A Robust Four-Factor Authentication Protocol for Resource Mining
Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rangwani, Diksha [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© King Fahd University of Petroleum & Minerals 2022 |
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| Übergeordnetes Werk: |
Enthalten in: The Arabian journal for science and engineering - Berlin : Springer, 2011, 48(2022), 2 vom: 23. Juli, Seite 1947-1971 |
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| Übergeordnetes Werk: |
volume:48 ; year:2022 ; number:2 ; day:23 ; month:07 ; pages:1947-1971 |
| Links: |
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| DOI / URN: |
10.1007/s13369-022-07055-2 |
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| Katalog-ID: |
SPR049281917 |
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| 520 | |a Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current technological advancements, wireless sensor networks (WSNs) have become the backbone for resource mining. Using WSNs for resource mining gives ease of remote usage and decision-making with just a few clicks. However, the wireless channels are prone to various threats due to their openness, and safeguarding such a hazardous and valuable environment is essential. In this paper, we analyze the Wu et al.’s scheme and find that it suffers from various attacks like gateway impersonation, man-in-the-middle, privileged insider, sensor node impersonation, sensor node capture, session-specific transient information, and denial-of-service. We design a four-factor authentication protocol for resource mining. The formal verification of the proposed protocol is carried out using the Burrows–Abadi–Needham (BAN) logic and real-or-random (ROR) model. Its robustness is ensured by using the informal security analysis. The protocol is simulated using ProVerif to ensure the secrecy of variables and security from various attacks. Finally, a comparative analysis with the existing protocols is carried out to show its efficacy in a practical environment. | ||
| 650 | 4 | |a Multi-factor security |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a ROR model |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Mining |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Authentication |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Om, Hari |4 aut | |
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10.1007/s13369-022-07055-2 doi (DE-627)SPR049281917 (SPR)s13369-022-07055-2-e DE-627 ger DE-627 rakwb eng Rangwani, Diksha verfasserin (orcid)0000-0003-0462-0680 aut A Robust Four-Factor Authentication Protocol for Resource Mining 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022 Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current technological advancements, wireless sensor networks (WSNs) have become the backbone for resource mining. Using WSNs for resource mining gives ease of remote usage and decision-making with just a few clicks. However, the wireless channels are prone to various threats due to their openness, and safeguarding such a hazardous and valuable environment is essential. In this paper, we analyze the Wu et al.’s scheme and find that it suffers from various attacks like gateway impersonation, man-in-the-middle, privileged insider, sensor node impersonation, sensor node capture, session-specific transient information, and denial-of-service. We design a four-factor authentication protocol for resource mining. The formal verification of the proposed protocol is carried out using the Burrows–Abadi–Needham (BAN) logic and real-or-random (ROR) model. Its robustness is ensured by using the informal security analysis. The protocol is simulated using ProVerif to ensure the secrecy of variables and security from various attacks. Finally, a comparative analysis with the existing protocols is carried out to show its efficacy in a practical environment. Multi-factor security (dpeaa)DE-He213 ROR model (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Authentication (dpeaa)DE-He213 Om, Hari aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 2 vom: 23. Juli, Seite 1947-1971 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:2 day:23 month:07 pages:1947-1971 https://dx.doi.org/10.1007/s13369-022-07055-2 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_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_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_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_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 48 2022 2 23 07 1947-1971 |
| spelling |
10.1007/s13369-022-07055-2 doi (DE-627)SPR049281917 (SPR)s13369-022-07055-2-e DE-627 ger DE-627 rakwb eng Rangwani, Diksha verfasserin (orcid)0000-0003-0462-0680 aut A Robust Four-Factor Authentication Protocol for Resource Mining 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022 Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current technological advancements, wireless sensor networks (WSNs) have become the backbone for resource mining. Using WSNs for resource mining gives ease of remote usage and decision-making with just a few clicks. However, the wireless channels are prone to various threats due to their openness, and safeguarding such a hazardous and valuable environment is essential. In this paper, we analyze the Wu et al.’s scheme and find that it suffers from various attacks like gateway impersonation, man-in-the-middle, privileged insider, sensor node impersonation, sensor node capture, session-specific transient information, and denial-of-service. We design a four-factor authentication protocol for resource mining. The formal verification of the proposed protocol is carried out using the Burrows–Abadi–Needham (BAN) logic and real-or-random (ROR) model. Its robustness is ensured by using the informal security analysis. The protocol is simulated using ProVerif to ensure the secrecy of variables and security from various attacks. Finally, a comparative analysis with the existing protocols is carried out to show its efficacy in a practical environment. Multi-factor security (dpeaa)DE-He213 ROR model (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Authentication (dpeaa)DE-He213 Om, Hari aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 2 vom: 23. Juli, Seite 1947-1971 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:2 day:23 month:07 pages:1947-1971 https://dx.doi.org/10.1007/s13369-022-07055-2 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_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_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_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_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 48 2022 2 23 07 1947-1971 |
