An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management Article Swipe
Kishu Gupta
,
Deepika Saxena
,
Pooja Rani
,
Jitendra Kumar
,
Aaisha Makkar
,
Ashutosh Kumar Singh
,
Chung‐Nan Lee
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/tase.2024.3456209
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/tase.2024.3456209
Digital healthcare is essential to facilitate consumers to access and disseminate their medical data easily for enhanced medical care services. However, the significant concern with digitalization across healthcare systems necessitates for a prompt, productive, and secure storage facility along with a vigorous communication strategy, to stimulate sensitive digital healthcare data sharing and proactive estimation of malicious entities. In this context, this paper introduces a comprehensive quantum-based framework to overwhelm the potential security and privacy issues for secure healthcare data management. It equips quantum encryption for the secured storage and dispersal of healthcare data over the shared cloud platform by employing quantum encryption. Also, the framework furnishes a quantum feed-forward neural network unit to examine the intention behind the data request before granting access, for proactive estimation of potential data breach. In this way, the proposed framework delivers overall healthcare data management by coupling the advanced and more competent quantum approach with machine learning to safeguard the data storage, access, and prediction of malicious entities in an automated manner. Thus, the proposed IQ-HDM leads to more cooperative and effective healthcare delivery and empowers individuals with adequate custody of their health data. The experimental evaluation and comparison of the proposed IQ-HDM framework with state-of-the-art methods outline a considerable improvement up to 67.6%, in tackling cyber threats related to healthcare data security.
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- Type
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- en
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4402568899Canonical identifier for this work in OpenAlex
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https://doi.org/10.1109/tase.2024.3456209Digital Object Identifier
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An Intelligent Quantum Cyber-Security Framework for Healthcare Data ManagementWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
- Publication date
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2024-09-17Full publication date if available
- Authors
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Kishu Gupta, Deepika Saxena, Pooja Rani, Jitendra Kumar, Aaisha Makkar, Ashutosh Kumar Singh, Chung‐Nan LeeList of authors in order
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https://doi.org/10.1109/tase.2024.3456209Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2410.03217Direct OA link when available
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Health care, Computer science, Computer security, Economic growth, EconomicsTop concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2025: 10, 2024: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 9, 34, 51, 72, 88, 145, 159, 176, 180, 193 |
| abstract_inverted_index.for | 15, 30, 75, 84, 123 |
| abstract_inverted_index.the | 21, 69, 85, 94, 103, 114, 117, 133, 143, 155, 169, 196 |
| abstract_inverted_index.care | 18 |
| abstract_inverted_index.data | 13, 49, 78, 92, 118, 128, 139, 156, 217 |
| abstract_inverted_index.more | 146, 174 |
| abstract_inverted_index.over | 93 |
| abstract_inverted_index.this | 58, 60, 131 |
| abstract_inverted_index.unit | 111 |
| abstract_inverted_index.way, | 132 |
| abstract_inverted_index.with | 24, 39, 150, 183, 200 |
| abstract_inverted_index.Also, | 102 |
| abstract_inverted_index.Thus, | 168 |
| abstract_inverted_index.along | 38 |
| abstract_inverted_index.cloud | 96 |
| abstract_inverted_index.cyber | 212 |
| abstract_inverted_index.data. | 189 |
| abstract_inverted_index.leads | 172 |
| abstract_inverted_index.paper | 61 |
| abstract_inverted_index.their | 11, 187 |
| abstract_inverted_index.67.6%, | 209 |
| abstract_inverted_index.IQ-HDM | 171, 198 |
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| abstract_inverted_index.across | 26 |
