Artificial intelligence and blockchain in digital forensics:
Digital forensics is the science of detecting evidence from digital media like a computer, smart phone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases an...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Gistrup, Denmark
River Publishers
2023
London ; New York Routledge |
| Schriftenreihe: | River Publishers series in digital security and forensics
|
| Schlagworte: | |
| Online-Zugang: | DE-573 DE-91 URL des Erstveröffentlichers |
| Zusammenfassung: | Digital forensics is the science of detecting evidence from digital media like a computer, smart phone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, has meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. This book can provide a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market |
| Beschreibung: | 1 Online-Ressource (xxxi, 263 Seiten) Illustrationen, Diagramme |
| ISBN: | 9788770226875 8770226873 9781003374671 1003374670 9781000848069 100084806X 9781000848083 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049458491 | ||
| 003 | DE-604 | ||
| 005 | 20240906 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 231208s2023 |||| o||u| ||||||eng d | ||
| 020 | |a 9788770226875 |9 978-87-7022-687-5 | ||
| 020 | |a 8770226873 |9 8770226873 | ||
| 020 | |a 9781003374671 |9 978-1-003-37467-1 | ||
| 020 | |a 1003374670 |9 1003374670 | ||
| 020 | |a 9781000848069 |9 978-10-0084-806-9 | ||
| 020 | |a 100084806X |9 100084806X | ||
| 020 | |a 9781000848083 |9 978-1-00-084808-3 | ||
| 035 | |a (ZDB-30-PQE)EBC7152204 | ||
| 035 | |a (ZDB-30-PAD)EBC7152204 | ||
| 035 | |a (ZDB-89-EBL)EBL7152204 | ||
| 035 | |a (OCoLC)1414543657 | ||
| 035 | |a (DE-599)BVBBV049458491 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-573 |a DE-91 | ||
| 245 | 1 | 0 | |a Artificial intelligence and blockchain in digital forensics |c editors P. Karthikeyan, Hari Mohan Pandey, Velliangiri Sarveshwaran |
| 264 | 1 | |a Gistrup, Denmark |b River Publishers |c 2023 | |
| 264 | 1 | |a London ; New York |b Routledge | |
| 300 | |a 1 Online-Ressource (xxxi, 263 Seiten) |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a River Publishers series in digital security and forensics | |
| 505 | 8 | |a Digital forensics meets AI : a game-changer for the 4th Industrial Revolution -- Mitigating and controlling virtual addiction through web forensics and deep learning -- Automatic identification of cyber predators using text analytics and machine learning -- CNN classification approach to detecting abusive content in text messages -- Detection of online sexual predatory chats using deep learning -- Enhancing ATM security in the forensic domain using artificial intelligence -- Network forensics architecture for mitigating attacks in software-defined networks -- The self-destructive behavioural effects of virtual addiction on cyber crime scene investigation of victimless crimes -- The future of artificial intelligence in digital forensics : a revolutionary approach -- Blockchain bsed digital forensics : a fundamental perspective -- Digital forensics identity to improve transparency in block chain technology using artificial intelligence -- Forensic analysis of online social network data in crime scene investigation -- Blockchain-based privacy preservation technique for digital forensics records -- Multilevel consensus blockchain algorithm for digital forensics on medical data during the COVID 19 situation -- Blockchain-based identity management systems in digital forensics | |
| 520 | 3 | |a Digital forensics is the science of detecting evidence from digital media like a computer, smart phone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, has meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. This book can provide a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market | |
| 653 | 0 | |a Digital forensic science | |
| 653 | 0 | |a Artificial intelligence | |
| 653 | 0 | |a Blockchains (Databases) | |
| 653 | 0 | |a Intelligence artificielle | |
| 653 | 0 | |a Chaînes de blocs | |
| 653 | 0 | |a artificial intelligence | |
| 653 | 0 | |a Artificial intelligence | |
| 653 | 0 | |a Blockchains (Databases) | |
| 653 | 0 | |a Digital forensic science | |
| 700 | 1 | |a Karthikeyan, Periasamy |d 1981- |0 (DE-588)1198166355 |4 edt | |
| 700 | 1 | |a Pandey, Hari Mohan |0 (DE-588)1273477804 |4 edt | |
| 700 | 1 | |a Sarveshwaran, Velliangiri |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-87-7022-688-2 |
| 856 | 4 | 0 | |u https://ieeexplore.ieee.org/book/9933495 |x Aggregator |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-37-RPEB |a ZDB-30-PQE | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034804257 | |
| 966 | e | |u https://ieeexplore.ieee.org/book/9933495 |l DE-573 |p ZDB-37-RPEB |x Verlag |3 Volltext | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=7152204 |l DE-91 |p ZDB-30-PQE |q TUM_PDA_PQE_Kauf_2024 |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1809493925009817600 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Karthikeyan, Periasamy 1981- Pandey, Hari Mohan Sarveshwaran, Velliangiri |
| author2_role | edt edt edt |
| author2_variant | p k pk h m p hm hmp v s vs |
| author_GND | (DE-588)1198166355 (DE-588)1273477804 |
| author_facet | Karthikeyan, Periasamy 1981- Pandey, Hari Mohan Sarveshwaran, Velliangiri |
| building | Verbundindex |
| bvnumber | BV049458491 |
| collection | ZDB-37-RPEB ZDB-30-PQE |