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10.1007/s13369-022-07055-2 doi (DE-627)SPR049281917 (SPR)s13369-022-07055-2-e DE-627 ger DE-627 rakwb eng Rangwani, Diksha verfasserin (orcid)0000-0003-0462-0680 aut A Robust Four-Factor Authentication Protocol for Resource Mining 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022 Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current technological advancements, wireless sensor networks (WSNs) have become the backbone for resource mining. Using WSNs for resource mining gives ease of remote usage and decision-making with just a few clicks. However, the wireless channels are prone to various threats due to their openness, and safeguarding such a hazardous and valuable environment is essential. In this paper, we analyze the Wu et al.’s scheme and find that it suffers from various attacks like gateway impersonation, man-in-the-middle, privileged insider, sensor node impersonation, sensor node capture, session-specific transient information, and denial-of-service. We design a four-factor authentication protocol for resource mining. The formal verification of the proposed protocol is carried out using the Burrows–Abadi–Needham (BAN) logic and real-or-random (ROR) model. Its robustness is ensured by using the informal security analysis. The protocol is simulated using ProVerif to ensure the secrecy of variables and security from various attacks. Finally, a comparative analysis with the existing protocols is carried out to show its efficacy in a practical environment. Multi-factor security (dpeaa)DE-He213 ROR model (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Authentication (dpeaa)DE-He213 Om, Hari aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 2 vom: 23. Juli, Seite 1947-1971 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:2 day:23 month:07 pages:1947-1971 https://dx.doi.org/10.1007/s13369-022-07055-2 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_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_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_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_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 48 2022 2 23 07 1947-1971 |
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10.1007/s13369-022-07055-2 doi (DE-627)SPR049281917 (SPR)s13369-022-07055-2-e DE-627 ger DE-627 rakwb eng Rangwani, Diksha verfasserin (orcid)0000-0003-0462-0680 aut A Robust Four-Factor Authentication Protocol for Resource Mining 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022 Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current technological advancements, wireless sensor networks (WSNs) have become the backbone for resource mining. Using WSNs for resource mining gives ease of remote usage and decision-making with just a few clicks. However, the wireless channels are prone to various threats due to their openness, and safeguarding such a hazardous and valuable environment is essential. In this paper, we analyze the Wu et al.’s scheme and find that it suffers from various attacks like gateway impersonation, man-in-the-middle, privileged insider, sensor node impersonation, sensor node capture, session-specific transient information, and denial-of-service. We design a four-factor authentication protocol for resource mining. The formal verification of the proposed protocol is carried out using the Burrows–Abadi–Needham (BAN) logic and real-or-random (ROR) model. Its robustness is ensured by using the informal security analysis. The protocol is simulated using ProVerif to ensure the secrecy of variables and security from various attacks. Finally, a comparative analysis with the existing protocols is carried out to show its efficacy in a practical environment. Multi-factor security (dpeaa)DE-He213 ROR model (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Authentication (dpeaa)DE-He213 Om, Hari aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 2 vom: 23. Juli, Seite 1947-1971 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:2 day:23 month:07 pages:1947-1971 https://dx.doi.org/10.1007/s13369-022-07055-2 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_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_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_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_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 48 2022 2 23 07 1947-1971 |
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10.1007/s13369-022-07055-2 doi (DE-627)SPR049281917 (SPR)s13369-022-07055-2-e DE-627 ger DE-627 rakwb eng Rangwani, Diksha verfasserin (orcid)0000-0003-0462-0680 aut A Robust Four-Factor Authentication Protocol for Resource Mining 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2022 Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current technological advancements, wireless sensor networks (WSNs) have become the backbone for resource mining. Using WSNs for resource mining gives ease of remote usage and decision-making with just a few clicks. However, the wireless channels are prone to various threats due to their openness, and safeguarding such a hazardous and valuable environment is essential. In this paper, we analyze the Wu et al.’s scheme and find that it suffers from various attacks like gateway impersonation, man-in-the-middle, privileged insider, sensor node impersonation, sensor node capture, session-specific transient information, and denial-of-service. We design a four-factor authentication protocol for resource mining. The formal verification of the proposed protocol is carried out using the Burrows–Abadi–Needham (BAN) logic and real-or-random (ROR) model. Its robustness is ensured by using the informal security analysis. The protocol is simulated using ProVerif to ensure the secrecy of variables and security from various attacks. Finally, a comparative analysis with the existing protocols is carried out to show its efficacy in a practical environment. Multi-factor security (dpeaa)DE-He213 ROR model (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Authentication (dpeaa)DE-He213 Om, Hari aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 48(2022), 2 vom: 23. Juli, Seite 1947-1971 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:48 year:2022 number:2 day:23 month:07 pages:1947-1971 https://dx.doi.org/10.1007/s13369-022-07055-2 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_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_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_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_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 48 2022 2 23 07 1947-1971 |
