A Secure Online Treatment Blockchain Service
Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their d...
Ausführliche Beschreibung
Autor*in: |
Lin, Hao [verfasserIn] Zhang, Hua [verfasserIn] Yan, Hanbing [verfasserIn] Wang, Huawei [verfasserIn] Shi, Yijie [verfasserIn] Gao, Fei [verfasserIn] Wen, Qiaoyan [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Wireless personal communications - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994, 117(2020), 3 vom: 09. Nov., Seite 1773-1795 |
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Übergeordnetes Werk: |
volume:117 ; year:2020 ; number:3 ; day:09 ; month:11 ; pages:1773-1795 |
Links: |
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DOI / URN: |
10.1007/s11277-020-07945-4 |
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Katalog-ID: |
SPR043531180 |
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520 | |a Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. The security analysis indicates that the proposed scheme achieves privacy protection for the patients. | ||
650 | 4 | |a Blockchain |7 (dpeaa)DE-He213 | |
650 | 4 | |a Broadcast encryption |7 (dpeaa)DE-He213 | |
650 | 4 | |a Merkle tree |7 (dpeaa)DE-He213 | |
650 | 4 | |a Privacy-preserving |7 (dpeaa)DE-He213 | |
650 | 4 | |a Provable security theory |7 (dpeaa)DE-He213 | |
650 | 4 | |a Telecare medicine information system |7 (dpeaa)DE-He213 | |
700 | 1 | |a Zhang, Hua |e verfasserin |4 aut | |
700 | 1 | |a Yan, Hanbing |e verfasserin |4 aut | |
700 | 1 | |a Wang, Huawei |e verfasserin |4 aut | |
700 | 1 | |a Shi, Yijie |e verfasserin |4 aut | |
700 | 1 | |a Gao, Fei |e verfasserin |4 aut | |
700 | 1 | |a Wen, Qiaoyan |e verfasserin |4 aut | |
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10.1007/s11277-020-07945-4 doi (DE-627)SPR043531180 (DE-599)SPRs11277-020-07945-4-e (SPR)s11277-020-07945-4-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lin, Hao verfasserin aut A Secure Online Treatment Blockchain Service 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. The security analysis indicates that the proposed scheme achieves privacy protection for the patients. Blockchain (dpeaa)DE-He213 Broadcast encryption (dpeaa)DE-He213 Merkle tree (dpeaa)DE-He213 Privacy-preserving (dpeaa)DE-He213 Provable security theory (dpeaa)DE-He213 Telecare medicine information system (dpeaa)DE-He213 Zhang, Hua verfasserin aut Yan, Hanbing verfasserin aut Wang, Huawei verfasserin aut Shi, Yijie verfasserin aut Gao, Fei verfasserin aut Wen, Qiaoyan verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 117(2020), 3 vom: 09. Nov., Seite 1773-1795 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:117 year:2020 number:3 day:09 month:11 pages:1773-1795 https://dx.doi.org/10.1007/s11277-020-07945-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_2008 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_2119 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 53.00 ASE AR 117 2020 3 09 11 1773-1795 |
spelling |
10.1007/s11277-020-07945-4 doi (DE-627)SPR043531180 (DE-599)SPRs11277-020-07945-4-e (SPR)s11277-020-07945-4-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lin, Hao verfasserin aut A Secure Online Treatment Blockchain Service 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. The security analysis indicates that the proposed scheme achieves privacy protection for the patients. Blockchain (dpeaa)DE-He213 Broadcast encryption (dpeaa)DE-He213 Merkle tree (dpeaa)DE-He213 Privacy-preserving (dpeaa)DE-He213 Provable security theory (dpeaa)DE-He213 Telecare medicine information system (dpeaa)DE-He213 Zhang, Hua verfasserin aut Yan, Hanbing verfasserin aut Wang, Huawei verfasserin aut Shi, Yijie verfasserin aut Gao, Fei verfasserin aut Wen, Qiaoyan verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 117(2020), 3 vom: 09. Nov., Seite 1773-1795 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:117 year:2020 number:3 day:09 month:11 pages:1773-1795 https://dx.doi.org/10.1007/s11277-020-07945-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_2008 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_2119 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 53.00 ASE AR 117 2020 3 09 11 1773-1795 |
allfields_unstemmed |
10.1007/s11277-020-07945-4 doi (DE-627)SPR043531180 (DE-599)SPRs11277-020-07945-4-e (SPR)s11277-020-07945-4-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lin, Hao verfasserin aut A Secure Online Treatment Blockchain Service 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. The security analysis indicates that the proposed scheme achieves privacy protection for the patients. Blockchain (dpeaa)DE-He213 Broadcast encryption (dpeaa)DE-He213 Merkle tree (dpeaa)DE-He213 Privacy-preserving (dpeaa)DE-He213 Provable security theory (dpeaa)DE-He213 Telecare medicine information system (dpeaa)DE-He213 Zhang, Hua verfasserin aut Yan, Hanbing verfasserin aut Wang, Huawei verfasserin aut Shi, Yijie verfasserin aut Gao, Fei verfasserin aut Wen, Qiaoyan verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 117(2020), 3 vom: 09. Nov., Seite 1773-1795 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:117 year:2020 number:3 day:09 month:11 pages:1773-1795 https://dx.doi.org/10.1007/s11277-020-07945-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_2008 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_2119 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 53.00 ASE AR 117 2020 3 09 11 1773-1795 |
allfieldsGer |
