Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission
Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always bee...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Saravana Kumar, N. M. [verfasserIn] Deepa, S. [verfasserIn] Marimuthu, C. N. [verfasserIn] Eswari, T. [verfasserIn] Lavanya, S. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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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, 87(2015), 2 vom: 11. Okt., Seite 431-442 |
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| Übergeordnetes Werk: |
volume:87 ; year:2015 ; number:2 ; day:11 ; month:10 ; pages:431-442 |
| Links: |
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| DOI / URN: |
10.1007/s11277-015-3070-2 |
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| Katalog-ID: |
SPR018573096 |
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| 245 | 1 | 0 | |a Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission |
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| 520 | |a Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks. | ||
| 650 | 4 | |a Security |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Signature |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Rule base |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Throughput |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Packet delivery ratio |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Deepa, S. |e verfasserin |4 aut | |
| 700 | 1 | |a Marimuthu, C. N. |e verfasserin |4 aut | |
| 700 | 1 | |a Eswari, T. |e verfasserin |4 aut | |
| 700 | 1 | |a Lavanya, S. |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Wireless personal communications |d Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 |g 87(2015), 2 vom: 11. Okt., Seite 431-442 |w (DE-627)271179120 |w (DE-600)1479327-1 |x 1572-834X |7 nnns |
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10.1007/s11277-015-3070-2 doi (DE-627)SPR018573096 (SPR)s11277-015-3070-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Saravana Kumar, N. M. verfasserin aut Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks. Security (dpeaa)DE-He213 Signature (dpeaa)DE-He213 Rule base (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Packet delivery ratio (dpeaa)DE-He213 Deepa, S. verfasserin aut Marimuthu, C. N. verfasserin aut Eswari, T. verfasserin aut Lavanya, S. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 87(2015), 2 vom: 11. Okt., Seite 431-442 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:87 year:2015 number:2 day:11 month:10 pages:431-442 https://dx.doi.org/10.1007/s11277-015-3070-2 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_4012 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 87 2015 2 11 10 431-442 |
| spelling |
10.1007/s11277-015-3070-2 doi (DE-627)SPR018573096 (SPR)s11277-015-3070-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Saravana Kumar, N. M. verfasserin aut Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks. Security (dpeaa)DE-He213 Signature (dpeaa)DE-He213 Rule base (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Packet delivery ratio (dpeaa)DE-He213 Deepa, S. verfasserin aut Marimuthu, C. N. verfasserin aut Eswari, T. verfasserin aut Lavanya, S. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 87(2015), 2 vom: 11. Okt., Seite 431-442 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:87 year:2015 number:2 day:11 month:10 pages:431-442 https://dx.doi.org/10.1007/s11277-015-3070-2 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_4012 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 87 2015 2 11 10 431-442 |
| allfields_unstemmed |
10.1007/s11277-015-3070-2 doi (DE-627)SPR018573096 (SPR)s11277-015-3070-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Saravana Kumar, N. M. verfasserin aut Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks. Security (dpeaa)DE-He213 Signature (dpeaa)DE-He213 Rule base (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Packet delivery ratio (dpeaa)DE-He213 Deepa, S. verfasserin aut Marimuthu, C. N. verfasserin aut Eswari, T. verfasserin aut Lavanya, S. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 87(2015), 2 vom: 11. Okt., Seite 431-442 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:87 year:2015 number:2 day:11 month:10 pages:431-442 https://dx.doi.org/10.1007/s11277-015-3070-2 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_4012 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 87 2015 2 11 10 431-442 |
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10.1007/s11277-015-3070-2 doi (DE-627)SPR018573096 (SPR)s11277-015-3070-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Saravana Kumar, N. M. verfasserin aut Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks. Security (dpeaa)DE-He213 Signature (dpeaa)DE-He213 Rule base (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Packet delivery ratio (dpeaa)DE-He213 Deepa, S. verfasserin aut Marimuthu, C. N. verfasserin aut Eswari, T. verfasserin aut Lavanya, S. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 87(2015), 2 vom: 11. Okt., Seite 431-442 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:87 year:2015 number:2 day:11 month:10 pages:431-442 https://dx.doi.org/10.1007/s11277-015-3070-2 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_4012 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 87 2015 2 11 10 431-442 |
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10.1007/s11277-015-3070-2 doi (DE-627)SPR018573096 (SPR)s11277-015-3070-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Saravana Kumar, N. M. verfasserin aut Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks. Security (dpeaa)DE-He213 Signature (dpeaa)DE-He213 Rule base (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Packet delivery ratio (dpeaa)DE-He213 Deepa, S. verfasserin aut Marimuthu, C. N. verfasserin aut Eswari, T. verfasserin aut Lavanya, S. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 87(2015), 2 vom: 11. Okt., Seite 431-442 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:87 year:2015 number:2 day:11 month:10 pages:431-442 https://dx.doi.org/10.1007/s11277-015-3070-2 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_4012 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 87 2015 2 11 10 431-442 |
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Enthalten in Wireless personal communications 87(2015), 2 vom: 11. Okt., Seite 431-442 volume:87 year:2015 number:2 day:11 month:10 pages:431-442 |
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Wireless personal communications |
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Saravana Kumar, N. M. @@aut@@ Deepa, S. @@aut@@ Marimuthu, C. N. @@aut@@ Eswari, T. @@aut@@ Lavanya, S. @@aut@@ |
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Saravana Kumar, N. M. |
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Saravana Kumar, N. M. ddc 620 bkl 53.00 misc Security misc Signature misc Rule base misc Throughput misc Packet delivery ratio Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission |
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620 ASE 53.00 bkl Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission Security (dpeaa)DE-He213 Signature (dpeaa)DE-He213 Rule base (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Packet delivery ratio (dpeaa)DE-He213 |
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Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission |
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Saravana Kumar, N. M. |
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signature based vulnerability detection over wireless sensor network for reliable data transmission |
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Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission |
| abstract |
Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks. |
| abstractGer |
Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks. |
| abstract_unstemmed |
Abstract Due to the significant improvement in wireless communication technology, the need of Wireless Sensor Networks (WSN) have a vital role in the areas such as military applications, environmental monitoring, health care, home or industrial automation etc. However such type of network always been vulnerable to security threats, because the WSN has the resource constraints such as low battery life, low processing power, small memory, deployment in hostile environment and the radio links for communication are insecure. Thus, it is necessary to use effective detection mechanism to prevent WSN from routing attacks for reliable data transmission. In this paper, a signature based detection approach is proposed for detecting the routing attacks. For every known attack it has certain signature, based on this the rules are designed with the rule base which are applied for detecting various routing attacks such as wormhole, black hole and sybil attack. The simulated results show that the proposed signature based approach improves the reliability of data by measuring the parameters such as throughput and packet delivery ratio while detecting the routing attacks. |
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Signature Based Vulnerability Detection Over Wireless Sensor Network for Reliable Data Transmission |
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https://dx.doi.org/10.1007/s11277-015-3070-2 |
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| author2 |
Deepa, S. Marimuthu, C. N. Eswari, T. Lavanya, S. |
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Deepa, S. Marimuthu, C. N. Eswari, T. Lavanya, S. |
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| doi_str |
10.1007/s11277-015-3070-2 |
| up_date |
2024-07-03T20:40:39.342Z |
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|
| score |
7.400978 |