Airport security: the impact of AI on safety, efficiency, and the passenger experience
Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict t...
Ausführliche Beschreibung
Autor*in: |
Pik, Eugene [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2024 |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Übergeordnetes Werk: |
Enthalten in: Journal of transportation security - Springer US, 2008, 17(2024), 1 vom: 08. Apr. |
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Übergeordnetes Werk: |
volume:17 ; year:2024 ; number:1 ; day:08 ; month:04 |
Links: |
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DOI / URN: |
10.1007/s12198-024-00276-6 |
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Katalog-ID: |
SPR055459404 |
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520 | |a Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict threats by analyzing vast passenger data helps identify potential risks. Balancing these breakthroughs are ethical and privacy concerns, stressing the importance of transparency and privacy protection to gain public trust. While AI systems’ reliability and accuracy are central to balancing security and passenger convenience, the future of airport security depends on the effective integration of AI technologies. Biometrics and other transformative safety measures are discussed, with the suggestion for further research on optimizing real-time authentication systems, studying various AI strategies, and enhancing AI-based intrusion detection systems to prepare for future threats. The article is targeted towards AI, cybersecurity, and airport security professionals and researchers. Policymakers and decision-makers in the aviation and transportation sectors may also find value in understanding the impact of AI on airport security, ethical considerations, and future trends and research directions. | ||
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650 | 4 | |a AI security checks |7 (dpeaa)DE-He213 | |
650 | 4 | |a AI airport security |7 (dpeaa)DE-He213 | |
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10.1007/s12198-024-00276-6 doi (DE-627)SPR055459404 (SPR)s12198-024-00276-6-e DE-627 ger DE-627 rakwb eng 380 VZ Pik, Eugene verfasserin (orcid)0000-0001-6296-919X aut Airport security: the impact of AI on safety, efficiency, and the passenger experience 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict threats by analyzing vast passenger data helps identify potential risks. Balancing these breakthroughs are ethical and privacy concerns, stressing the importance of transparency and privacy protection to gain public trust. While AI systems’ reliability and accuracy are central to balancing security and passenger convenience, the future of airport security depends on the effective integration of AI technologies. Biometrics and other transformative safety measures are discussed, with the suggestion for further research on optimizing real-time authentication systems, studying various AI strategies, and enhancing AI-based intrusion detection systems to prepare for future threats. The article is targeted towards AI, cybersecurity, and airport security professionals and researchers. Policymakers and decision-makers in the aviation and transportation sectors may also find value in understanding the impact of AI on airport security, ethical considerations, and future trends and research directions. AI biometric screening (dpeaa)DE-He213 AI threat detection (dpeaa)DE-He213 AI predictive threat analysis (dpeaa)DE-He213 AI passenger processing (dpeaa)DE-He213 AI security checks (dpeaa)DE-He213 AI airport security (dpeaa)DE-He213 Enthalten in Journal of transportation security Springer US, 2008 17(2024), 1 vom: 08. Apr. (DE-627)575172355 (DE-600)2446031-X 1938-775X nnns volume:17 year:2024 number:1 day:08 month:04 https://dx.doi.org/10.1007/s12198-024-00276-6 X:VERLAG 0 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2024 1 08 04 |
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10.1007/s12198-024-00276-6 doi (DE-627)SPR055459404 (SPR)s12198-024-00276-6-e DE-627 ger DE-627 rakwb eng 380 VZ Pik, Eugene verfasserin (orcid)0000-0001-6296-919X aut Airport security: the impact of AI on safety, efficiency, and the passenger experience 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict threats by analyzing vast passenger data helps identify potential risks. Balancing these breakthroughs are ethical and privacy concerns, stressing the importance of transparency and privacy protection to gain public trust. While AI systems’ reliability and accuracy are central to balancing security and passenger convenience, the future of airport security depends on the effective integration of AI technologies. Biometrics and other transformative safety measures are discussed, with the suggestion for further research on optimizing real-time authentication systems, studying various AI strategies, and enhancing AI-based intrusion detection systems to prepare for future threats. The article is targeted towards AI, cybersecurity, and airport security professionals and researchers. Policymakers and decision-makers in the aviation and transportation sectors may also find value in understanding the impact of AI on airport security, ethical considerations, and future trends and research directions. AI biometric screening (dpeaa)DE-He213 AI threat detection (dpeaa)DE-He213 AI predictive threat analysis (dpeaa)DE-He213 AI passenger processing (dpeaa)DE-He213 AI security checks (dpeaa)DE-He213 AI airport security (dpeaa)DE-He213 Enthalten in Journal of transportation security Springer US, 2008 17(2024), 1 vom: 08. Apr. (DE-627)575172355 (DE-600)2446031-X 1938-775X nnns volume:17 year:2024 number:1 day:08 month:04 https://dx.doi.org/10.1007/s12198-024-00276-6 X:VERLAG 0 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2024 1 08 04 |
