Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain

Gathering evidence in cybercrime is a complex process. Under this premise, it is very important to have cutting-edge methodologies that allow the observation of criminal phenomena on the Internet and protect the personal integrity of the investigator, especially when the content is extremely critica...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Gallo-Serpillo, Facundo [verfasserIn] Valls-Prieto, Javier [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	CSEM Cybercrime Dark web Honeypot Geolocation

Übergeordnetes Werk:	Enthalten in: Computers in human behavior - Amsterdam [u.a.] : Elsevier Science, 1985, 154
Übergeordnetes Werk:	volume:154

DOI / URN:	10.1016/j.chb.2024.108137

Katalog-ID:	ELV067097448

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allfields	10.1016/j.chb.2024.108137 doi (DE-627)ELV067097448 (ELSEVIER)S0747-5632(24)00004-9 DE-627 ger DE-627 rda eng 004 150 300 VZ Gallo-Serpillo, Facundo verfasserin (orcid)0000-0002-5189-1128 aut Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gathering evidence in cybercrime is a complex process. Under this premise, it is very important to have cutting-edge methodologies that allow the observation of criminal phenomena on the Internet and protect the personal integrity of the investigator, especially when the content is extremely critical and is located in the so-called dark zone of the Internet (hereinafter Dark Web). This article develops a new research methodology in the field of cybercrime based on the use of honeypots, and its main objective is to evaluate the ability to de-anonymize users in the Tor network to collect geographic coordinates and demographic data on the Dark Web in order to obtain digital evidence related to minors sexual (CSEM) offenders. The information collected aims to map the consumption of CSEM through cartograms, with a particular focus on the Spanish territory. The outcomes demonstrate the ability of using honeypots to assess the prevalence of CSEM consumption on the Dark Web. Future improvements of the methodology will be discussed. CSEM Cybercrime Dark web Honeypot Geolocation Valls-Prieto, Javier verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 154 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 154
spelling	10.1016/j.chb.2024.108137 doi (DE-627)ELV067097448 (ELSEVIER)S0747-5632(24)00004-9 DE-627 ger DE-627 rda eng 004 150 300 VZ Gallo-Serpillo, Facundo verfasserin (orcid)0000-0002-5189-1128 aut Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gathering evidence in cybercrime is a complex process. Under this premise, it is very important to have cutting-edge methodologies that allow the observation of criminal phenomena on the Internet and protect the personal integrity of the investigator, especially when the content is extremely critical and is located in the so-called dark zone of the Internet (hereinafter Dark Web). This article develops a new research methodology in the field of cybercrime based on the use of honeypots, and its main objective is to evaluate the ability to de-anonymize users in the Tor network to collect geographic coordinates and demographic data on the Dark Web in order to obtain digital evidence related to minors sexual (CSEM) offenders. The information collected aims to map the consumption of CSEM through cartograms, with a particular focus on the Spanish territory. The outcomes demonstrate the ability of using honeypots to assess the prevalence of CSEM consumption on the Dark Web. Future improvements of the methodology will be discussed. CSEM Cybercrime Dark web Honeypot Geolocation Valls-Prieto, Javier verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 154 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 154
allfields_unstemmed	10.1016/j.chb.2024.108137 doi (DE-627)ELV067097448 (ELSEVIER)S0747-5632(24)00004-9 DE-627 ger DE-627 rda eng 004 150 300 VZ Gallo-Serpillo, Facundo verfasserin (orcid)0000-0002-5189-1128 aut Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gathering evidence in cybercrime is a complex process. Under this premise, it is very important to have cutting-edge methodologies that allow the observation of criminal phenomena on the Internet and protect the personal integrity of the investigator, especially when the content is extremely critical and is located in the so-called dark zone of the Internet (hereinafter Dark Web). This article develops a new research methodology in the field of cybercrime based on the use of honeypots, and its main objective is to evaluate the ability to de-anonymize users in the Tor network to collect geographic coordinates and demographic data on the Dark Web in order to obtain digital evidence related to minors sexual (CSEM) offenders. The information collected aims to map the consumption of CSEM through cartograms, with a particular focus on the Spanish territory. The outcomes demonstrate the ability of using honeypots to assess the prevalence of CSEM consumption on the Dark Web. Future improvements of the methodology will be discussed. CSEM Cybercrime Dark web Honeypot Geolocation Valls-Prieto, Javier verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 154 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 154
allfieldsGer	10.1016/j.chb.2024.108137 doi (DE-627)ELV067097448 (ELSEVIER)S0747-5632(24)00004-9 DE-627 ger DE-627 rda eng 004 150 300 VZ Gallo-Serpillo, Facundo verfasserin (orcid)0000-0002-5189-1128 aut Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gathering evidence in cybercrime is a complex process. Under this premise, it is very important to have cutting-edge methodologies that allow the observation of criminal phenomena on the Internet and protect the personal integrity of the investigator, especially when the content is extremely critical and is located in the so-called dark zone of the Internet (hereinafter Dark Web). This article develops a new research methodology in the field of cybercrime based on the use of honeypots, and its main objective is to evaluate the ability to de-anonymize users in the Tor network to collect geographic coordinates and demographic data on the Dark Web in order to obtain digital evidence related to minors sexual (CSEM) offenders. The information collected aims to map the consumption of CSEM through cartograms, with a particular focus on the Spanish territory. The outcomes demonstrate the ability of using honeypots to assess the prevalence of CSEM consumption on the Dark Web. Future improvements of the methodology will be discussed. CSEM Cybercrime Dark web Honeypot Geolocation Valls-Prieto, Javier verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 154 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 154
