Evaluación de la seguridad real del sistema de información mediante el estudio de la equivalencia de las tecnologías aplicadas
| dc.contributor.author | Tatarkanov, Aslan A. | |
| dc.contributor.author | Glashev, Rasul M. | |
| dc.contributor.author | Nazarova, Ekaterina S. | |
| dc.contributor.orcid | Tatarkanov, Aslan A. [0000-0001-7334-6318] | spa |
| dc.contributor.orcid | Glashev, Rasul M. [0000-0002-8649-9740] | spa |
| dc.contributor.orcid | Nazarova, Ekaterina S. [0009-0008-7938-7995] | spa |
| dc.date.accessioned | 2024-09-19T15:31:35Z | |
| dc.date.available | 2024-09-19T15:31:35Z | |
| dc.date.issued | 2023-12-13 | |
| dc.description.abstract | Esta investigación está dedicada a uno de los problemas urgentes en el ámbito de la provisión de seguridad, aplicado en diversas áreas de la actividad humana relacionadas con los sistemas de información. Se asocia a una situación típica de discrepancia entre los costes de mejora de los métodos de seguridad y el nivel de seguridad alcanzado en este caso. Se demuestra que uno de los enfoques metodológicos más prometedores para encontrar una solución a este problema está relacionado con el estudio de las perspectivas de adaptación de las soluciones existentes con integración en el entorno informático que implementan la nueva tecnología. De acuerdo con este concepto, la transición equivalente entre las tecnologías de la información debe llevarse a cabo manteniendo el nivel de seguridad general de la información. Se determinó el objetivo principal de la investigación, que se refiere al desarrollo de un modelo analítico para controlar la equivalencia de las tecnologías de la información en los sistemas de seguridad de la información. Se analizó el estado actual en el campo de la seguridad de la información. Se puso de manifiesto que las herramientas y mecanismos existentes hoy en día y presentados en el mercado pertinente que previenen los riesgos y amenazas para el funcionamiento de los sistemas de información asociados al robo y la distorsión de datos son "estrechos", es decir, adaptados para resolver los problemas locales a los que se enfrentan los atacantes. | spa |
| dc.description.abstractenglish | This research is devoted to one of the urgent problems in the field of security provision, implemented in various areas of human activity related to information systems. It is associated with a typical situation of discrepancy between the costs of improving security methods and the level of security achieved in this case. It is shown that one of the most promising methodological approaches aimed at finding a solution to this problem is related to the study of the prospects for adapting existing solutions with integration into the computing environment that implement the new technology. In accordance with this concept, the equivalent transition between information technologies should be implemented while maintaining the level of overall information security. The main research goal was determined – it concerns the development of an analytical model for controlling the equivalence of information technologies in information security systems. The current state in the field of information security was analyzed. It was revealed that the tools and mechanisms existing today and presented on the relevant market that prevent risks and threats to the functioning of information systems associated with data theft and distortion are “narrow”, that is, adapted to solving local problems facing attackers. | eng |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.doi | https://doi.org/10.29375/25392115.4707 | |
| dc.identifier.instname | instname:Universidad Autónoma de Bucaramanga UNAB | spa |
| dc.identifier.issn | ISSN: 1657-2831 | spa |
| dc.identifier.issn | e-ISSN: 2539-2115 | spa |
| dc.identifier.repourl | repourl:https://repository.unab.edu.co | spa |
| dc.identifier.uri | http://hdl.handle.net/20.500.12749/26632 | |
| dc.language.iso | spa | spa |
| dc.publisher | Universidad Autónoma de Bucaramanga UNAB | spa |
| dc.relation | https://revistas.unab.edu.co/index.php/rcc/article/view/4707/3831 | spa |
| dc.relation.references | Aboaoja, F. A., Zainal, A., Ghaleb, F. A., Al-rimy, B. A. S., Eisa, T. A. E., & Elnour, A. A. H. (2022). Malware detection issues, challenges, and future directions: A survey. Applied Sciences, 12(17), 8482. https://doi.org/10.3390/app12178482 | |
| dc.relation.references | Al-Asli, M., & Ghaleb, T. A. (2019). Review of signature-based techniques in antivirus products. 2019 International Conference on Computer and Information Sciences (ICCIS). https://doi.org/10.1109/iccisci.2019.8716381 | |