| contents | Digital forensics meets AI : a game-changer for the 4th Industrial Revolution -- Mitigating and controlling virtual addiction through web forensics and deep learning -- Automatic identification of cyber predators using text analytics and machine learning -- CNN classification approach to detecting abusive content in text messages -- Detection of online sexual predatory chats using deep learning -- Enhancing ATM security in the forensic domain using artificial intelligence -- Network forensics architecture for mitigating attacks in software-defined networks -- The self-destructive behavioural effects of virtual addiction on cyber crime scene investigation of victimless crimes -- The future of artificial intelligence in digital forensics : a revolutionary approach -- Blockchain bsed digital forensics : a fundamental perspective -- Digital forensics identity to improve transparency in block chain technology using artificial intelligence -- Forensic analysis of online social network data in crime scene investigation -- Blockchain-based privacy preservation technique for digital forensics records -- Multilevel consensus blockchain algorithm for digital forensics on medical data during the COVID 19 situation -- Blockchain-based identity management systems in digital forensics |
| ctrlnum | (ZDB-30-PQE)EBC7152204 (ZDB-30-PAD)EBC7152204 (ZDB-89-EBL)EBL7152204 (OCoLC)1414543657 (DE-599)BVBBV049458491 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000 c 4500</leader><controlfield tag="001">BV049458491</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240906</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">231208s2023 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9788770226875</subfield><subfield code="9">978-87-7022-687-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">8770226873</subfield><subfield code="9">8770226873</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781003374671</subfield><subfield code="9">978-1-003-37467-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1003374670</subfield><subfield code="9">1003374670</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781000848069</subfield><subfield code="9">978-10-0084-806-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">100084806X</subfield><subfield code="9">100084806X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781000848083</subfield><subfield code="9">978-1-00-084808-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC7152204</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PAD)EBC7152204</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-89-EBL)EBL7152204</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1414543657</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049458491</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield><subfield code="a">DE-91</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial intelligence and blockchain in digital forensics</subfield><subfield code="c">editors P. Karthikeyan, Hari Mohan Pandey, Velliangiri Sarveshwaran</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Gistrup, Denmark</subfield><subfield code="b">River Publishers</subfield><subfield code="c">2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London ; New York</subfield><subfield code="b">Routledge</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xxxi, 263 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">River Publishers series in digital security and forensics</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Digital forensics meets AI : a game-changer for the 4th Industrial Revolution -- Mitigating and controlling virtual addiction through web forensics and deep learning -- Automatic identification of cyber predators using text analytics and machine learning -- CNN classification approach to detecting abusive content in text messages -- Detection of online sexual predatory chats using deep learning -- Enhancing ATM security in the forensic domain using artificial intelligence -- Network forensics architecture for mitigating attacks in software-defined networks -- The self-destructive behavioural effects of virtual addiction on cyber crime scene investigation of victimless crimes -- The future of artificial intelligence in digital forensics : a revolutionary approach -- Blockchain bsed digital forensics : a fundamental perspective -- Digital forensics identity to improve transparency in block chain technology using artificial intelligence -- Forensic analysis of online social network data in crime scene investigation -- Blockchain-based privacy preservation technique for digital forensics records -- Multilevel consensus blockchain algorithm for digital forensics on medical data during the COVID 19 situation -- Blockchain-based identity management systems in digital forensics</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Digital forensics is the science of detecting evidence from digital media like a computer, smart phone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, has meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. This book can provide a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Digital forensic science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Blockchains (Databases)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Intelligence artificielle</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Chaînes de blocs</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Blockchains (Databases)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Digital forensic science</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Karthikeyan, Periasamy</subfield><subfield code="d">1981-</subfield><subfield code="0">(DE-588)1198166355</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pandey, Hari Mohan</subfield><subfield code="0">(DE-588)1273477804</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sarveshwaran, Velliangiri</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-87-7022-688-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ieeexplore.ieee.org/book/9933495</subfield><subfield code="x">Aggregator</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-37-RPEB</subfield><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034804257</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ieeexplore.ieee.org/book/9933495</subfield><subfield code="l">DE-573</subfield><subfield code="p">ZDB-37-RPEB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=7152204</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">TUM_PDA_PQE_Kauf_2024</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049458491 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:14:18Z |
