Cyber Security of Critical Infrastructures

Cited by

Year 2020 : 3 citations

 Ponchovny, Yu.L., "Analysis of cybersecurity management concepts for distributed IT infrastructures", Systemy ta tekhnolohiyi, No 2(58), 20192, ISSN 2521-6643, https://doi.org/10.32836/2521-6643-2019-2-58-5

 Luke Munn (2020) Injecting failure: Data center infrastructures and the imaginaries of resilience, The Information Society, DOI: 10.1080/01972243.2020.1737607

 Chelvachandran N., Kendzierskyj S., Shah Y., Jahankhani H. (2020) Cyberwarfare – Associated Technologies and Countermeasures. In: Jahankhani H., Kendzierskyj S., Chelvachandran N., Ibarra J. (eds) Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity. Advanced Sciences and Technologies for Security Applications. Springer, Cham. DOI: 10.1007/978-3-030-35746-7_2

Year 2019 : 22 citations

 Handa A, Sharma A, Shukla SK. Machine learning in cybersecurity: A review. Wiley WIREs - Data Mining and Knowledge Discovery. 2019; DOI:10.1002/widm.1306

 Hu, Y., Li, H., Yang, H. et al., "Detecting stealthy attacks against industrial control systems based on residual skewness analysis", EURASIP J Wireless Com Network (2019) 2019: 74. DOI: 10.1186/s13638-019-1389-1

 Hu, Yan & Li, Hong & H. Luan, Tom & Yang, An & Sun, Limin & Wang, Zhiliang & Wang, Rui. (2018). Detecting stealthy attacks on industrial control systems using a permutation entropy-based method. Future Generation Computer Systems. 10.1016/j.future.2018.07.027.

 R. Jidin, S. N. Tukijan, I. Al-Bahadly, N. Jamil and Q. S. Qassim, "Prototyping a Lightweight Encryption on a Field Programmable Gate Array for Securing Tele-Control Data," 2018 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, Malaysia, 2018, pp. 180-185. DOI: 10.1109/ICCSCE.2018.8685001

 Socarrás, H.E., Santana, I., "Cyber security for the industrial control system of the elquim’s chlorine plant [Ciberseguridad del sistema de control industrial de la planta cloro-sosa ELQUIM]", 2019, RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2019 (32), pp. 83-96. DOI; 10.17013/risti.32.83–96

 Mikhail Gurin, Alexey Vulfin, Vladimir Vasilyev, Andrey Nikonov, "Intrusion detection system on the basis of data mining
algorithms in the industrial network", in Proceedings of the Data Science Session at the V International Conference on Information Technology and Nanotechnology, Samara, Russia, May 21-24, 2019. Available at: http://ceur-ws.org/Vol-2416/

 W. Li, J. Jin and J. Lee, "Analysis of Botnet Domain Names for IoT Cybersecurity," in IEEE Access, vol. 7, pp. 94658-94665, 2019. doi: 10.1109/ACCESS.2019.2927355

 R. Colelli, S. Panzieri and F. Pascucci, "Securing connection between IT and OT: the Fog Intrusion Detection System prospective," 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT), Naples, Italy, 2019, pp. 444-448. DOI: 10.1109/METROI4.2019.8792884

 Börner, Johannes and Scheurich, Simon and Steinke, Florian (2019): Nonlinear consensus for improved resilience of distributed secondary frequency control. Bucharest, Romania, In: 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, Romania, September 29 to October 2, 2019.

 Viganò, Eleonora & Loi, Michele & Yaghmaei, Emad. (2019). Cybersecurity of critical infrastructure, in The Ethics of Cybersecurity, Springer, september 2019.

 Veneta Yosifova, Roumen Trifonov, Antoniya Tasheva, and Ognian Nakov. 2019. Trends Review of the Contemporary Security Problems in the Cyberspace. In Proceedings of the 9th Balkan Conference on Informatics (BCI'19). ACM, New York, NY, USA, Article 10, 4 pages. DOI: https://doi.org/10.1145/3351556.3351560

 Carreño Pérez, Juan Carlos. "Metodología para evaluación de ciber vulnerabilidad en sistemas de transmisión de energía eléctrica “EVULCIB”, estudio de caso subestación eléctrica de 230kV ubicada en la ciudad de Bogotá-Colombia.", MSc thesis, Universidad Distrital Francisco Jose? De Caldas, Colombia, 2019.