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Rangwani, Diksha |
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Rangwani, Diksha misc Multi-factor security misc ROR model misc Mining misc Authentication A Robust Four-Factor Authentication Protocol for Resource Mining |
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A Robust Four-Factor Authentication Protocol for Resource Mining Multi-factor security (dpeaa)DE-He213 ROR model (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Authentication (dpeaa)DE-He213 |
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A Robust Four-Factor Authentication Protocol for Resource Mining |
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robust four-factor authentication protocol for resource mining |
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A Robust Four-Factor Authentication Protocol for Resource Mining |
| abstract |
Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current technological advancements, wireless sensor networks (WSNs) have become the backbone for resource mining. Using WSNs for resource mining gives ease of remote usage and decision-making with just a few clicks. However, the wireless channels are prone to various threats due to their openness, and safeguarding such a hazardous and valuable environment is essential. In this paper, we analyze the Wu et al.’s scheme and find that it suffers from various attacks like gateway impersonation, man-in-the-middle, privileged insider, sensor node impersonation, sensor node capture, session-specific transient information, and denial-of-service. We design a four-factor authentication protocol for resource mining. The formal verification of the proposed protocol is carried out using the Burrows–Abadi–Needham (BAN) logic and real-or-random (ROR) model. Its robustness is ensured by using the informal security analysis. The protocol is simulated using ProVerif to ensure the secrecy of variables and security from various attacks. Finally, a comparative analysis with the existing protocols is carried out to show its efficacy in a practical environment. © King Fahd University of Petroleum & Minerals 2022 |
| abstractGer |
Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current technological advancements, wireless sensor networks (WSNs) have become the backbone for resource mining. Using WSNs for resource mining gives ease of remote usage and decision-making with just a few clicks. However, the wireless channels are prone to various threats due to their openness, and safeguarding such a hazardous and valuable environment is essential. In this paper, we analyze the Wu et al.’s scheme and find that it suffers from various attacks like gateway impersonation, man-in-the-middle, privileged insider, sensor node impersonation, sensor node capture, session-specific transient information, and denial-of-service. We design a four-factor authentication protocol for resource mining. The formal verification of the proposed protocol is carried out using the Burrows–Abadi–Needham (BAN) logic and real-or-random (ROR) model. Its robustness is ensured by using the informal security analysis. The protocol is simulated using ProVerif to ensure the secrecy of variables and security from various attacks. Finally, a comparative analysis with the existing protocols is carried out to show its efficacy in a practical environment. © King Fahd University of Petroleum & Minerals 2022 |
| abstract_unstemmed |
Abstract Resource mining is the basic necessity for a country’s technological and economic development. Rare-earth elements reshape the economy of a country. Resources like silicon, aluminum, gold, quartz, potassium, iron, chromium, etc., are being used to develop the smart devices. With the current technological advancements, wireless sensor networks (WSNs) have become the backbone for resource mining. Using WSNs for resource mining gives ease of remote usage and decision-making with just a few clicks. However, the wireless channels are prone to various threats due to their openness, and safeguarding such a hazardous and valuable environment is essential. In this paper, we analyze the Wu et al.’s scheme and find that it suffers from various attacks like gateway impersonation, man-in-the-middle, privileged insider, sensor node impersonation, sensor node capture, session-specific transient information, and denial-of-service. We design a four-factor authentication protocol for resource mining. The formal verification of the proposed protocol is carried out using the Burrows–Abadi–Needham (BAN) logic and real-or-random (ROR) model. Its robustness is ensured by using the informal security analysis. The protocol is simulated using ProVerif to ensure the secrecy of variables and security from various attacks. Finally, a comparative analysis with the existing protocols is carried out to show its efficacy in a practical environment. © King Fahd University of Petroleum & Minerals 2022 |
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A Robust Four-Factor Authentication Protocol for Resource Mining |
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Om, Hari |
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10.1007/s13369-022-07055-2 |
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2024-07-04T00:09:59.293Z |
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