FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3215647205> ?p ?o ?g. }

• W3215647205 endingPage "2100" @default.
• W3215647205 startingPage "2100" @default.
• W3215647205 abstract "False alerts due to misconfigured or compromised intrusion detection systems (IDS) in industrial control system (ICS) networks can lead to severe economic and operational damage. However, research using deep learning to reduce false alerts often requires the physical and cyber sensor data to be trustworthy. Implicit trust is a major problem for artificial intelligence or machine learning (AI/ML) in cyber-physical system (CPS) security, because when these solutions are most urgently needed is also when they are most at risk (e.g., during an attack). To address this, the Inter-Domain Evidence theoretic Approach for Inference (IDEA-I) is proposed that reframes the detection problem as how to make good decisions given uncertainty. Specifically, an evidence theoretic approach leveraging Dempster-Shafer (DS) combination rules and their variants is proposed for reducing false alerts. A multi-hypothesis mass function model is designed that leverages probability scores obtained from supervised-learning classifiers. Using this model, a location-cum-domain-based fusion framework is proposed to evaluate the detector's performance using disjunctive, conjunctive, and cautious conjunctive rules. The approach is demonstrated in a cyber-physical power system testbed, and the classifiers are trained with datasets from Man-In-The-Middle attack emulation in a large-scale synthetic electric grid. For evaluating the performance, we consider plausibility, belief, pignistic, and general Bayesian theorem-based metrics as decision functions. To improve the performance, a multi-objective-based genetic algorithm is proposed for feature selection considering the decision metrics as the fitness function. Finally, we present a software application to evaluate the DS fusion approaches with different parameters and architectures." @default.
• W3215647205 created "2021-12-06" @default.
• W3215647205 creator A5019388047 @default.
• W3215647205 creator A5080366268 @default.
• W3215647205 date "2022-03-09" @default.
• W3215647205 modified "2023-10-18" @default.
• W3215647205 title "Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach" @default.
• W3215647205 cites W1526538707 @default.
• W3215647205 cites W1966333039 @default.
• W3215647205 cites W1996202725 @default.
• W3215647205 cites W2004180047 @default.
• W3215647205 cites W2066843515 @default.
• W3215647205 cites W2101765290 @default.
• W3215647205 cites W2121756138 @default.
• W3215647205 cites W2126105956 @default.
• W3215647205 cites W2132996183 @default.
• W3215647205 cites W2143842190 @default.
• W3215647205 cites W2168279118 @default.
• W3215647205 cites W2727422487 @default.
• W3215647205 cites W2756940441 @default.
• W3215647205 cites W2887195793 @default.
• W3215647205 cites W2958285686 @default.
• W3215647205 cites W3016814921 @default.
• W3215647205 cites W3088451060 @default.
• W3215647205 cites W3172628103 @default.
• W3215647205 cites W3173870401 @default.
• W3215647205 cites W3195629079 @default.
• W3215647205 cites W3200654197 @default.
• W3215647205 cites W52593152 @default.
• W3215647205 doi "https://doi.org/10.3390/s22062100" @default.
• W3215647205 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35336271" @default.
• W3215647205 hasPublicationYear "2022" @default.
• W3215647205 type Work @default.
• W3215647205 sameAs 3215647205 @default.
• W3215647205 citedByCount "3" @default.
• W3215647205 countsByYear W32156472052022 @default.
• W3215647205 countsByYear W32156472052023 @default.
• W3215647205 crossrefType "journal-article" @default.
• W3215647205 hasAuthorship W3215647205A5019388047 @default.
• W3215647205 hasAuthorship W3215647205A5080366268 @default.
• W3215647205 hasBestOaLocation W32156472051 @default.
• W3215647205 hasConcept C105002631 @default.
• W3215647205 hasConcept C111919701 @default.
• W3215647205 hasConcept C119857082 @default.
• W3215647205 hasConcept C124101348 @default.
• W3215647205 hasConcept C134306372 @default.
• W3215647205 hasConcept C149810388 @default.
• W3215647205 hasConcept C154945302 @default.
• W3215647205 hasConcept C162324750 @default.
• W3215647205 hasConcept C173801870 @default.
• W3215647205 hasConcept C176066374 @default.
• W3215647205 hasConcept C179768478 @default.
• W3215647205 hasConcept C207685749 @default.
• W3215647205 hasConcept C2776214188 @default.
• W3215647205 hasConcept C33724603 @default.
• W3215647205 hasConcept C33923547 @default.
• W3215647205 hasConcept C35525427 @default.
• W3215647205 hasConcept C36503486 @default.
• W3215647205 hasConcept C41008148 @default.
• W3215647205 hasConcept C50522688 @default.
• W3215647205 hasConcept C58328972 @default.
• W3215647205 hasConcept C8880873 @default.
• W3215647205 hasConceptScore W3215647205C105002631 @default.
• W3215647205 hasConceptScore W3215647205C111919701 @default.
• W3215647205 hasConceptScore W3215647205C119857082 @default.
• W3215647205 hasConceptScore W3215647205C124101348 @default.
• W3215647205 hasConceptScore W3215647205C134306372 @default.
• W3215647205 hasConceptScore W3215647205C149810388 @default.
• W3215647205 hasConceptScore W3215647205C154945302 @default.
• W3215647205 hasConceptScore W3215647205C162324750 @default.
• W3215647205 hasConceptScore W3215647205C173801870 @default.
• W3215647205 hasConceptScore W3215647205C176066374 @default.
• W3215647205 hasConceptScore W3215647205C179768478 @default.
• W3215647205 hasConceptScore W3215647205C207685749 @default.
• W3215647205 hasConceptScore W3215647205C2776214188 @default.
• W3215647205 hasConceptScore W3215647205C33724603 @default.
• W3215647205 hasConceptScore W3215647205C33923547 @default.
• W3215647205 hasConceptScore W3215647205C35525427 @default.
• W3215647205 hasConceptScore W3215647205C36503486 @default.
• W3215647205 hasConceptScore W3215647205C41008148 @default.
• W3215647205 hasConceptScore W3215647205C50522688 @default.
• W3215647205 hasConceptScore W3215647205C58328972 @default.
• W3215647205 hasConceptScore W3215647205C8880873 @default.
• W3215647205 hasFunder F4320306084 @default.
• W3215647205 hasFunder F4320332184 @default.
• W3215647205 hasIssue "6" @default.
• W3215647205 hasLocation W32156472051 @default.
• W3215647205 hasLocation W32156472052 @default.
• W3215647205 hasLocation W32156472053 @default.
• W3215647205 hasLocation W32156472054 @default.
• W3215647205 hasLocation W32156472055 @default.
• W3215647205 hasLocation W32156472056 @default.
• W3215647205 hasLocation W32156472057 @default.
• W3215647205 hasOpenAccess W3215647205 @default.
• W3215647205 hasPrimaryLocation W32156472051 @default.
• W3215647205 hasRelatedWork W1543345676 @default.
• W3215647205 hasRelatedWork W156887348 @default.
• W3215647205 hasRelatedWork W2021246439 @default.

• next