journal article·2025-03-11Open access

Deterministic Systems for Cryptographic Primitives Used in Security Models in Particular IoT Configurations

Dana Simian, Oana-Adriana Ticleanu, Nicolae Constantinescu

Applied Sciences· Volume 15· Issue 6

Abstract

Computing systems grouped in subnets use distributed security models, in general, by creating session keys based on the Diffie–Hellman model, and calculating the necessary parameters for this, on each of the systems. In the particular case of a network of devices heterogeneous in terms of computing power, such as IoT, the modeling of a security system of the entire structure will have to take into account the fact that some devices have a very low computing power. In this sense, starting from the study of some general models, used in structures of this type, an integrated structure was developed to secure communications and test certain vulnerable components, to calculate a degree of risk that they are maliciously intended. The system was developed with a customized mathematical model, a scheme for propagation and management of cryptographic parameters and a test in a real environment by creating the algorithmic model and implementing it within a structure of a beneficiary.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Chaos-based Image/Signal Encryption · Cybersecurity and Information Systems · Mathematical Control Systems and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Sciences, Lucian Blaga University of Sibiu, Victoriei Bd., No. 10, 550024 Sibiu, Romania

References (20)

Show source-provided references
1. Agrawal, M., Chang, D., and Kang, J. (2018). Deterministic Authenticated Encryption Scheme for Memory Constrained Devices. Cryptography, 2.10.3390/cryptography2040037 ↗
2. Munshi, A., and Alshawi, B. (2024). Hybrid Encryption Model for Secured Three-Phase Authentication Protocol in IoT. J. Sens. Actuator Netw., 13.10.3390/jsan13040041 ↗
3. Deterministic Public-Key Encryption for Adaptively Chosen Plaintext Distributions
4. Elliptic Curve Cryptosystems-based Date-constrained Hierarchical Key Management Scheme in Internet of Things
5. Novel Method for DNA-Based Elliptic Curve Cryptography for IoT Devices10.4218/etrij.2017-0220 ↗
6. Zhao, X.W., Li, D.X., and Li, H. (2022). Practical Three-Factor Authentication Protocol Based on Elliptic Curve Cryptography for Industrial Internet of Things. Sensors, 22.10.3390/s22197510 ↗
7. Furtak, J. (2020). Cryptographic Keys Generating and Renewing System for IoT Network Nodes-A Concept. Sensors, 20.10.3390/s20175012 ↗
8. Ankele, R., Marksteiner, S., Nahrgang, K., and Vallant, H. (2019, January 26–29). Requirements and Recommendations for IoT/IIoT Models to automate Security Assurance through Threat Modelling, Security Analysis and Penetration Testing. Proceedings of the ARES ′19: Proceedings of the 14th International Conference on Availability, Reliability and Security, Canterbury, UK.10.1145/3339252.3341482 ↗
9. Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations10.1109/COMST.2019.2910750 ↗
10. Liu, A., and Ning, P. (2008, January 22–24). TinyECC: A configurable library for elliptic curve cryptography in wireless sensor networks. Proceedings of the 7th International Symposium on Information Processing Sensor Networks, St. Louis, MO, USA.
11. (2023). Status Report on the Final Round of the NIST Lightweight Cryptography Standardization Process (Standard No. NIST IR 8454).
12. Bogdanov, A., Knezevic, M., Leander, G., Toz, D., Varıcı, K., and Verbauwhede, I. (2011). SPONGENT: A Lightweight Hash Function, LNSC Springer.10.1007/978-3-642-23951-9_21 ↗
13. A model checking-based security analysis framework for IoT systems10.1016/j.hcc.2021.100004 ↗
14. Popescu, T.M., Popescu, A.M., and Prostean, G. (2021). IoT Security Risk Management Strategy Reference Model (IoTSRM2). Future Internet, 13.10.3390/fi13060148 ↗
15. Model-based security testing in IoT systems: A Rapid Review10.1016/j.infsof.2023.107326 ↗
16. A Survey on Lightweight Cryptographic Algorithms in IoT
17. Tanksale, V. (2024). Efficient Elliptic Curve Diffie-Hellman Key Exchange for Resource-Constrained IoT Devices. Electronics, 13.10.3390/electronics13183631 ↗
18. Di Matteo, S., Baldanzi, L., Crocetti, L., Nannipieri, P., Fanucci, L., and Saponara, S. (2021). Secure Elliptic Curve Crypto-Processor for Real-Time IoT Applications. Energies, 14.10.3390/en14154676 ↗
19. Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications
20. Ahmed, A.A., and Ahmed, W.A. (2019). An Effective Multifactor Authentication Mechanism Based on Combiners of Hash Function over Internet of Things. Sensors, 19.10.3390/s19173663 ↗