| indexdate | 2024-09-07T00:11:21Z |
| institution | BVB |
| isbn | 9788770226875 8770226873 9781003374671 1003374670 9781000848069 100084806X 9781000848083 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034804257 |
| oclc_num | 1414543657 |
| open_access_boolean | |
| owner | DE-573 DE-91 DE-BY-TUM |
| owner_facet | DE-573 DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xxxi, 263 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-37-RPEB ZDB-30-PQE ZDB-30-PQE TUM_PDA_PQE_Kauf_2024 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | River Publishers Routledge |
| record_format | marc |
| series2 | River Publishers series in digital security and forensics |
| spelling | Artificial intelligence and blockchain in digital forensics editors P. Karthikeyan, Hari Mohan Pandey, Velliangiri Sarveshwaran Gistrup, Denmark River Publishers 2023 London ; New York Routledge 1 Online-Ressource (xxxi, 263 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier River Publishers series in digital security and forensics Digital forensics meets AI : a game-changer for the 4th Industrial Revolution -- Mitigating and controlling virtual addiction through web forensics and deep learning -- Automatic identification of cyber predators using text analytics and machine learning -- CNN classification approach to detecting abusive content in text messages -- Detection of online sexual predatory chats using deep learning -- Enhancing ATM security in the forensic domain using artificial intelligence -- Network forensics architecture for mitigating attacks in software-defined networks -- The self-destructive behavioural effects of virtual addiction on cyber crime scene investigation of victimless crimes -- The future of artificial intelligence in digital forensics : a revolutionary approach -- Blockchain bsed digital forensics : a fundamental perspective -- Digital forensics identity to improve transparency in block chain technology using artificial intelligence -- Forensic analysis of online social network data in crime scene investigation -- Blockchain-based privacy preservation technique for digital forensics records -- Multilevel consensus blockchain algorithm for digital forensics on medical data during the COVID 19 situation -- Blockchain-based identity management systems in digital forensics Digital forensics is the science of detecting evidence from digital media like a computer, smart phone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, has meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. This book can provide a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market Digital forensic science Artificial intelligence Blockchains (Databases) Intelligence artificielle Chaînes de blocs artificial intelligence Karthikeyan, Periasamy 1981- (DE-588)1198166355 edt Pandey, Hari Mohan (DE-588)1273477804 edt Sarveshwaran, Velliangiri edt Erscheint auch als Druck-Ausgabe 978-87-7022-688-2 https://ieeexplore.ieee.org/book/9933495 Aggregator URL des Erstveröffentlichers Volltext |
| spellingShingle | Artificial intelligence and blockchain in digital forensics Digital forensics meets AI : a game-changer for the 4th Industrial Revolution -- Mitigating and controlling virtual addiction through web forensics and deep learning -- Automatic identification of cyber predators using text analytics and machine learning -- CNN classification approach to detecting abusive content in text messages -- Detection of online sexual predatory chats using deep learning -- Enhancing ATM security in the forensic domain using artificial intelligence -- Network forensics architecture for mitigating attacks in software-defined networks -- The self-destructive behavioural effects of virtual addiction on cyber crime scene investigation of victimless crimes -- The future of artificial intelligence in digital forensics : a revolutionary approach -- Blockchain bsed digital forensics : a fundamental perspective -- Digital forensics identity to improve transparency in block chain technology using artificial intelligence -- Forensic analysis of online social network data in crime scene investigation -- Blockchain-based privacy preservation technique for digital forensics records -- Multilevel consensus blockchain algorithm for digital forensics on medical data during the COVID 19 situation -- Blockchain-based identity management systems in digital forensics |
| title | Artificial intelligence and blockchain in digital forensics |
| title_auth | Artificial intelligence and blockchain in digital forensics |
| title_exact_search | Artificial intelligence and blockchain in digital forensics |
| title_exact_search_txtP | Artificial intelligence and blockchain in digital forensics |
| title_full | Artificial intelligence and blockchain in digital forensics editors P. Karthikeyan, Hari Mohan Pandey, Velliangiri Sarveshwaran |
| title_fullStr | Artificial intelligence and blockchain in digital forensics editors P. Karthikeyan, Hari Mohan Pandey, Velliangiri Sarveshwaran |
| title_full_unstemmed | Artificial intelligence and blockchain in digital forensics editors P. Karthikeyan, Hari Mohan Pandey, Velliangiri Sarveshwaran |
| title_short | Artificial intelligence and blockchain in digital forensics |
| title_sort | artificial intelligence and blockchain in digital forensics |
| url | https://ieeexplore.ieee.org/book/9933495 |
| work_keys_str_mv | AT karthikeyanperiasamy artificialintelligenceandblockchainindigitalforensics AT pandeyharimohan artificialintelligenceandblockchainindigitalforensics AT sarveshwaranvelliangiri artificialintelligenceandblockchainindigitalforensics |