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AKILLI EV SİSTEMLERİNDE KUANTUM ANAHTAR DAĞITIMI

Year 2023, , 932 - 942, 03.12.2023
https://doi.org/10.17780/ksujes.1325805

Abstract

Son yıllarda, internetin yaygın kullanımının artmasıyla birlikte kullanım alanları ve kullanıcı sayısı hızla artış göstermektedir. Teknolojik ilerlemeler ve yaşamı kolaylaştırma amacıyla yapılan çalışmalar, birçok sektörde yenilik ve dönüşümü beraberinde getirmektedir. Bu yenilikçi yaklaşımlardan biri de ev sistemlerinde Nesnelerin İnterneti (IoT) kullanımıdır. IoT kavramı, nesnelerin internet üzerinden birbirleriyle iletişim kurabilme yeteneğini ifade eder. Akıllı ev sistemleri, farklı cihazların bir araya gelerek etkileşim içinde çalıştığı ve uzaktan kontrol edilebildiği sistemler olarak öne çıkar. Bu iletişim ve entegrasyon çeşitli avantajlar sunarken, aynı zamanda güvenlik risklerini de beraberinde getirmektedir. IoT sistemlerinde güvenlik sağlanması temelde gizlilik, bütünlük ve kimlik doğrulama gibi hedefleri içerir. Bu çalışmada, akıllı ev sistemlerinde gateway ile bulut arasında iletilen verilerin şifrelenmesinde kullanılan anahtarın B92 Kuantum Anahtar Dağıtım protokolü ile nasıl güçlendirilebileceği bir senaryo üzerinden gerçekleştirilmektedir. Kuantum Anahtar Dağıtım protokolünün gizlilik sağlamadaki etkisi ve ortadaki adam saldırılarına karşı sunduğu avantajlar bu çalışmada vurgulanmaktadır.

References

  • Al-Mohammed, H. A., Al-Ali, A., Yaacoub, E., Abualsaud, K., & Khattab, T. (2021a). Detecting Attackers during Quantum Key Distribution in IoT Networks using Neural Networks. Paper presented at the 2021 IEEE Globecom Workshops (GC Wkshps).
  • Al-Mohammed, H. A., Al-Ali, A., Yaacoub, E., Qidwai, U., Abualsaud, K., Rzewuski, S., & Flizikowski, A. (2021b). Machine learning techniques for detecting attackers during quantum key distribution in IoT networks with application to railway scenarios. IEEE Access, 9, 136994-137004.
  • Anghel, C., Istrate, A., & Vlase, M. (2022). A Comparison of Several Implementations of B92 Quantum Key Distribution Protocol. Paper presented at the 2022 26th International Conference on System Theory, Control and Computing (ICSTCC).
  • Elboukhari, M., Azizi, M., & Azizi, A. Achieving unconditional security by quantum cryptography. Intelligent Communication System, AL-Dahoud Ali, Walid A. Salameh, Linda Smail (Eds), 36-61.
  • Fernández-Caramés, T. M. (2019). From pre-quantum to post-quantum IoT security: A survey on quantum-resistant cryptosystems for the Internet of Things. IEEE Internet of Things Journal, 7(7), 6457-6480.
  • Gopinath, N., & Shyry, S. P. (2022a). Enhancing the cloud security using side channel attack free QKD with entangled fuzzy logic. Journal of Intelligent & Fuzzy Systems(Preprint), 1-11.
  • Gopinath, N., & Shyry, S. P. (2022b). Secured: quantum key distribution (SQKD) for solving side-channel attack to enhance security, based on shifting and binary conversion for securing data (SBSD) frameworks. Soft Computing, 1-8.
