Formal Framework for Safety, Security, and Availability of Aircraft Communication Networks

Dureja, Rohit; Rozier, Kristin Yvonne

doi:10.2514/1.i010769

Cited by 4 publications

(2 citation statements)

References 70 publications

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“…e new energy Internet is a large-scale power information physical system, and the errors of the information system are inseparable from the accidents of the physical system. erefore, by analyzing the principle of FDIA acting on the new energy Internet, combined with the inherent bad data detection method of the power system, the concealment characteristics of FDIA are obtained, and the diversity characteristics of FDIA are obtained through the actual situation, ensure that the attack examples used in the study meet the requirements of practical applications [8].…”

Section: Principles and Characteristics Of Fdiamentioning

confidence: 99%

Attack and Protection Technology of Intelligent Terminals for New Energy Internet Transmission, Transformation, and Distribution

Wang

Zhao²,

Liu

et al. 2022

Journal of Control Science and Engineering

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In order to improve the ability of the new energy Internet to defend against external attacks, the author proposes a dual Markov chain-based FDIA detection method suitable for the new energy Internet. Taking into account the FDIA principles and characteristics of the new energy Internet, and the fact that the new energy Internet contains a large amount of measurement data and changing operating states, the data to be detected is mapped to two different state spaces, and two different Markovs are generated. The detector of FDIA is generated according to the accuracy of energy Internet operation state estimated by the model. The correctness and effectiveness of the proposed detection method are verified by experimental cases. Experimental results show: The proposed FDIA detection method has excellent detection probability and less detection calculation, the detection probability can reach 98.60%, and the false alarm probability is only 1.35%, compared with the support vector machine method, the calculation amount is reduced by an order of magnitude. It is proven that the method can meet the application requirements of the new energy Internet.

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Section: Principles and Characteristics Of Fdiamentioning

confidence: 99%

Attack and Protection Technology of Intelligent Terminals for New Energy Internet Transmission, Transformation, and Distribution

Wang

Zhao²,

Liu

et al. 2022

Journal of Control Science and Engineering

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“…Design-space exploration has been effectively used in the engineering of several embedded systems [Pim17,YCY20], network architectures [LXX + 09, ZBG20], communication protocols [DR20a], processor protocols [HC13, SSZ11, KJCH19], and compiler optimizations [STF16].…”

Section: Analysis Techniquesmentioning

confidence: 99%

Model checking large design spaces: Theory, tools, and experiments

Dureja¹

Self Cite

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Incremental design-space model checking via reusable reachable state approximations

Dureja

Rozier

2021

Form Methods Syst Des

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The design of safety-critical systems often requires design space exploration: comparing several system models that differ in terms of design choices, capabilities, and implementations. Model checking can compare different models in such a set, however, it is continuously challenged by the state space explosion problem. Therefore, learning and reusing information from solving related models becomes very important for future checking efforts. For example, reusing variable ordering in BDD-based model checking leads to substantial performance improvement. In this paper, we present a SAT-based algorithm for checking a set of models. Our algorithm, FuseIC3, extends IC3 to minimize time spent in exploring the common state space between related models. Specifically, FuseIC3 accumulates artifacts from the sequence of over-approximated reachable states, called frames, from earlier runs when checking new models, albeit, after careful repair. It uses bidirectional reachability; forward reachability to repair frames, and IC3-type backward reachability to block predecessors to bad states. We extensively evaluate FuseIC3 over a large collection of challenging benchmarks. FuseIC3 is on-average up to 5.48× (median 1.75×) faster than checking each model individually, and up to 3.67× (median 1.72×) faster than the state-of-the-art incremental IC3 algorithm. Moreover, we evaluate the performance improvement of FuseIC3 by smarter ordering of models and property grouping using a linear-time hashing approach.

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Formal Framework for Safety, Security, and Availability of Aircraft Communication Networks

Cited by 4 publications

References 70 publications

Attack and Protection Technology of Intelligent Terminals for New Energy Internet Transmission, Transformation, and Distribution

Attack and Protection Technology of Intelligent Terminals for New Energy Internet Transmission, Transformation, and Distribution

Model checking large design spaces: Theory, tools, and experiments

Incremental design-space model checking via reusable reachable state approximations

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