FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280578098> ?p ?o ?g. }

• W4280578098 endingPage "4801" @default.
• W4280578098 startingPage "4789" @default.
• W4280578098 abstract "The usage of Electric vehicle (EVs) has been exponentially growing due to its focus on eco-friendly means of transport, distributed charging platform and user dictated supporting infrastructures. The EVs are charged by the charging stations which equipped with Electric Vehicle Supply Equipment (EVSE) that contains Internet enabled computers. These systems are considered to be more important for controlling the function such as charging electric vehicles, authorization and smart connection to the local power grid using different wireless technologies such as green WIFI, Bluetooth and even 5 G. The cyber-attacks such as DoS and DDoS attacks can violate integrity, confidentiality and availability of the EVSE resources. Hence the intelligent Intrusion Detection System (IDS) is required to ensure the system for the robust and trustworthy deployment of EVSE resources. To meet the above challenge, this paper proposes new composite and intelligent system which contains the deep learning based IDS and high random chaotic generators to safeguard the data against the different cyber-attacks. The proposed IDS has been modelled based on Gated Recurrent Units (GRU) and counter measures are performed by adopting the Enhanced Chaotic Scroll attractor keys (ECSA). The contribution of this research paper is as follows: Novel Dataset Preparation for EVSE under different attack scenarios, Implementation of high accurate multi-objective accurate GRU based IDSs, Design of Enhanced Chaotic Countermeasure Encryption Schemes for the counterfeiting the attacks in Internet Enabled EVSE system. The extensive experimentation has been carried out into two important phases. In first phase algorithm centric metrics such as prediction accuracy, time of detection, whereas in second phase key centric metrics such as Number of Changing Pixel Rate (NPCR), Unified Averaged Changed Intensity (UACI), Key sensitivity and entropy are calculated and compared with the other existing methodologies. Results demonstrates that the proposed ensemble system has outperformed than the other methodologies and proves its strong place in designing the more secured Internet Enabled EVSE systems." @default.
• W4280578098 created "2022-05-22" @default.
• W4280578098 creator A5021484932 @default.
• W4280578098 creator A5041805340 @default.
• W4280578098 date "2022-08-10" @default.
• W4280578098 modified "2023-09-30" @default.
• W4280578098 title "A novel ensembling of deep learning based intrusion detection system and scroll chaotic countermeasures for electric vehicle charging system" @default.
• W4280578098 cites W2099940443 @default.
• W4280578098 cites W2131068602 @default.
• W4280578098 cites W2156018077 @default.
• W4280578098 cites W2168691517 @default.
• W4280578098 cites W2603653327 @default.
• W4280578098 cites W2900708792 @default.
• W4280578098 cites W2912114361 @default.
• W4280578098 cites W2914268030 @default.
• W4280578098 cites W2921364842 @default.
• W4280578098 cites W2926701059 @default.
• W4280578098 cites W2946315311 @default.
• W4280578098 cites W2952348579 @default.
• W4280578098 cites W2963413291 @default.
• W4280578098 cites W2967160178 @default.
• W4280578098 cites W2968165738 @default.
• W4280578098 doi "https://doi.org/10.3233/jifs-220310" @default.
• W4280578098 hasPublicationYear "2022" @default.
• W4280578098 type Work @default.
• W4280578098 citedByCount "3" @default.
• W4280578098 countsByYear W42805780982022 @default.
• W4280578098 countsByYear W42805780982023 @default.
• W4280578098 crossrefType "journal-article" @default.
• W4280578098 hasAuthorship W4280578098A5021484932 @default.
• W4280578098 hasAuthorship W4280578098A5041805340 @default.
• W4280578098 hasConcept C10558101 @default.
• W4280578098 hasConcept C119599485 @default.
• W4280578098 hasConcept C127413603 @default.
• W4280578098 hasConcept C149635348 @default.
• W4280578098 hasConcept C31258907 @default.
• W4280578098 hasConcept C35525427 @default.
• W4280578098 hasConcept C38652104 @default.
• W4280578098 hasConcept C41008148 @default.
• W4280578098 hasConceptScore W4280578098C10558101 @default.
• W4280578098 hasConceptScore W4280578098C119599485 @default.
• W4280578098 hasConceptScore W4280578098C127413603 @default.
• W4280578098 hasConceptScore W4280578098C149635348 @default.
• W4280578098 hasConceptScore W4280578098C31258907 @default.
• W4280578098 hasConceptScore W4280578098C35525427 @default.
• W4280578098 hasConceptScore W4280578098C38652104 @default.
• W4280578098 hasConceptScore W4280578098C41008148 @default.
• W4280578098 hasIssue "4" @default.
• W4280578098 hasLocation W42805780981 @default.
• W4280578098 hasOpenAccess W4280578098 @default.
• W4280578098 hasPrimaryLocation W42805780981 @default.
• W4280578098 hasRelatedWork W2000940208 @default.
• W4280578098 hasRelatedWork W2130966263 @default.
• W4280578098 hasRelatedWork W2347970476 @default.
• W4280578098 hasRelatedWork W2351252967 @default.
• W4280578098 hasRelatedWork W2371474181 @default.
• W4280578098 hasRelatedWork W2373866020 @default.
• W4280578098 hasRelatedWork W2377933504 @default.
• W4280578098 hasRelatedWork W2388271354 @default.
• W4280578098 hasRelatedWork W2786330811 @default.
• W4280578098 hasRelatedWork W2799811901 @default.
• W4280578098 hasVolume "43" @default.
• W4280578098 isParatext "false" @default.
• W4280578098 isRetracted "false" @default.
• W4280578098 workType "article" @default.