEE Conference on International Conference on Trust, Security and Privacy in Computing and Communications, 7, 541--547.

[14]

Ghazi Y, Masood R., Rauf A., Shibli A., and Hassan O. 2016. DB-SECaaS: a cloud-based protection system for document-oriented NoSQL databases. EURASIP Journal on Information Security, 2016, 1--17.

Digital Library

[15]

NIST, 2018.Big Data Interoperability Framework: Volume 6, Reference Architecture, NIST, USA.

[16]

Kang, Y., Park, I., Rhee, J., & Lee, Y. 2016. MongoDB-Based Repository Design for IoT-Generated RFID/Sensor Big Data. IEEE Sensors Journal, 16, 485--497.

[17]

Kibiwott, K.P., Zhao, Y., Kogo, J., and Zhang, F. 2019. Verifiable fully outsourced attribute-based signcryption system for IoT eHealth big data in cloud computing, Mathematical Biosciences & Engineering, 16(5), 3561--3594.

[18]

Venkatraman, S. and Overmars, A. 2019. New Method of Prime Factorisation-Based Attacks on RSA Authentication in IoT. Cryptography 3(3), 20.

[19]

Beach, C.; Krachunov, S.; Pope, J.; Fafoutis, X.; Piechocki, R.J.; Craddock, I.; Casson, A.J. An ultra low power personalizable wrist worn ECG monitor integrated with IoT infrastructure. IEEE Access 2018, 6, 44010--44021.

[20]

Gomes, T.; Salgado, F.; Pinto, S.; Cabral, J.; Tavares, A. A 6LoWPAN accelerator for Internet of Things endpoint devices. IEEE Internet Things J. 2018, 5, 371--377.

[21]

Li, S.; Da Xu, L.; Zhao, S. 5G internet of things: A survey. J. Ind. Inf. Integr. 2018, 10, 1--9.

[22]

Ahmadi, H.; Arji, G.; Shahmoradi, L.; Safdari, R.; Nilashi, M.; Alizadeh, M. The application of internet of things in healthcare: A systematic literature review and classification. Univer. Access Inf. Soc. 2018, 1--33.

[23]

Mishra, A.K.; Tripathy, A.K.; Puthal, D.; Yang, L.T. Analytical model for Sybil attack phases in internet of things. IEEE Internet Things J. 2019, 6, 379--387.

[24]

Tang, W.; Zhang, K.; Zhang, D.; Ren, J.; Zhang, Y.; Shen, X.S. Fog-Enabled Smart Health: Toward Cooperative and Secure Healthcare Service Provision. IEEE Commun. Mag. 2019, 57, 42--48.

[25]

Stergiou, C.; Psannis, K.E.; Kim, B.G.; Gupta, B. Secure integration of IoT and cloud computing. Future Gener. Comput. Syst. 2018, 78, 964--975.

[26]

Mutlag, A.A.; Ghani, M.K.A.; Arunkumar, N.; Mohamed, M.A.; Mohd, O. Enabling technologies for fog computing in healthcare IoT systems. Future Gener. Comput. Syst. 2019, 90, 62--78.

[27]

You, I.; Leu, F.Y. Comments on "SPAM: A Secure Password Authentication Mechanism for Seamless Handover in Proxy Mobile IPv6 Networks". IEEE Syst. J. 2018, 12, 1038--1041.

Cited By

Saleh SAlansari IHamiaz MEad WTarabishi RFarouk MKhater H(2023)ODCS: On-Demand Hierarchical Consistent Synchronization Approach for the IoTElectronics10.3390/electronics1222470812:22(4708)Online publication date: 20-Nov-2023
https://doi.org/10.3390/electronics12224708
Hacid HAl-Shamaileh OMaamar Z(2022)An exploratory study of rethinking user experience in the internet of thingsComputing10.1007/s00607-022-01111-3105:1(1-12)Online publication date: 5-Aug-2022
https://dl.acm.org/doi/10.1007/s00607-022-01111-3
Huo DCao CLiu PWang YLi MXu Z(2021)Commercial hypervisor-based task sandboxing mechanisms are unsecured? But we can fix it!Journal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2021.102114116:COnline publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1016/j.sysarc.2021.102114
Show More Cited By

Index Terms

Security Challenges for Big Data and IoT
1. Security and privacy
  1. Cryptography
    1. Information-theoretic techniques

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cover image ACM Other conferences

BDET '20: Proceedings of the 2020 2nd International Conference on Big Data Engineering and Technology

January 2020

126 pages

ISBN:9781450376839

DOI:10.1145/3378904

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Natl University of Singapore: National University of Singapore
Southwest Jiaotong University

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Association for Computing Machinery

New York, NY, United States

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Published: 09 April 2020

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BDET 2020: 2020 2nd International Conference on Big Data Engineering and Technology

January 3 - 5, 2020

Singapore, China

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Cited By

Saleh SAlansari IHamiaz MEad WTarabishi RFarouk MKhater H(2023)ODCS: On-Demand Hierarchical Consistent Synchronization Approach for the IoTElectronics10.3390/electronics1222470812:22(4708)Online publication date: 20-Nov-2023
https://doi.org/10.3390/electronics12224708
Hacid HAl-Shamaileh OMaamar Z(2022)An exploratory study of rethinking user experience in the internet of thingsComputing10.1007/s00607-022-01111-3105:1(1-12)Online publication date: 5-Aug-2022
https://dl.acm.org/doi/10.1007/s00607-022-01111-3
Huo DCao CLiu PWang YLi MXu Z(2021)Commercial hypervisor-based task sandboxing mechanisms are unsecured? But we can fix it!Journal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2021.102114116:COnline publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1016/j.sysarc.2021.102114
Li IArbuzov AShilkin VShilkina IBaryshnikova N(2021)Application of Machine Learning Algorithms in Ensuring Information Security of the Internet of Things in Water TransportSafety in Aviation and Space Technologies10.1007/978-3-030-85057-9_45(543-557)Online publication date: 2-Nov-2021
https://doi.org/10.1007/978-3-030-85057-9_45

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