allfieldsSound	10.1016/j.chb.2024.108137 doi (DE-627)ELV067097448 (ELSEVIER)S0747-5632(24)00004-9 DE-627 ger DE-627 rda eng 004 150 300 VZ Gallo-Serpillo, Facundo verfasserin (orcid)0000-0002-5189-1128 aut Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gathering evidence in cybercrime is a complex process. Under this premise, it is very important to have cutting-edge methodologies that allow the observation of criminal phenomena on the Internet and protect the personal integrity of the investigator, especially when the content is extremely critical and is located in the so-called dark zone of the Internet (hereinafter Dark Web). This article develops a new research methodology in the field of cybercrime based on the use of honeypots, and its main objective is to evaluate the ability to de-anonymize users in the Tor network to collect geographic coordinates and demographic data on the Dark Web in order to obtain digital evidence related to minors sexual (CSEM) offenders. The information collected aims to map the consumption of CSEM through cartograms, with a particular focus on the Spanish territory. The outcomes demonstrate the ability of using honeypots to assess the prevalence of CSEM consumption on the Dark Web. Future improvements of the methodology will be discussed. CSEM Cybercrime Dark web Honeypot Geolocation Valls-Prieto, Javier verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 154 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 154
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author	Gallo-Serpillo, Facundo
spellingShingle	Gallo-Serpillo, Facundo ddc 004 misc CSEM misc Cybercrime misc Dark web misc Honeypot misc Geolocation Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain
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title	Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain
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title_full	Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain
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title_sort	analysis of csem offenders on the dark web using honeypots to geolocate ip addresses from spain
title_auth	Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain
abstract	Gathering evidence in cybercrime is a complex process. Under this premise, it is very important to have cutting-edge methodologies that allow the observation of criminal phenomena on the Internet and protect the personal integrity of the investigator, especially when the content is extremely critical and is located in the so-called dark zone of the Internet (hereinafter Dark Web). This article develops a new research methodology in the field of cybercrime based on the use of honeypots, and its main objective is to evaluate the ability to de-anonymize users in the Tor network to collect geographic coordinates and demographic data on the Dark Web in order to obtain digital evidence related to minors sexual (CSEM) offenders. The information collected aims to map the consumption of CSEM through cartograms, with a particular focus on the Spanish territory. The outcomes demonstrate the ability of using honeypots to assess the prevalence of CSEM consumption on the Dark Web. Future improvements of the methodology will be discussed.
abstractGer	Gathering evidence in cybercrime is a complex process. Under this premise, it is very important to have cutting-edge methodologies that allow the observation of criminal phenomena on the Internet and protect the personal integrity of the investigator, especially when the content is extremely critical and is located in the so-called dark zone of the Internet (hereinafter Dark Web). This article develops a new research methodology in the field of cybercrime based on the use of honeypots, and its main objective is to evaluate the ability to de-anonymize users in the Tor network to collect geographic coordinates and demographic data on the Dark Web in order to obtain digital evidence related to minors sexual (CSEM) offenders. The information collected aims to map the consumption of CSEM through cartograms, with a particular focus on the Spanish territory. The outcomes demonstrate the ability of using honeypots to assess the prevalence of CSEM consumption on the Dark Web. Future improvements of the methodology will be discussed.
abstract_unstemmed	Gathering evidence in cybercrime is a complex process. Under this premise, it is very important to have cutting-edge methodologies that allow the observation of criminal phenomena on the Internet and protect the personal integrity of the investigator, especially when the content is extremely critical and is located in the so-called dark zone of the Internet (hereinafter Dark Web). This article develops a new research methodology in the field of cybercrime based on the use of honeypots, and its main objective is to evaluate the ability to de-anonymize users in the Tor network to collect geographic coordinates and demographic data on the Dark Web in order to obtain digital evidence related to minors sexual (CSEM) offenders. The information collected aims to map the consumption of CSEM through cartograms, with a particular focus on the Spanish territory. The outcomes demonstrate the ability of using honeypots to assess the prevalence of CSEM consumption on the Dark Web. Future improvements of the methodology will be discussed.
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title_short	Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain
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author2	Valls-Prieto, Javier
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doi_str	10.1016/j.chb.2024.108137
up_date	2024-07-06T20:04:53.085Z
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Analysis of CSEM offenders on the dark web using honeypots to geolocate IP addresses from Spain

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