| dc.relation.references | Barbosa, R. R. R., Sadre, R., & Pras, A. (2013). Flow whitelisting in SCADA networks. International Journal of Critical Infrastructure Protection, 6(3–4), 150–158. https://doi.org/10.1016/j.ijcip.2013.08.003 | |
| dc.relation.references | Bashendy, M., Tantawy, A., & Erradi, A. (2023). Intrusion response systems for cyber-physical systems: A comprehensive survey. Computers & Security, 124, 102984. https://doi.org/10.1016/j.cose.2022.102984 | |
| dc.relation.references | Bist, A. S. (2013). Code emulation technique for computer virus detection. International Journal of Engineering Sciences and Research Technology, 2(12), 3479–3481. | |
| dc.relation.references | Dhanasekar, D., Di Troia, F., Potika, K., & Stamp, M. (2018). Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models. Guide to Vulnerability Analysis for Computer Networks and Systems, 281–299. https://doi.org/10.1007/978-3-319-92624-7_12 | |
| dc.relation.references | Gopinath M., & Sethuraman, S. C. (2023). A comprehensive survey on deep learning based malware detection techniques. Computer Science Review, 47, 100529. https://doi.org/10.1016/j.cosrev.2022.100529 | |
| dc.relation.references | Huh, J. H., Lyle, J., Namiluko, C., & Martin, A. (2011). Managing application whitelists in trusted distributed systems. Future Generation Computer Systems, 27(2), 211–226. https://doi.org/10.1016/j.future.2010.08.014 | |
| dc.relation.references | Kaur, J., & Ramkumar, K. R. (2022). The recent trends in cyber security: A review. Journal of King Saud University - Computer and Information Sciences, 34(8), 5766–5781. https://doi.org/10.1016/j.jksuci.2021.01.018 | |
| dc.relation.references | Khayrutdinov, M. M., Golik, V. I., Aleksakhin, A. V., Trushina, E. V., Lazareva, N. V., & Aleksakhina, Y. V. (2022). Proposal of an algorithm for choice of a development system for operational and environmental safety in mining. Resources, 11(10), 88. https://doi.org/10.3390/resources11100088 | |
| dc.relation.references | Kirilchuk, S., Reutov, V., Nalivaychenko, E., Shevchenko, E., & Yaroshenko, A. (2022). Ensuring the security of an automated information system in a regional innovation cluster. Transportation Research Procedia, 63, 607–617. https://doi.org/10.1016/j.trpro.2022.06.054 | |
| dc.relation.references | Levy, A., & Shalom, B. R. (2020). Online parameterized dictionary matching with one gap. Theoretical Computer Science, 845, 208–229. https://doi.org/10.1016/j.tcs.2020.09.016 | |
| dc.relation.references | Ling, X., Wu, L., Zhang, J., Qu, Z., Deng, W., Chen, X., Qian, Y., Wu, C., Ji, S., Luo, T., Wu, J., & Wu, Y. (2023). Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art. Computers & Security, 128, 103134. https://doi.org/10.1016/j.cose.2023.103134 | |
| dc.relation.references | Madan, S., Sofat, S., & Bansal, D. (2022). Tools and techniques for collection and analysis of internet-of-things malware: A systematic state-of-art review. Journal of King Saud University - Computer and Information Sciences, 34(10), 9867–9888. https://doi.org/10.1016/j.jksuci.2021.12.016 | |
| dc.relation.references | Meridji, K., Al-Sarayreh, K. T., Abran, A., & Trudel, S. (2019). System security requirements: A framework for early identification, specification and measurement of related software requirements. Computer Standards & Interfaces, 66, 103346. https://doi.org/10.1016/j.csi.2019.04.005 | |
| dc.relation.references | Moreira, N., Molina, E., Lázaro, J., Jacob, E., & Astarloa, A. (2016). Cyber-security in substation automation systems. Renewable and Sustainable Energy Reviews, 54, 1552–1562. https://doi.org/10.1016/j.rser.2015.10.124 | |
| dc.relation.references | Rehman, Z.-U., Khan, S. N., Muhammad, K., Lee, J. W., Lv, Z., Baik, S. W., Shah, P. A., Awan, K., & Mehmood, I. (2018). Machine learning-assisted signature and heuristic-based detection of malwares in Android devices. Computers & Electrical Engineering, 69, 828–841. https://doi.org/10.1016/j.compeleceng.2017.11.028 | |
| dc.relation.references | Seo, J., & Lee, S. (2018). Abnormal behavior detection to identify infected systems using the APChain algorithm and behavioral profiling. Security and Communication Networks, 2018, 1–24. https://doi.org/10.1155/2018/9706706 | |
| dc.relation.references | Sharma, A., Gupta, B. B., Singh, A. K., & Saraswat, V. K. (2022). Orchestration of APT malware evasive manoeuvers employed for eluding anti-virus and sandbox defense. Computers & Security, 115, 102627. https://doi.org/10.1016/j.cose.2022.102627 | |
| dc.relation.references | Shaukat, K., Luo, S., & Varadharajan, V. (2022). A novel method for improving the robustness of deep learning-based malware detectors against adversarial attacks. Engineering Applications of Artificial Intelligence, 116, 105461. https://doi.org/10.1016/j.engappai.2022.105461 | |
