Decrypting SSL/TLS traffic for hidden threats detection

Autor: Radivilova, Tamara, Kirichenko, Lyudmyla, Ageyev, Dmytro, Tawalbeh, Maxim, Bulakh, Vitalii

Publikováno v: 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT)

The paper presents an analysis of the main mechanisms of decryption of SSL/TLS traffic. Methods and technologies for detecting malicious activity in encrypted traffic that are used by leading companies are also considered. Also, the approach for inte

Externí odkaz: http://arxiv.org/abs/1904.08383

The Methods to Improve Quality of Service by Accounting Secure Parameters

Autor: Radivilova, Tamara, Kirichenko, Lyudmyla, Ageiev, Dmytro, Bulakh, Vitalii

Publikováno v: In: Hu Z., Petoukhov S., Dychka I., He M. (eds) Advances in Computer Science for Engineering and Education II. ICCSEEA 2019. Advances in Intelligent Systems and Computing, vol 938, pp 346-355. 2020. Springer, Cham

A solution to the problem of ensuring quality of service, providing a greater number of services with higher efficiency taking into account network security is proposed. In this paper, experiments were conducted to analyze the effect of self-similari

Externí odkaz: http://arxiv.org/abs/1905.01960

Comparative analysis of machine learning classification of time series with fractal properties

Autor: Tamara Radivilova, Lyudmyla Kirichenko, Bulakh Vitalii

Publikováno v: 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL).

The article analyses the classification of time series according to their fractal properties by machine learning. The classification was carried out using neural networks and the random forest method. Objects were the model fractal time series with g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83594a248b442d605a3f8ca0e02d66fb
https://doi.org/10.1109/caol46282.2019.9019416