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10.1007/s12198-024-00276-6 doi (DE-627)SPR055459404 (SPR)s12198-024-00276-6-e DE-627 ger DE-627 rakwb eng 380 VZ Pik, Eugene verfasserin (orcid)0000-0001-6296-919X aut Airport security: the impact of AI on safety, efficiency, and the passenger experience 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict threats by analyzing vast passenger data helps identify potential risks. Balancing these breakthroughs are ethical and privacy concerns, stressing the importance of transparency and privacy protection to gain public trust. While AI systems’ reliability and accuracy are central to balancing security and passenger convenience, the future of airport security depends on the effective integration of AI technologies. Biometrics and other transformative safety measures are discussed, with the suggestion for further research on optimizing real-time authentication systems, studying various AI strategies, and enhancing AI-based intrusion detection systems to prepare for future threats. The article is targeted towards AI, cybersecurity, and airport security professionals and researchers. Policymakers and decision-makers in the aviation and transportation sectors may also find value in understanding the impact of AI on airport security, ethical considerations, and future trends and research directions. AI biometric screening (dpeaa)DE-He213 AI threat detection (dpeaa)DE-He213 AI predictive threat analysis (dpeaa)DE-He213 AI passenger processing (dpeaa)DE-He213 AI security checks (dpeaa)DE-He213 AI airport security (dpeaa)DE-He213 Enthalten in Journal of transportation security Springer US, 2008 17(2024), 1 vom: 08. Apr. (DE-627)575172355 (DE-600)2446031-X 1938-775X nnns volume:17 year:2024 number:1 day:08 month:04 https://dx.doi.org/10.1007/s12198-024-00276-6 X:VERLAG 0 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2024 1 08 04 |
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10.1007/s12198-024-00276-6 doi (DE-627)SPR055459404 (SPR)s12198-024-00276-6-e DE-627 ger DE-627 rakwb eng 380 VZ Pik, Eugene verfasserin (orcid)0000-0001-6296-919X aut Airport security: the impact of AI on safety, efficiency, and the passenger experience 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict threats by analyzing vast passenger data helps identify potential risks. Balancing these breakthroughs are ethical and privacy concerns, stressing the importance of transparency and privacy protection to gain public trust. While AI systems’ reliability and accuracy are central to balancing security and passenger convenience, the future of airport security depends on the effective integration of AI technologies. Biometrics and other transformative safety measures are discussed, with the suggestion for further research on optimizing real-time authentication systems, studying various AI strategies, and enhancing AI-based intrusion detection systems to prepare for future threats. The article is targeted towards AI, cybersecurity, and airport security professionals and researchers. Policymakers and decision-makers in the aviation and transportation sectors may also find value in understanding the impact of AI on airport security, ethical considerations, and future trends and research directions. AI biometric screening (dpeaa)DE-He213 AI threat detection (dpeaa)DE-He213 AI predictive threat analysis (dpeaa)DE-He213 AI passenger processing (dpeaa)DE-He213 AI security checks (dpeaa)DE-He213 AI airport security (dpeaa)DE-He213 Enthalten in Journal of transportation security Springer US, 2008 17(2024), 1 vom: 08. Apr. (DE-627)575172355 (DE-600)2446031-X 1938-775X nnns volume:17 year:2024 number:1 day:08 month:04 https://dx.doi.org/10.1007/s12198-024-00276-6 X:VERLAG 0 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2024 1 08 04 |
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10.1007/s12198-024-00276-6 doi (DE-627)SPR055459404 (SPR)s12198-024-00276-6-e DE-627 ger DE-627 rakwb eng 380 VZ Pik, Eugene verfasserin (orcid)0000-0001-6296-919X aut Airport security: the impact of AI on safety, efficiency, and the passenger experience 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict threats by analyzing vast passenger data helps identify potential risks. Balancing these breakthroughs are ethical and privacy concerns, stressing the importance of transparency and privacy protection to gain public trust. While AI systems’ reliability and accuracy are central to balancing security and passenger convenience, the future of airport security depends on the effective integration of AI technologies. Biometrics and other transformative safety measures are discussed, with the suggestion