Proceedings of the Multimedia University Engineering Conference (MECON 2022)

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Analysis of Security Threats on Data Centre in Internet of Things

Authors
Lee Loo Chuan1, Mardeni Roslee1, *, Pang Wai Leong1, Indrarini Dyah Irawati2
1Faculty of Engineering, Multimedia University, 63100, Cyberjaya, Selangor, Malaysia
2Applied Science Faculty, Telkom University, Bandung, 40257, Indonesia
*Corresponding author. Email: mardeni.roslee@mmu.edu.my
Corresponding Author
Mardeni Roslee
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-082-4_33How to use a DOI?
Keywords
Wireless Networks; Internet of Things; 5G Communication
Abstract

The recent surge in adoption of the Internet of Things (IoT) has accelerated integration and Internet access beyond smart devices, which in turn has made the Internet more and more pervasive in our daily lives and IoT devices open up endless new possibilities and simplify lives. Unfortunately, the current system able to spy on users of unprotected IoT systems. Thus, the predictive models taught by machine learning algorithms is demanded and have great potential to alleviate some of these problems as the looming crisis deepens. In this work, a lightweight encryption technique (SIT) to secure an IoT is proposed. It is a 64-bit block cypher that encrypts data with a 64-bit key. The proposed algorithm's architecture is a hybrid type and delivers significant security in just five encryption cycles in simulations. The technique is implemented in hardware on a low-cost 8-bit microcontroller. The impact of an intense attack and buffer size are discussed in this work to analyze the Distributed Denial-of-Service (DDoS) attacks on a server. Finally, the proposed mitigation approached shows a better performance according to the energy consumption level during the attacks and the mitigation applied. Thus, the DDoS attacks successfully being reduced.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Multimedia University Engineering Conference (MECON 2022)
Series
Advances in Engineering Research
Publication Date
23 December 2022
ISBN
978-94-6463-082-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-082-4_33How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Lee Loo Chuan
AU  - Mardeni Roslee
AU  - Pang Wai Leong
AU  - Indrarini Dyah Irawati
PY  - 2022
DA  - 2022/12/23
TI  - Analysis of Security Threats on Data Centre in Internet of Things
BT  - Proceedings of the Multimedia University Engineering Conference (MECON 2022)
PB  - Atlantis Press
SP  - 377
EP  - 389
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-082-4_33
DO  - 10.2991/978-94-6463-082-4_33
ID  - Chuan2022
ER  -