  • Gümüş, E. (2011). Kuantum kriptografi ve anahtar aağıtım protokolleri. Akademik Bilişim.
  • Hong, K. W., Foong, O.-M., & Low, T. J. (2016). Challenges in quantum key distribution: A review. Paper presented at the Proceedings of the 4th International Conference on Information and Network Security.
  • Kuppam, S. (2016). Modelling and Analysis of Quantum Key Distribution Protocols, BB84 and B92, in Communicating Quantum Processes (CQP) language and Analysing in PRISM. arXiv preprint arXiv:1612.03706.
  • Malik, P. (2021). A Light-based Interpretation of Schrodinger's Wave Equation and Heisenberg's Uncertainty Principle with Implications on Quantum Computation. Paper presented at the 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).
  • Meng, X., Yu, X., Chen, W., Zhao, Y., & Zhang, J. (2020). Residual-adaptive key provisioning in quantum-key-distribution enhanced internet of things (q-iot). Paper presented at the 2020 International Wireless Communications and Mobile Computing (IWCMC).
  • Pham, T. A., & Dang, N. T. (2022). Quantum Key Distribution: A Security Solution for 5G-based IoT Networks. Paper presented at the 2022 International Conference on Advanced Technologies for Communications (ATC).
  • Qiao, H., & Chen, X.-y. (2009). Simulation of BB84 Quantum Key Distribution in depolarizing channel. Paper presented at the Proceedings of 14th Youth Conference on Communication.
  • Sasikumar, S., Sundar, K., Jayakumar, C., Obaidat, M. S., Stephan, T., & Hsiao, K.-F. (2022). Modeling and simulation of a novel secure quantum key distribution (SQKD) for ensuring data security in cloud environment. Simulation Modelling Practice and Theory, 121, 102651.
  • Scully, P. Understanding IoT Security – Part 1 of 3: IoT Security Architecture on the Device and Communication Layers. Retrieved from https://iot-analytics.com/understanding-iot-security-part-1-iot-security-architecture/ Accessed 20.06.23.
  • Stallings, W., & Brown, L. (2015). Computer security principles and practice (3 ed.). United States of America: Pearson, (Chapter 2).
  • Toyran, M. (2003). Kuantum Kriptografi. (Yüksek Lisans Yüksek Lisans). İstanbul Teknik Üniversitesi, İstanbul. Wang, L.-J., Zhou, Y.-Y., Yin, J.-M., & Chen, Q. (2022). Authentication of quantum key distribution with post-quantum cryptography and replay attacks. arXiv preprint arXiv:2206.01164.
  • Xie, X., & Chen, G.-L. (2022). Feasibility Analysis of Quantum Key Distribution Technology in Unique Code Application. Paper presented at the 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP).
  • Yang, X., Jiao, J., Shi, Y., & Liu, Y. (2019). Modeling and Security Analysis Method of Quantum Key Distribution Protocol Based on Colored Petri Nets. Paper presented at the 2019 IEEE 19th International Conference on Communication Technology (ICCT).
  • Zisu, L. (2019). A Method to Improve the BB84 Protocol. Scientific Bulletin'Mircea cel Batran'Naval Academy, 22(1).

