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The Security Requirement to Prevent Zero Dynamics Attacks and Perfectly Undetectable Cyber-Attacks in Cyber-Physical Systems

2023· article· en· W4391020409 on OpenAlexafffund
Mahdi Taheri, K. Khorasani, Nader Meskin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Security and Resilience
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaQatar National Research Fund
KeywordsUnobservableCovertComputer scienceComputer securityDependabilityCyber-physical systemZero (linguistics)Metric (unit)MathematicsEngineering

Abstract

fetched live from OpenAlex

The impacts of zero dynamics attacks and perfectly undetectable cyber-attacks cannot be observed in outputs of cyber-physical systems (CPS). Adversaries are capable of executing these cyber-attacks and leading the CPS to undesirable trajectories while remaining undetected. In this paper, we introduce and formally define the notion of security effort (SE) as a novel security metric for CPS that determines the minimum number of actuators and sensors that should be secured and kept attack free in order to prevent adversaries from executing zero dynamics attacks, covert attacks, and controllable attacks. Moreover, since zero dynamics attacks, covert attacks, and controllable attacks belong to weakly unobservable and controllable weakly unobservable subspaces of the CPS, conditions under which these subspaces become zero are obtained and investigated. An illustrative numerical simulation is provided to demonstrate the effectiveness of our proposed security measure.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.627

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.244
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes2
Has abstractyes

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