| dc.relation.references | Shukla, A., Katt, B., Nweke, L. O., Yeng, P. K., & Weldehawaryat, G. K. (2022). System security assurance: A systematic literature review. Computer Science Review, 45, 100496. https://doi.org/10.1016/j.cosrev.2022.100496 | |
| dc.relation.references | Sibi Chakkaravarthy, S., Sangeetha, D., & Vaidehi, V. (2019). A Survey on malware analysis and mitigation techniques. Computer Science Review, 32, 1–23. https://doi.org/10.1016/j.cosrev.2019.01.002 | |
| dc.relation.references | Syed, N. F., Shah, S. W., Trujillo-Rasua, R., & Doss, R. (2022). Traceability in supply chains: A Cyber security analysis. Computers & Security, 112, 102536. https://doi.org/10.1016/j.cose.2021.102536 | |
| dc.relation.references | Tatarkanov, A., Lampezhev, A., Polezhaev, D., & Tekeev, R. (2022a). Development of components of a distributed fault tolerant medical data storage system. International Journal of Engineering Trends and Technology, 70(12), 76–89. https://doi.org/10.14445/22315381/ijett-v70i12p209 | |
| dc.relation.references | Tatarkanov, A., Lampezhev, A., Polezhaev, D., & Tekeev, R. (2022b). Suboptimal biomedical diagnostics in the presence of random perturbations in the data. International Journal of Engineering Trends and Technology, 70(11), 129–137. https://doi.org/10.14445/22315381/ijett-v70i11p213 | |
| dc.relation.references | Uchendu, B., Nurse, J. R. C., Bada, M., & Furnell, S. (2021). Developing a cyber security culture: Current practices and future needs. Computers & Security, 109, 102387. https://doi.org/10.1016/j.cose.2021.102387 | |
| dc.relation.references | Vouvoutsis, V., Casino, F., & Patsakis, C. (2022). On the effectiveness of binary emulation in malware classification. Journal of Information Security and Applications, 68, 103258. https://doi.org/10.1016/j.jisa.2022.103258 | |
| dc.relation.references | Wang, G.-Y. (2022). Churn prediction for high-value players in freemium mobile games: Using random under-sampling. Statistika: Statistics and Economy Journal, 102(4), 443–453. https://doi.org/10.54694/stat.2022.18 | |
| dc.relation.references | Wang, Y., Jia, P., Peng, X., Huang, C., & Liu, J. (2023). BinVulDet: Detecting vulnerability in binary program via decompiled pseudo code and BiLSTM-attention. Computers & Security, 125, 103023. https://doi.org/10.1016/j.cose.2022.103023 | |
| dc.relation.references | Wang, Y., Li, Q., Chen, Z., Zhang, P., & Zhang, G. (2020). A survey of exploitation techniques and defenses for program data attacks. Journal of Network and Computer Applications, 154, 102534. https://doi.org/10.1016/j.jnca.2020.102534 | |
| dc.relation.references | Yang, Z., Liu, X., Li, T., Wu, D., Wang, J., Zhao, Y., & Han, H. (2022). A systematic literature review of methods and datasets for anomaly-based network intrusion detection. Computers & Security, 116, 102675. https://doi.org/10.1016/j.cose.2022.102675 | |
| dc.relation.references | Zelinka, I., Das, S., Sikora, L., & Šenkeřík, R. (2018). Swarm virus - Next-generation virus and antivirus paradigm? Swarm and Evolutionary Computation, 43, 207–224. https://doi.org/10.1016/j.swevo.2018.05.003 | |
| dc.relation.references | Zhai, X., Appiah, K., Ehsan, S., Howells, G., Hu, H., Gu, D., & McDonald-Maier, K. (2015). Exploring ICMetrics to detect abnormal program behaviour on embedded devices. Journal of Systems Architecture, 61(10), 567–575. https://doi.org/10.1016/j.sysarc.2015.07.007 | |
| dc.relation.uri | https://revistas.unab.edu.co/index.php/rcc/issue/view/293 | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.source | Vol. 24 Núm. 2 (2023): Revista Colombiana de Computación (Julio-Diciembre); 29-38 | spa |
| dc.subject | Tecnologías aplicadas | spa |
| dc.subject | Sistemas de seguridad de la información | spa |
| dc.subject | Seguridad de la información | spa |
| dc.subject | Modelo de sistema | spa |
| dc.subject.keywords | Applied Technologies | eng |
| dc.subject.keywords | Information Security Systems | eng |
| dc.subject.keywords | Information Security | eng |
| dc.subject.keywords | System Model | eng |
| dc.title | Evaluación de la seguridad real del sistema de información mediante el estudio de la equivalencia de las tecnologías aplicadas | spa |
| dc.title.translated | Assessment of the actual security of the information system by studying the equivalence of the applied technologies | eng |
| dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | spa |
| dc.type.driver | info:eu-repo/semantics/article | |
| dc.type.hasversion | info:eu-repo/semantics/publishedVersion | |
| dc.type.local | Artículo | spa |
| dc.type.redcol | http://purl.org/redcol/resource_type/ART |
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