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Multiple Security Domain Nondeducibility Air Traffic Surveillance Systems

机译:多安全域不可推论空中交通监视系统

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Traditional security models partition the securityuniverse into two distinct and completely separate worlds: highand low level. This partition is absolute and complete. Morecomplex situations, such as those that arise in cyber-physicalsystems (CPS) are better treated as sets of increasingly moresecure domains. In a CPS, security partitions often overlap andthe high-low distinction does not hold well. This paper utilizes Multiple Security Domain Nondeducibility(MSDND) as a model to determine information flow amongmultiple partitions, such as those that occur in a CPS. MSDND isapplied to selected aspects of Automatic Dependent Surveillance-Broadcast(ADS-B) air traffic surveillance system under variousphysical and cyber security vulnerabilities to determine when theactual operational state can, and cannot be, deduced. It is alsoused to determine what additional information inputs and flightphysics are needed to determine the actual operational state. Several failure scenarios violating the integrity of the system areconsidered with mitigation using invariants.
机译:传统的安全模型将securityuniverse划分为两个截然不同且完全独立的世界:高级别和低级别。此分区是绝对且完整的。更好的情况(例如在网络物理系统(CPS)中出现的情况)最好视为越来越安全的域集。在CPS中,安全性分区通常会重叠,并且高低区分不太好。本文利用多重安全域不可推论(MSDND)作为模型来确定多个分区(例如在CPS中发生的分区)之间的信息流。在各种物理和网络安全漏洞下,MSDND适用于自动相关监视广播(ADS-B)空中交通监视系统的选定方面,以确定何时可以推断出和不能推断出实际运行状态。它还用于确定确定实际运行状态需要哪些附加信息输入和飞行物理学。使用不变量来缓解一些破坏系统完整性的故障场景。

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