10.1007/s11277-020-07945-4 doi (DE-627)SPR043531180 (DE-599)SPRs11277-020-07945-4-e (SPR)s11277-020-07945-4-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lin, Hao verfasserin aut A Secure Online Treatment Blockchain Service 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. The security analysis indicates that the proposed scheme achieves privacy protection for the patients. Blockchain (dpeaa)DE-He213 Broadcast encryption (dpeaa)DE-He213 Merkle tree (dpeaa)DE-He213 Privacy-preserving (dpeaa)DE-He213 Provable security theory (dpeaa)DE-He213 Telecare medicine information system (dpeaa)DE-He213 Zhang, Hua verfasserin aut Yan, Hanbing verfasserin aut Wang, Huawei verfasserin aut Shi, Yijie verfasserin aut Gao, Fei verfasserin aut Wen, Qiaoyan verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 117(2020), 3 vom: 09. Nov., Seite 1773-1795 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:117 year:2020 number:3 day:09 month:11 pages:1773-1795 https://dx.doi.org/10.1007/s11277-020-07945-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_2008 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_2119 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 53.00 ASE AR 117 2020 3 09 11 1773-1795 |
allfieldsSound |
10.1007/s11277-020-07945-4 doi (DE-627)SPR043531180 (DE-599)SPRs11277-020-07945-4-e (SPR)s11277-020-07945-4-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lin, Hao verfasserin aut A Secure Online Treatment Blockchain Service 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. The security analysis indicates that the proposed scheme achieves privacy protection for the patients. Blockchain (dpeaa)DE-He213 Broadcast encryption (dpeaa)DE-He213 Merkle tree (dpeaa)DE-He213 Privacy-preserving (dpeaa)DE-He213 Provable security theory (dpeaa)DE-He213 Telecare medicine information system (dpeaa)DE-He213 Zhang, Hua verfasserin aut Yan, Hanbing verfasserin aut Wang, Huawei verfasserin aut Shi, Yijie verfasserin aut Gao, Fei verfasserin aut Wen, Qiaoyan verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 117(2020), 3 vom: 09. Nov., Seite 1773-1795 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:117 year:2020 number:3 day:09 month:11 pages:1773-1795 https://dx.doi.org/10.1007/s11277-020-07945-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_2008 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_2119 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 53.00 ASE AR 117 2020 3 09 11 1773-1795 |
language |
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Enthalten in Wireless personal communications 117(2020), 3 vom: 09. Nov., Seite 1773-1795 volume:117 year:2020 number:3 day:09 month:11 pages:1773-1795 |
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Blockchain Broadcast encryption Merkle tree Privacy-preserving Provable security theory Telecare medicine information system |
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Lin, Hao @@aut@@ Zhang, Hua @@aut@@ Yan, Hanbing @@aut@@ Wang, Huawei @@aut@@ Shi, Yijie @@aut@@ Gao, Fei @@aut@@ Wen, Qiaoyan @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR043531180</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111061916.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210318s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11277-020-07945-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR043531180</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)SPRs11277-020-07945-4-e</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11277-020-07945-4-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">53.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lin, Hao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Secure Online Treatment Blockchain Service</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. 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Lin, Hao |
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Lin, Hao ddc 620 bkl 53.00 misc Blockchain misc Broadcast encryption misc Merkle tree misc Privacy-preserving misc Provable security theory misc Telecare medicine information system A Secure Online Treatment Blockchain Service |
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abstract |
Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. The security analysis indicates that the proposed scheme achieves privacy protection for the patients. |
abstractGer |
Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. The security analysis indicates that the proposed scheme achieves privacy protection for the patients. |
abstract_unstemmed |
Abstract In the telecare medicine information system (TMIS), to acquire the medical data, the patients need to log in to the remote medical server. Usually, each hospital has its server and they would not like to share the data with other hospitals. However, the patients are likely to upload their data to the different medical servers. In this case, since the patients have to register for these medical servers, they will need to save many keys for these servers. Hence, it is inconvenient for the patients to use these data. Moreover, the data may be tampered or deleted by an attacker or malicious staff in hospitals. To resolve these problems, we use blockchain to design a privacy-preserving scheme for TMIS. We integrate cryptography (broadcast encryption and Merkle tree) to construct our scheme. Moreover, we utilize the provable security theory to prove the security of our scheme. The security analysis indicates that the proposed scheme achieves privacy protection for the patients. |
collection_details |
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container_issue |
3 |
title_short |
A Secure Online Treatment Blockchain Service |
url |
https://dx.doi.org/10.1007/s11277-020-07945-4 |
remote_bool |
true |
author2 |
Zhang, Hua Yan, Hanbing Wang, Huawei Shi, Yijie Gao, Fei Wen, Qiaoyan |
author2Str |
Zhang, Hua Yan, Hanbing Wang, Huawei Shi, Yijie Gao, Fei Wen, Qiaoyan |
ppnlink |
271179120 |
mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s11277-020-07945-4 |
up_date |
2024-07-03T19:16:01.301Z |
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1803586540743426048 |
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|
score |
7.398053 |