QUANTUM KEY DISTRIBUTION IN SMART HOME SYSTEMS

Year 2023, , 932 - 942, 03.12.2023
https://doi.org/10.17780/ksujes.1325805

Abstract

In recent years, with the increase in the widespread use of the internet, the usage areas and the number of users have increased rapidly. Technological advances and efforts to make life easier bring innovation and transformation in many sectors. One of these innovative approaches is the use of Internet of Things (IoT) in home systems. The concept of IoT refers to the ability of objects to communicate with each other over the internet. Smart home systems stand out as systems where different devices come together work in interaction and can be controlled remotely. While this communication and integration offers various advantages, it also brings security risks. Ensuring security in IoT systems basically includes objectives such as confidentiality, integrity, and authentication. In this study, how the key used in the encryption of data transmitted between the gateway and the cloud in smart home systems can be strengthened with the B92 Quantum Key Distribution protocol is implemented through a scenario. The effect of the Quantum Key Distribution protocol in providing privacy and its advantages against man-in-the-middle attacks are emphasized in this study.

References

  • Al-Mohammed, H. A., Al-Ali, A., Yaacoub, E., Abualsaud, K., & Khattab, T. (2021a). Detecting Attackers during Quantum Key Distribution in IoT Networks using Neural Networks. Paper presented at the 2021 IEEE Globecom Workshops (GC Wkshps).
  • Al-Mohammed, H. A., Al-Ali, A., Yaacoub, E., Qidwai, U., Abualsaud, K., Rzewuski, S., & Flizikowski, A. (2021b). Machine learning techniques for detecting attackers during quantum key distribution in IoT networks with application to railway scenarios. IEEE Access, 9, 136994-137004.
  • Anghel, C., Istrate, A., & Vlase, M. (2022). A Comparison of Several Implementations of B92 Quantum Key Distribution Protocol. Paper presented at the 2022 26th International Conference on System Theory, Control and Computing (ICSTCC).
  • Elboukhari, M., Azizi, M., & Azizi, A. Achieving unconditional security by quantum cryptography. Intelligent Communication System, AL-Dahoud Ali, Walid A. Salameh, Linda Smail (Eds), 36-61.
  • Fernández-Caramés, T. M. (2019). From pre-quantum to post-quantum IoT security: A survey on quantum-resistant cryptosystems for the Internet of Things. IEEE Internet of Things Journal, 7(7), 6457-6480.
  • Gopinath, N., & Shyry, S. P. (2022a). Enhancing the cloud security using side channel attack free QKD with entangled fuzzy logic. Journal of Intelligent & Fuzzy Systems(Preprint), 1-11.
  • Gopinath, N., & Shyry, S. P. (2022b). Secured: quantum key distribution (SQKD) for solving side-channel attack to enhance security, based on shifting and binary conversion for securing data (SBSD) frameworks. Soft Computing, 1-8.
  • Gümüş, E. (2011). Kuantum kriptografi ve anahtar aağıtım protokolleri. Akademik Bilişim.
  • Hong, K. W., Foong, O.-M., & Low, T. J. (2016). Challenges in quantum key distribution: A review. Paper presented at the Proceedings of the 4th International Conference on Information and Network Security.
  • Kuppam, S. (2016). Modelling and Analysis of Quantum Key Distribution Protocols, BB84 and B92, in Communicating Quantum Processes (CQP) language and Analysing in PRISM. arXiv preprint arXiv:1612.03706.
  • Malik, P. (2021). A Light-based Interpretation of Schrodinger's Wave Equation and Heisenberg's Uncertainty Principle with Implications on Quantum Computation. Paper presented at the 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).
  • Meng, X., Yu, X., Chen, W., Zhao, Y., & Zhang, J. (2020). Residual-adaptive key provisioning in quantum-key-distribution enhanced internet of things (q-iot). Paper presented at the 2020 International Wireless Communications and Mobile Computing (IWCMC).
  • Pham, T. A., & Dang, N. T. (2022). Quantum Key Distribution: A Security Solution for 5G-based IoT Networks. Paper presented at the 2022 International Conference on Advanced Technologies for Communications (ATC).
  • Qiao, H., & Chen, X.-y. (2009). Simulation of BB84 Quantum Key Distribution in depolarizing channel. Paper presented at the Proceedings of 14th Youth Conference on Communication.
  • Sasikumar, S., Sundar, K., Jayakumar, C., Obaidat, M. S., Stephan, T., & Hsiao, K.-F. (2022). Modeling and simulation of a novel secure quantum key distribution (SQKD) for ensuring data security in cloud environment. Simulation Modelling Practice and Theory, 121, 102651.
  • Scully, P. Understanding IoT Security – Part 1 of 3: IoT Security Architecture on the Device and Communication Layers. Retrieved from https://iot-analytics.com/understanding-iot-security-part-1-iot-security-architecture/ Accessed 20.06.23.
  • Stallings, W., & Brown, L. (2015). Computer security principles and practice (3 ed.). United States of America: Pearson, (Chapter 2).
  • Toyran, M. (2003). Kuantum Kriptografi. (Yüksek Lisans Yüksek Lisans). İstanbul Teknik Üniversitesi, İstanbul. Wang, L.-J., Zhou, Y.-Y., Yin, J.-M., & Chen, Q. (2022). Authentication of quantum key distribution with post-quantum cryptography and replay attacks. arXiv preprint arXiv:2206.01164.
  • Xie, X., & Chen, G.-L. (2022). Feasibility Analysis of Quantum Key Distribution Technology in Unique Code Application. Paper presented at the 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP).
  • Yang, X., Jiao, J., Shi, Y., & Liu, Y. (2019). Modeling and Security Analysis Method of Quantum Key Distribution Protocol Based on Colored Petri Nets. Paper presented at the 2019 IEEE 19th International Conference on Communication Technology (ICCT).
  • Zisu, L. (2019). A Method to Improve the BB84 Protocol. Scientific Bulletin'Mircea cel Batran'Naval Academy, 22(1).
There are 21 citations in total.

Details

Primary Language English
Subjects Networking and Communications, Information Security and Cryptology
Journal Section Computer Engineering
Authors

Nurcihan Dere 0009-0009-6072-6990

Eyüp Emre Ülkü 0000-0002-1985-6461

Publication Date December 3, 2023
Submission Date July 11, 2023
Published in Issue Year 2023

Cite

APA Dere, N., & Ülkü, E. E. (2023). QUANTUM KEY DISTRIBUTION IN SMART HOME SYSTEMS. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 26(4), 932-942. https://doi.org/10.17780/ksujes.1325805