Exploring diverse network threats on cyber-physical systems

Prasad, K. Rajendra; Kumar, R. Raja; Suneel, Sajja; Nuvvusetty, Rajasekhar; Nishitha, Durgam

doi:10.47974/JDMSC-2340

Open Access Research Article

Exploring diverse network threats on cyber-physical systems

^*K. Rajendra PrasadCorresponding authorkrprgm@gmail.comDepartment of Computer Science and Engineering (Data Science) Institute of Aeronautical Engineering DundigalHyderabad, Telangana, 500043, IndiaView full profile → , R. Raja Kumarrajakumar.rajaboina@gmail.comDepartment of Computer Science and Engineering Rajeev Gandhi Memorial College of Engineering and Technology Neerawada, X RoadsNandyal, Andhra Pradesh, 518501, IndiaView full profile → , Sajja Suneelsajja.suneel@gmail.comDepartment of Computer Science and Engineering (Data Science) Institute of Aeronautical Engineering DundigalHyderabad, Telangana, 500043, IndiaView full profile → , Rajasekhar Nuvvusettydrnrajasekhar@gmail.comDepartment of Information Technology Gokaraju Rangaraju Institute of Engineering and Technology NizampetHyderabad, Telangana, 500090, IndiaView full profile → , Durgam Nishithanishithadurgam@gmail.comDepartment of Computer Science and Engineering (Cyber Security) Institute of Aeronautical Engineering DundigalHyderabad, Telangana, 500043, IndiaView full profile →

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pp. 2561–2571Vol. 28Issue 6September 2025DOI: 10.47974/JDMSC-2340 Crossmark XML

Received:: 06 Mar 2024
Published Online:: 09 Jul 2025
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-2340
Pages:: 2561–2571

Abstract

Many essential infrastructures are built on Cyber-Physical Systems (CPS), which are complex systems that combine physical operations and computational components. Sensors, actuators, and control mechanisms that are man- aged by embedded computational and communication resources enable these systems to communicate with the real world in a range of applications, including smart grids, healthcare monitoring, transportation networks, and industrial automation. Because of their intrinsic interconnectedness and complexity, CPS are extremely vulnerable to different types of cyberattacks, which can negatively affect their dependability, security, and performance. Such attacks are common, which emphasizes how urgently we need sophisticated security solutions that can protect these essential systems. This study looks into the impact of simultaneous cyberattacks on CPS, investigating attack techniques such as remote hijacking, MitM attack, and DDoS, along with any possible repercussions. We assess how well the Sequential Monte Carlo Probability Hypothesis Density (SMCPHD) filter of the Random Finite Set (RFS) theory framework detects and mitigates these risks. By analyzing the time complexity and memory utilization of a parallel batch computing strategy in comparison to conventional sequential alternatives. The outcomes demonstrate significant decreases in processing time while maintaining effective memory use, providing a strong remedy for improving CPS security against several simultaneous attacks. One of the models to considers the quantity based on demand and investment in this research, compare the other model focus on realistic connection between the quantity, demand and the price.

Keywords

Cyber-physical systems (CPS)Random finite set theory (RFS)Distributed denial-of service (DDoS)Parallel batch computing Mitigation strategies

Subject Classifications

94A6094A62

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