Signature and statistical analyzers in the cyber attack detection system

Authors

DOI:

https://doi.org/10.20535/2411-1031.2019.7.1.184326

Keywords:

Cyberspace, cyber attack, signature analyzer, decision-making system, cyber intrusion

Abstract

The globalization of information exchange and the widespread introduction of information technologies in all spheres of society's life created the problem of protecting information processed in information systems from challenges and threats in the cybernetic space. The presence of important information in the functioning of the systems and critical national infrastructures objects enables its usage by the negatively-minded elements and groupings for the implementation of unlawful actions in the cyberspace by violating the integrity, availability, and confidentiality of information, and inflicting damage on information resources and information systems. In this case, the possibility of using information technologies in the cybernetic space in the interests of carrying out military-political and power confrontation, terrorism, and hacking cyber attacks are of particular concern. Today, intrusion detection and attack systems are usually software or hardware-software solutions that automate the process of monitoring events occurring in the information system or network, and independently analyze these events in search of security issues signs. An analysis of modern approaches to the development of such systems shows that it is the signature analysis of network traffic provides effective results in the development of protection modules of cyber systems.  In addition, for the reliable protection of information systems, it is not only necessary to develop separate mechanisms of protection, but also to implement a systematic approach that includes a set of interrelated measures. The purpose of the article is to develop a system for recognizing cyber threats based on signature analysis, which would reduce the time of an attack detection of a cyber defense system while the number and complexity of cyber attacks are increasing

Author Biographies

Serhii Toliupa, Taras Shevchenko Kyiv national university, Kyiv,

doctor of technical sciences, professor,
professor at the cybersecurity and
information protection academic department

Volodymyr Nakonechnyi, Taras Shevchenko Kyiv national university, Kyiv,

doctor of technical sciences,
senior research fellow,
professor at the cybersecurity
and information protection
academic department

Oleksandr Uspenskyi, Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv polytechnic institute”, Kyiv,

candidate of technical sciences,
associate professor, associate professor
at the cybersecurity and application
of information systems and technology
academic department

References

U. Drejs, M. Movchan, “Analiz neganivnih naslidkiv kiberatak na informacijni resursi objektiv kritichnoji infrastrukturi derjavi”, in Proc. Third International Scientific and Practical Conference Topical issues of cyber security and information security, Кyiv: European University, 2017, pp. 71-74.

M.I. Masyuk, “NSD: teoriya i praktika”, Spetsialnaya Tehnika, no. 3, pp. 128-140, 2003.

A. A. Malyuk, S. V. Pazizin, N. S. Pogozhin, Vvedenie v zaschitu informatsii v avtomatizirovannyih sistemah. Moscow, Russia: Goryachaya liniya-Telekom, 2001.

L. V. Astahova, V. I. Tcimbol, “Primenenie samoobuchauschejsy sistemy koreljacii sobitiy informacionnoy bezopasnosty na osnove nechotkoy logiki pri avtomatizacii sistem menedjmenta informacionnoy bezopasnosty”, Vestnik JUUrGU, series Computer technologies, management, radio electronics, vol. 16, no. 1, pp. 165-169, 2015.

“ТОP-10 vredonosnih program v Ukraine”. [Online]. Available: https://eset.ua/ru/news/view/572/index0/-10-2018. Accessed on: Sept. 10, 2018.

O. U. Cherednichenko, V. V. Fesjoha, U. O. Procjuk, and T. V. Bondarenko, “Analiz isnujuchih pidhodiv protidiji najposhirenishim kibernitichnim vtruchanjam v informatcijno-telekomunikatcijny mereji”, Modern Information Technologies in the Sphere of Security and Defence, № 2 (32), pp. 13-16, 2018.

P. Kabiri, and A. Ghorbani, “Research on Intrusion Detection and Response: A Survey”, International Journal of Network Security, vol. 1, no. 2, pp. 84-102, Sept. 2005.

H. Sh. Mondal, T. Hasan, B. Hossain, E. Rahaman, and R. Hasan, “Enhancing secure cloud computing environment by Detecting DDoS attack using fuzzy logic”, in Proc. Third International Conference on Electrical Information and Communication Technology, New Jersey, 2017. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8275211. Accessed on: Dec. 17, 2018. doi: 10.1109/EICT.2017.8275211.

S. Douzi, I. Benchaji, and B. ElOuahidi, “Hybrid Approach for Intrusion Detection Using Fuzzy Association Rules”, in Proc. Second syber security in networking conference (CSNet), Paris, 2018. [Online]. Available: https://ieeexplore.ieee.org/document/8602882. Accessed on: Dec. 17, 2018. doi: 10.1109/CSNET.2018.8602882.

G. Manasi, “Taxonomy of Anomaly Based Intrusion Detection System: A Review”, International Journal of Scientific and Research Publications, vol. 2, iss. 12, Dec. 2012. [Online]. Available: http://www.ijsrp.org/research-paper-1212.php?rp=P12460. Accessed on: Dec. 17, 2018.

L. K. Babenko, O. B. Makarevich, and O. Yu. Peskova, “Razrabotka kompleksnoy sistemyi obnaruzheniya atak”, in Proc. Fifth International Scientific and Practical Conference Information Security, Taganrog, 2003, pp. 235-239.

Downloads

Published

2019-06-30

How to Cite

Toliupa, S., Nakonechnyi, V., & Uspenskyi, O. (2019). Signature and statistical analyzers in the cyber attack detection system. Information Technology and Security, 7(1), 69–79. https://doi.org/10.20535/2411-1031.2019.7.1.184326

Issue

Section

CYBERSECURITY AND CRITICAL INFRASTRUCTURE PROTECTION