Digital Innovation Adoption: Architectural Recommendations and Security Solutions
Saved in:
| Title: | Digital Innovation Adoption: Architectural Recommendations and Security Solutions |
|---|---|
| Description: | This reference reviews the architectural requirements of IT systems that are designed to digitally transform business operations. It is a compilation of 7 timely reviews that demonstrate how adopting emerging technologies and examining the security-based concerns can lead to innovation in the business sector. The aim of the book is to guide scholars and business consultants on IT and business frameworks that can help new and existing organizations navigate the challenges posed by disruptive technologies to create a competitive advantage. The reviews are contributed by experts in business and information technology.The chapters cover diverse topics related to technological advancements and digital security measures. Chapter 1 offers insights into accessing and securing patient medical records through a blockchain-based framework, detailing research methodology, scalability, and standards. Chapter 2 discusses cyber threats in IoT-connected cars, addressing vulnerabilities, attack methods, and defense strategies. Chapter 3 focuses on malware analysis and detection using machine learning techniques. Chapter 4 emphasizes on securing IoT-based home automation. Chapter 5 presents an IoT policy and governance reference architecture to ensure integrity and security across devices. Chapter 6 explores organizational security improvements to prevent deepfake ransomware. Finally, Chapter 7 examines the use of machine learning in credit card fraud detection, discussing challenges and control layers. |
| Authors: | Muhammad, Ehsan Rana, Manoj, Jayabalan |
| Resource Type: | eBook. |
| Subjects: | Computers, Computer security, Electronic books |
| Categories: | COMPUTERS / Computer Architecture, COMPUTERS / Security / General, COMPUTERS / Data Science / Machine Learning |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 3953294 RelevancyScore: 1123 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1122.83581542969 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3953294$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3953294$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: Digital Innovation Adoption: Architectural Recommendations and Security Solutions – Name: Abstract Label: Description Group: Ab Data: This reference reviews the architectural requirements of IT systems that are designed to digitally transform business operations. It is a compilation of 7 timely reviews that demonstrate how adopting emerging technologies and examining the security-based concerns can lead to innovation in the business sector. The aim of the book is to guide scholars and business consultants on IT and business frameworks that can help new and existing organizations navigate the challenges posed by disruptive technologies to create a competitive advantage. The reviews are contributed by experts in business and information technology.The chapters cover diverse topics related to technological advancements and digital security measures. Chapter 1 offers insights into accessing and securing patient medical records through a blockchain-based framework, detailing research methodology, scalability, and standards. Chapter 2 discusses cyber threats in IoT-connected cars, addressing vulnerabilities, attack methods, and defense strategies. Chapter 3 focuses on malware analysis and detection using machine learning techniques. Chapter 4 emphasizes on securing IoT-based home automation. Chapter 5 presents an IoT policy and governance reference architecture to ensure integrity and security across devices. Chapter 6 explores organizational security improvements to prevent deepfake ransomware. Finally, Chapter 7 examines the use of machine learning in credit card fraud detection, discussing challenges and control layers. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Muhammad%2C+Ehsan+Rana%22">Muhammad, Ehsan Rana</searchLink><br /><searchLink fieldCode="AR" term="%22Manoj%2C+Jayabalan%22">Manoj, Jayabalan</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computers%22">Computers</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+security%22">Computer security</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+books%22">Electronic books</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Computer+Architecture%22">COMPUTERS / Computer Architecture</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Security+%2F+General%22">COMPUTERS / Security / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3953294 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English Subjects: – SubjectFull: Computers Type: general – SubjectFull: Computer security Type: general – SubjectFull: Electronic books Type: general Titles: – TitleFull: Digital Innovation Adoption: Architectural Recommendations and Security Solutions Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Muhammad, Ehsan Rana – PersonEntity: Name: NameFull: Manoj, Jayabalan – PersonEntity: Name: NameFull: Muhammad, Ehsan Rana – PersonEntity: Name: NameFull: Manoj, Jayabalan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 29 M: 07 Type: profile Y: 2025 Identifiers: – Type: isbn-print Value: 9789815079678 – Type: isbn-electronic Value: 9789815079661 Titles: – TitleFull: Digital Innovation Adoption: Architectural Recommendations and Security Solutions Type: main |
| ResultId | 1 |