 Serrano, Will. "Deep Reinforcement Learning Algorithms in Intelligent Infrastructure." Infrastructures 4.3 (2019): 52. DOI: 0.3390/infrastructures4030052

 Vavra J., Hromada M. (2019) Optimization of the Novelty Detection Model Based on LSTM Autoencoder for ICS Environment. In: Silhavy R., Silhavy P., Prokopova Z. (eds) Intelligent Systems Applications in Software Engineering. CoMeSySo 2019 2019. Advances in Intelligent Systems and Computing, vol 1046. Springer, Cham. DOI: 10.1007/978-3-030-30329-7_28

 Mazzoccoli, A. and Naldi, M. (2019), Robustness of Optimal Investment Decisions in Mixed Insurance/Investment Cyber Risk Management. Risk Analysis. DOI:10.1111/risa.13416

 Raposo, Duarte & Rodrigues, André & Sinche, Soraya & Sá Silva, Jorge & Boavida, Fernando. (2019). Security and Fault Detection in In-node components of IIoT Constrained Devices, in Proc of Local Computer Networks Conference (LCN), October 2019

 R. Kekoa Koehler, "When the Lights Go Out: Vulnerabilities to US Critical Infrastructure,
the Russian Cyber Threat, and a New Way Forward", Georgetown Security Studies Review, Volume 7, Issue 1
January 2019. ISSN 2474-8552 (print); ISSN 2474-8560 (online). URL: http://georgetownsecuritystudiesreview.org/wp-content/uploads/2019/01/GSSR-7.1-final-text-updated.pdf#page=27

 Y. Hu, Y. Sun, Y. Wang and Z. Wang, "An Enhanced Multi-Stage Semantic Attack Against Industrial Control Systems," in IEEE Access, vol. 7, pp. 156871-156882, 2019. doi: 10.1109/ACCESS.2019.2949645

 Noshina Tariq, Muhammad Asim, Farrukh Aslam Khan, “Securing SCADA-based Critical Infrastructures: Challenges and Open Issues”, Procedia Computer Science, Volume 155, 2019, Pages 612-617, ISSN 1877-0509, DOI: 10.1016/j.procs.2019.08.086.

 Rodrigues, Bruno & Franco, Muriel & Parangi, Geetha & Stiller, Burkhard. (2019). SEConomy: A Framework for the Economic Assessment of Cybersecurity. DOI: 10.1007/978-3-030-36027-6_13.

 Álvaro Roberto Rojas Castro, "Protección en infraestructuras críticas. Análisis de seguridad de los sistemas de control industrial", MsC thesis, Máster Interuniversitario en Seguridad de las Tecnologías de la Información y de las Comunicaciones (MISTIC), Universitat Oberta de Catalunya, January 2019. Available at: http://openaccess.uoc.edu/webapps/o2/bitstream/10609/88006/1/Memoria_TFM_arojascas_PEC4.pdf

 Ponochovniy, Y. L. (2019). ANALYSIS OF CYBER SECURITY MANAGEMENT CONCEPTS FOR DISTRIBUTED IT INFRASTRUCTURES. Systems and Technologies, 2(58), 87-101. DOI: 10.32836/2521-6643-2019-2-58-5

Year 2018 : 6 citations

 Lu KC., Liu IH., Sun MW., Li JS. (2019) A Survey on SCADA Security and Honeypot in Industrial Control System. In: Saeed F., Gazem N., Mohammed F., Busalim A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. DOI: 10.1007/978-3-319-99007-1_56

 Raposo, D.; Rodrigues, A.; Sinche, S.; Sá Silva, J.; Boavida, F., "Industrial IoT Monitoring: Technologies and Architecture Proposal". Sensors 2018, 18, 3568. DOI: 10.3390/s18103568

 Nicol, Cameron, "Cybersecurity and national resilience in Estonia", MSc Thesis in International Security, Intelligence
and Strategic Studies (SECINTEL). May 2018. DOI: 20.500.11956/101734.

 Raposo, Duarte & Rodrigues, André & Sinche, Soraya & Sá Silva, Jorge & Boavida, Fernando. (2018). Securing WirelessHART: Monitoring, Exploring and Detecting New Vulnerabilities. 1-9. 10.1109/NCA.2018.8548060.

 Sameera, N. (2018). Protocol-Specific Intrusion Detection System using KNN Classifier. International Journal for Research in Applied Science and Engineering Technology. 6. 292-299. 10.22214/ijraset.2018.5049.

 Vavra, J[an] & Hromada, M[artin] (2018). Comparative Study of Feature Selection Techniques Respecting Novelty Detection in the Industrial Control System Environment, Proceedings of the 29th DAAAM International Symposium, pp.1084-1091, B. Katalinic (Ed.), Published by DAAAM International, ISBN 978-3-902734-20-4, ISSN 1726-9679, Vienna, Austria.
DOI: 10.2507/29th.daaam.proceedings.155