AP14973006 «Investigation of methods of maintaining confidentiality in the process of interaction of the Internet of Things»

Principal researcher: Adamova Aigul Duisenbinovna

Competition name: MSHE RK, Grant funding for young scientists under the Zhas Galym project for 2022-2024 (32 months)

To provide security in Internet of Things interactions by applying privacy-preserving techniques to the wireless sensor network security management of Internet of Things devices; 4 an algorithm for detecting a faulty node will be developed; 5 will propose a methodology and algorithm for predicting the development and criticality assessment of detected attacks in near-real time; 6 will be developed software mock-up will allow to obtain experimental data on the proposed methods and algorithms.

1 Analysis of algorithms for preserving data privacy in the Internet of Things;

2 Development of an Internet of Things interaction model to preserve the confidentiality of the generated data;

3 development of a methodology for aggregation and normalization of data captured from working devices in the IoT, for their pre-processing and systematization;

4 fault node detection for a wireless sensor network based on machine reference vectors

5 development of methods and algorithms for predicting further development and evaluating the criticality of detected attacks in near-real time;

6 development of a software mock-up to test the proposed developments.

1 review and analysis of algorithms that can help preserve data privacy;

2 cryptographic methods will be investigated and a privacy-preserving model of the Internet of Things will be developed;

3 methodological approaches will be developed for a data warehouse that will systematize the representation of big data for further monitoring and security management of Internet of Things devices;

4 an algorithm for detecting a faulty node will be developed;

5 will propose a methodology and algorithm for predicting the development and criticality assessment of detected attacks in near-real time;

6 will be developed software mock-up will allow to obtain experimental data on the proposed methods and algorithms.

Tamara Kokenovna Zhukabaeva

(https://orcid.org/0000-0001-6345-5211 View this author’s profile in ORCID)

Postdoctoral Scientific Advisor. Associate Professor, PhD in Informatics, Computer Science and Management. Dissertation topic: “Development of multilevel cryptographic systems”. She completed an internship in information security at the University of Putra Malaysia (Malaysia, Selangor, Universitа Putra Malaysia). Laureate of the State Scientific Scholarship for Talented Young Scientists – 2015 and the Best University Teacher – 2020. Winner of the Bolashak International Scholarship 2021, University of Lincoln, UK.

Postdoctoral Scientific Advisor has publications in international scientific journals with an impact factor (h-index – 4), such as Lecture Notes in Electrical Engineering, Communications in Computer and Information Science, Indonesian Journal of Electrical Engineering and Computer Science Applied Mathematics and Information Sciences, IEEE Access-Q2, Sensors (Switzerland)-Q1.IOP Conference Series: Materials Science and Engineering, and IEEE conferences.

Postdoctoral Scientific Advisor has acted as a research topic executor in the following projects:

2018-2020 Topic: Development of software and hardware and software for cryptographic protection of information during its transmission and storage in infocommunication systems and general purpose networks. Source of funding: program-targeted funding of the Ministry of Education and Science of the Republic of Kazakhstan.

Work plan Section №1: Analysis of algorithms to preserve data privacy in the Internet of Things

Status: Done

Figure 1. TOP countries with the lowest/highest rate

A review of scientific papers on the study of the Internet of Things interaction architecture in the Web of Science, Scopus, IEEE databases was carried out. The requirements for the security of Internet of things systems associated with vulnerabilities are investigated. The security problems in wireless sensor networks, which are one of the main technologies of the Internet of things, are also considered. A bibliometric analysis of the scientific literature was carried out in order to determine the algorithms used to maintain the confidentiality of data in the Internet of things for further analysis.

Figure 2. Research Methodology

Results. 1 article was published in the publication recommended by CQASE ME RK and one article in the collection of the international conference:

Adamova A., Zhukabaeva T. Hu Wen-Tsen, 2023. Internet of Things: Security and Privacy Standards. Bulletin of ENU. L.N. Gumilyov. Engineering Science and Technology Series (3/2023, in press).

Adamova A., Zhukabaeva T., Mardenov Yu. Machine learning in action: an analysis of its application for fault detection in wireless sensor networks. 2023 IEEE Smart Information Systems and Technologies (SIST) May 4-6, 2023, Astana, Kazakhstan (in press).

Work plan Section №2: Development of an Internet of Things interaction model to preserve the confidentiality of the generated data;

Status: Done

Cryptographic methods have been researched and a model of the Internet of Things with confidentiality has been developed. An analysis of lightweight algorithms for hardware and software implementation is presented, the levels of various data flow architectures in the IoT network are considered, a review of scientific papers is carried out that notes the relevance of ensuring security in the interaction of IoT devices and the development of lightweight cryptography for 2022–2023. A comparative analysis of lightweight algorithms was carried out according to several indicators for hardware implementation, for software implementation with respect to memory size and time delay.

Results. 1 article was published in the publication recommended by CQASE ME RK:

Adamova, A., Т. Zhukabayeva, & Y. Mardenov. (2023). INTERNET OF THINGS: STATUS AND PROSPECTS FOR THE DEVELOPMENT OF LIGHTWEIGHT ALGORITHMS. Известия НАН РК. Серия физико-математическая, (2), 5–20. https://doi.org/10.32014/2023.2518-1726.180 (https://journals.nauka-nanrk.kz/physics-mathematics/article/view/5499)

Work plan Section №3: Development of a methodology for aggregation and normalization of data captured from working devices in the IoT, for their pre-processing and systematization

Status: In process

Figure 5. Information security monitoring scheme

Methods and algorithms for processing heterogeneous device data are investigated. analysis of correlation signal processing approaches. The methods and algorithms of correlation processing for the final device and the characteristics of the correlation method depending on the parameters of the impulse response are also investigated.