for further research on optimizing real-time authentication systems, studying various AI strategies, and enhancing AI-based intrusion detection systems to prepare for future threats. The article is targeted towards AI, cybersecurity, and airport security professionals and researchers. Policymakers and decision-makers in the aviation and transportation sectors may also find value in understanding the impact of AI on airport security, ethical considerations, and future trends and research directions. AI biometric screening (dpeaa)DE-He213 AI threat detection (dpeaa)DE-He213 AI predictive threat analysis (dpeaa)DE-He213 AI passenger processing (dpeaa)DE-He213 AI security checks (dpeaa)DE-He213 AI airport security (dpeaa)DE-He213 Enthalten in Journal of transportation security Springer US, 2008 17(2024), 1 vom: 08. Apr. (DE-627)575172355 (DE-600)2446031-X 1938-775X nnns volume:17 year:2024 number:1 day:08 month:04 https://dx.doi.org/10.1007/s12198-024-00276-6 X:VERLAG 0 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2024 1 08 04 |
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airport security: the impact of ai on safety, efficiency, and the passenger experience |
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Airport security: the impact of AI on safety, efficiency, and the passenger experience |
abstract |
Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict threats by analyzing vast passenger data helps identify potential risks. Balancing these breakthroughs are ethical and privacy concerns, stressing the importance of transparency and privacy protection to gain public trust. While AI systems’ reliability and accuracy are central to balancing security and passenger convenience, the future of airport security depends on the effective integration of AI technologies. Biometrics and other transformative safety measures are discussed, with the suggestion for further research on optimizing real-time authentication systems, studying various AI strategies, and enhancing AI-based intrusion detection systems to prepare for future threats. The article is targeted towards AI, cybersecurity, and airport security professionals and researchers. Policymakers and decision-makers in the aviation and transportation sectors may also find value in understanding the impact of AI on airport security, ethical considerations, and future trends and research directions. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstractGer |
Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict threats by analyzing vast passenger data helps identify potential risks. Balancing these breakthroughs are ethical and privacy concerns, stressing the importance of transparency and privacy protection to gain public trust. While AI systems’ reliability and accuracy are central to balancing security and passenger convenience, the future of airport security depends on the effective integration of AI technologies. Biometrics and other transformative safety measures are discussed, with the suggestion for further research on optimizing real-time authentication systems, studying various AI strategies, and enhancing AI-based intrusion detection systems to prepare for future threats. The article is targeted towards AI, cybersecurity, and airport security professionals and researchers. Policymakers and decision-makers in the aviation and transportation sectors may also find value in understanding the impact of AI on airport security, ethical considerations, and future trends and research directions. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstract_unstemmed |
Abstract This literature review article explores how artificial intelligence (AI) is revolutionizing airport security by automating threat analysis and identification processes. These advancements not only enhance security measures but also improve speed and accuracy. The capacity of AI to predict threats by analyzing vast passenger data helps identify potential risks. Balancing these breakthroughs are ethical and privacy concerns, stressing the importance of transparency and privacy protection to gain public trust. While AI systems’ reliability and accuracy are central to balancing security and passenger convenience, the future of airport security depends on the effective integration of AI technologies. Biometrics and other transformative safety measures are discussed, with the suggestion for further research on optimizing real-time authentication systems, studying various AI strategies, and enhancing AI-based intrusion detection systems to prepare for future threats. The article is targeted towards AI, cybersecurity, and airport security professionals and researchers. Policymakers and decision-makers in the aviation and transportation sectors may also find value in understanding the impact of AI on airport security, ethical considerations, and future trends and research directions. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Airport security: the impact of AI on safety, efficiency, and the passenger experience |
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https://dx.doi.org/10.1007/s12198-024-00276-6 |
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2024-07-03T15:48:21.695Z |
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