Sergey Iskhakov

Papers

Total Citations

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About

Sergey Iskhakov is a researcher focused on the intersection of cybersecurity and robotics, specifically addressing the critical challenges of threat detection and data management in robotic systems. His work centers on developing proactive security frameworks for robotic complexes, with a major contribution being the proposal of a modified data normalization model for Security Event Management (SEM) systems. This model, detailed in his most-cited 2020 paper (3 citations), aims to improve correlation methods by mitigating the negative impact of data transformation on threat analysis. Iskhakov further advances the field by structuring solutions for proactive threat detection and introducing a novel classification of Indicators of Compromise (IoCs) for robotic systems, as outlined in his 2021 work (2 citations). His research is particularly notable for adapting traditional cybersecurity concepts—like IoCs and correlation rules—to the unique constraints of robotic environments, enabling the proactive search for previously unknown threats. By addressing the specific vulnerabilities of automated and autonomous systems, Iskhakov’s contributions provide foundational methodical support for building more resilient security architectures in robotics, making his work essential for students and researchers exploring the convergence of cyber defense and robotic autonomy.