Journals / European Journal of Technique / 2020 / Cilt: 10 - Sayı: 2

SECURITY IMPROVEMENTS OF INTERNET OF THINGS SYSTEMS

Pages
476–488
Publication Date
2022-10-12
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Simulation results show that the performance of LSEA based IoT scheme achieves acceptable security level in terms of histogram, entropy and correlation performances as well as it has a good execution time performance for different types of messages.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, we discuss the security of the Internet of Things (IoT) which needs to utilize particular algorithms in order to offer low power consumption and a long lifespan, along with other parameters such as strong immunity against attacks, lower execution time and acceptable performance.
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Key Findings & Data:Simulation results show that the performance of LSEA based IoT scheme achieves acceptable security level in terms of histogram, entropy and correlation performances as well as it has a good execution time performance for different types of messages.
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Conclusion & Impact:Based on this analysis, it can be concluded that the proposed LSEA-IOT is a promising algorithm and can be considered as an appropriate nominee to be utilized for IoT devices and it can be used for real-time applications.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, we discuss the security of the Internet of Things (IoT) which needs to utilize particular algorithms in order to offer low power consumption and a long lifespan, along with other parameters such as strong immunity against attacks, lower execution time and acceptable performance. The present work considers a simple lightweight security encryption algorithm (LSEA) to be compatible with IoT systems, named (LSEA-IoT) for improving the security issue in IoT devices. The new LSEA-IoT scheme has be implemented for encrypting texts and images data and several tests such as visual checking, histogram diagrams, entropy and correlation analyses are carried out in order to ensure the suitability of the LSEA algorithm. Simulation results show that the performance of LSEA based IoT scheme achieves acceptable security level in terms of histogram, entropy and correlation performances as well as it has a good execution time performance for different types of messages. Based on this analysis, it can be concluded that the proposed LSEA-IOT is a promising algorithm and can be considered as an appropriate nominee to be utilized for IoT devices and it can be used for real-time applications.

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Cite This Article

KURNAZ, S., ABDULKAFI, F. A., ABDULKAFI, A. A. (2022). SECURITY IMPROVEMENTS OF INTERNET OF THINGS SYSTEMS. European Journal of Technique, Cilt: 10 - Sayı: 2, 476–488. https://ajindex.com/articles/512032

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References (13)

  1. https://www.windpowerengineering.com/business-news-projects/global-iot-market-to-reach318-billion-by-2023-says-globaldata/, 2018
  2. Tuen, Christian Dancke. "Security in Internet of Things Systems." MSc thesis, NTNU, 2015
  3. Yousefi, Afsoon, and Seyed Mahdi Jameii. (2017). Improving the security of internet of things using encryption algorithms. In 2017 Int. Conference on IoT and Application (ICIOT), 1-5
  4. Zhengqiu, H, Xue F, Liu W, He R, and Xu Z. (2016). Research of Secure Service Composition Based on Semantic Security Policy. IEEE International Conference on Internet of Things (iThings) and Green Computing and Communications (GreenCom) and Cyber, Physical and Social Computing (CPSCom) and Smart Data (SmartData), 246-251
  5. Moh, Melody, and Robinson Raju. (2018). Machine Learning Techniques for Security of Internet of Things (IoT) and Fog Computing Systems. IEEE International Conference on High Performance Computing & Simulation (HPCS), 709-715
  6. Sönmez, Yasin, Hüseyin Kutlu and Engin Avci. (2019). A novel approach in analyzing traffic flow by extreme learning machine method. Tehnički vjesnik, 26(1), 107-113
  7. Mosenia A. and Niraj K. Jha. (2016). A comprehensive study of security of internet-of-things. IEEE Transactions on Emerging Topics in Computing, 5(4), 586-602. [8]Sharma, V., You, I., Andersson, et. al. (2020). Security, privacy and trust for smart mobileInternet of Things (M-IoT):A survey. IEEE Access, 8(2020), 167123-167163
  8. Su, X., Wang, Z., Liu, X., Choi, C. and Choi, D. (2018). Study to improve security for IoT smart device controller: drawbacks and countermeasures. Security and Communication Networks
  9. F. Olivier, G. Carlos, N.Florent. (2015). New Security Architecture for IoT Network. Procedia Computer Science, 52, 1028-1033
  10. M.Xin, H.China. )2015). A Mixed Encryption Algorithm Used in Internet of Things Security Transmission System. IEEE International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, Xian, 62-65
  11. H.Shafagh, A.Hithnawi. (2014). Poster Abstract: Security Comes First, A Public key Cryptography Framework for the Internet of Things. IEEE International Conference on Distributed Computing In Sensor Systems (DCOSS), Marina Del Rey, CA, 135-136
  12. A.F.Skarmeta, J., M M. (2014). A decentralized approach for Security and Privacy challenges in the Internet of Things. IEEE Word Forum on Internet of Things (WF-IOT), Seoul, 67-72
  13. N.Hong, Z.Xuefeng. (2013). A Security F