| abstract_inverted_index.before | 120 |
| abstract_inverted_index.behind | 116 |
| abstract_inverted_index.easily | 14 |
| abstract_inverted_index.equips | 81 |
| abstract_inverted_index.health | 188 |
| abstract_inverted_index.issues | 74 |
| abstract_inverted_index.neural | 109 |
| abstract_inverted_index.secure | 35, 76 |
| abstract_inverted_index.shared | 95 |
| abstract_inverted_index.Digital | 0 |
| abstract_inverted_index.access, | 122, 158 |
| abstract_inverted_index.breach. | 129 |
| abstract_inverted_index.concern | 23 |
| abstract_inverted_index.custody | 185 |
| abstract_inverted_index.digital | 47 |
| abstract_inverted_index.examine | 113 |
| abstract_inverted_index.machine | 151 |
| abstract_inverted_index.manner. | 167 |
| abstract_inverted_index.medical | 12, 17 |
| abstract_inverted_index.methods | 202 |
| abstract_inverted_index.network | 110 |
| abstract_inverted_index.outline | 203 |
| abstract_inverted_index.overall | 137 |
| abstract_inverted_index.privacy | 73 |
| abstract_inverted_index.prompt, | 32 |
| abstract_inverted_index.quantum | 82, 100, 107, 148 |
| abstract_inverted_index.related | 214 |
| abstract_inverted_index.request | 119 |
| abstract_inverted_index.secured | 86 |
| abstract_inverted_index.sharing | 50 |
| abstract_inverted_index.storage | 36, 87 |
| abstract_inverted_index.systems | 28 |
| abstract_inverted_index.threats | 213 |
| abstract_inverted_index.However, | 20 |
| abstract_inverted_index.adequate | 184 |
| abstract_inverted_index.advanced | 144 |
| abstract_inverted_index.approach | 149 |
| abstract_inverted_index.context, | 59 |
| abstract_inverted_index.coupling | 142 |
| abstract_inverted_index.delivers | 136 |
| abstract_inverted_index.delivery | 179 |
| abstract_inverted_index.empowers | 181 |
| abstract_inverted_index.enhanced | 16 |
| abstract_inverted_index.entities | 163 |
| abstract_inverted_index.facility | 37 |
| abstract_inverted_index.granting | 121 |
| abstract_inverted_index.learning | 152 |
| abstract_inverted_index.platform | 97 |
| abstract_inverted_index.proposed | 134, 170, 197 |
| abstract_inverted_index.security | 71 |
| abstract_inverted_index.storage, | 157 |
| abstract_inverted_index.tackling | 211 |
| abstract_inverted_index.vigorous | 41 |
| abstract_inverted_index.automated | 166 |
| abstract_inverted_index.competent | 147 |
| abstract_inverted_index.consumers | 6 |
| abstract_inverted_index.dispersal | 89 |
| abstract_inverted_index.effective | 177 |
| abstract_inverted_index.employing | 99 |
| abstract_inverted_index.entities. | 56 |
| abstract_inverted_index.essential | 3 |
| abstract_inverted_index.framework | 66, 104, 135, 199 |
| abstract_inverted_index.furnishes | 105 |
| abstract_inverted_index.intention | 115 |
| abstract_inverted_index.malicious | 55, 162 |
| abstract_inverted_index.overwhelm | 68 |
| abstract_inverted_index.potential | 70, 127 |
| abstract_inverted_index.proactive | 52, 124 |
| abstract_inverted_index.safeguard | 154 |
| abstract_inverted_index.security. | 218 |
| abstract_inverted_index.sensitive | 46 |
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| abstract_inverted_index.stimulate | 45 |
| abstract_inverted_index.strategy, | 43 |
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| abstract_inverted_index.encryption | 83 |
| abstract_inverted_index.estimation | 53, 125 |
| abstract_inverted_index.evaluation | 192 |
| abstract_inverted_index.facilitate | 5 |
| abstract_inverted_index.healthcare | 1, 27, 48, 77, 91, 138, 178, 216 |
| abstract_inverted_index.introduces | 62 |
| abstract_inverted_index.management | 140 |
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| abstract_inverted_index.encryption. | 101 |
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| abstract_inverted_index.considerable | 205 |
| abstract_inverted_index.experimental | 191 |
| abstract_inverted_index.feed-forward | 108 |
| abstract_inverted_index.necessitates | 29 |
| abstract_inverted_index.communication | 42 |
| abstract_inverted_index.comprehensive | 64 |
| abstract_inverted_index.quantum-based | 65 |
| abstract_inverted_index.digitalization | 25 |
| abstract_inverted_index.state-of-the-art | 201 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 7 |
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| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |