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• W3126468572 startingPage "100371" @default.
• W3126468572 abstract "The wide dispersion of the Internet of Things (IoT), Software-defined Networks and Cloud Computing have given the wings to Cyber–Physical System adoption. The newfangled society relies so much on Cyber–Physical Systems, such as Smart Cities, Smart Agriculture, Medical Cyber System, that a dearth to any of the available services may lead to severe concerns. The IoT devices are unwittingly contributing to the denial of service attacks. Though the neoteric Software-defined Anything (SDx) paradigm has offered effective solution approaches to catastrophic IoT-based DDoS attacks, the novel designed solutions confront various vulnerabilities due to less secure IoT devices, high-volume real-time network traffic generated by the colossal amount of IoT devices, etc. In this paper, we present a comprehensive survey on vulnerability analysis of security solutions for Software-defined Cyber–Physical System. The paper delineates the architectural details of the Software-defined Cyber–Physical System and recommends amalgamation of Fog Computing as one of the architectural layers for overcoming a number of vulnerabilities. As contemporary technologies like IoT, Software-defined Networking and Cloud Computing are the soup ingredients of the Software-defined Cyber–Physical System, each of the individual components has been auscultated individually for security vulnerabilities with a focus on Distributed Denial of Service (DDoS and IoT-based DDoS) attacks. To anticipate the future recasting of the novel paradigm, we discuss the ongoing research and detailed vulnerability analysis with a focus on resiliency, performance, and scalability. Last but not least, we discuss the lessons learned and prospects to conclude." @default.
• W3126468572 created "2021-02-15" @default.
• W3126468572 creator A5050836902 @default.
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• W3126468572 date "2021-05-01" @default.
• W3126468572 modified "2023-10-17" @default.
• W3126468572 title "Vulnerability retrospection of security solutions for software-defined Cyber–Physical System against DDoS and IoT-DDoS attacks" @default.
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• W3126468572 doi "https://doi.org/10.1016/j.cosrev.2021.100371" @default.
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