Bio-inspired evolutionary sensory system for cyber-physical system security

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Abstract

Cyber-Physical Systems (CPS) promise advances towards smarter infrastructure systems and services, significantly enhancing their reliability, performance and safety. Current CPS Monitoring, Analysis, Sharing, and Control (MASC) technologies offer disparate and largely inadequate services for the realization of effective and efficient CPS security. Most current technologies did not consider that cyber and physical convergence would need a new paradigm that treats cyber and physical components seamlessly and pervasively. Further, information sharing was severely curtailed by enforcing parameter defense to preserve the privacy of the system to be secured, the Target-of-Security system (ToS). These limitations negatively impact the quality, reliability, survivability, and promptness of security services. In this chapter, we discuss the current challenges to CPS security, survey relebant solutions, and present a novel system, CyPhyMASC, towards realizing pervasive MASC for enhanced CPS security. CyPhyMASC is a bio-inspired intrinsically-resilient, situation-aware system utilized by Security Service Providers (SSPs) to provision MASC services to ToSs comprising numerous heterogeneous CPS components. CyPhyMASC is unique in that it acts as a generic middle layer between the SSPs and the ToSs creating a uniform interface that isolates ToS scale and heterogeneity aspects from control and management aspects. Such isolation and uniform representation facilitate interoperable security services. CyPhyMASC intelligently mixes and matches heterogeneous tools and control logic from various sources towards dynamic security missions. CyPhyMASC is also elastic where situation-driven MASC solutions can be dispatched using dynamic sets of sensor and effector software capsules circulating through the ToS rather than using pre-deployed MASC components. Such approach provides evolvable, pervasive and scalable MASC services.

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APA

Azab, M., & Eltoweissy, M. (2014). Bio-inspired evolutionary sensory system for cyber-physical system security. Intelligent Systems Reference Library, 70, 39–69. https://doi.org/10.1007/978-3-662-43616-5_2

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