Dissertation/Thesis
Revolutionizing Cybersecurity with Groundbreaking Technology: A New Paradigm in Biometric, Neural, and AI- Driven Security
| Title: | Revolutionizing Cybersecurity with Groundbreaking Technology: A New Paradigm in Biometric, Neural, and AI- Driven Security |
|---|---|
| Authors: | Dzikowski, Ryszard |
| Contributors: | Dzikowski, Ryszard |
| Publisher Information: | Zenodo |
| Publication Year: | 2025 |
| Collection: | Zenodo |
| Subject Terms: | IntraCavi Technology, Cybersecurity, Neural Authentication, Biometric Security, AI-Driven Mechanisms, Biological Sensing, Multi-Factor Authentication, Real-Time AI Analysis, Emerging Cyber Threats, Secure Communication, Deepfake Defense, Continuous Authentication, Cybersecurity and Data Protection, Biometric Technology, Neural Interfaces, Artificial Intelligence in Security, Emerging Threat Mitigation, Digital Identity Safeguarding, Advanced Authentication Systems |
| Description: | This article presents a revolutionary approach to cybersecurity, integrating advanced IntraCavi technology with biometric, neural, and AI-driven mechanisms. The IntraCavi system combines dental pattern recognition, biological sensing, thought-based neural authentication, and real-time AI analysis to address emerging cyber threats. With applications in multi-factor authentication, continuous monitoring, and secure communication, the technology sets a new standard for safeguarding digital identities and sensitive data. By leveraging human biology and neural activity, it ensures comprehensive protection against both current and future cybersecurity challenges. |
| Document Type: | Thesis |
| Language: | English |
| Relation: | https://www.researchgate.net/publication/388145769_Revolutionizing_Cybersecurity_with_Groundbreaking_Technology_A_New_Paradigm_in_Biometric_Neural_and_AI-_Driven_Security; https://zenodo.org/records/14699601; oai:zenodo.org:14699601; https://doi.org/10.5281/zenodo.14699601 |
| DOI: | 10.5281/zenodo.14699601 |
| Availability: | https://doi.org/10.5281/zenodo.14699601 https://zenodo.org/records/14699601 https://www.researchgate.net/publication/388145769_Revolutionizing_Cybersecurity_with_Groundbreaking_Technology_A_New_Paradigm_in_Biometric_Neural_and_AI-_Driven_Security |
| Rights: | © 2025 Ryszard Dzikowski, licensed under CC BY-SA 4.0 |
| Accession Number: | edsbas.74582985 |
| Database: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://doi.org/10.5281/zenodo.14699601# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Header | DbId: edsbas DbLabel: BASE An: edsbas.74582985 RelevancyScore: 892 AccessLevel: 3 PubType: Dissertation/Thesis PubTypeId: unknown PreciseRelevancyScore: 891.935607910156 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Revolutionizing Cybersecurity with Groundbreaking Technology: A New Paradigm in Biometric, Neural, and AI- Driven Security – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dzikowski%2C+Ryszard%22">Dzikowski, Ryszard</searchLink> – Name: Author Label: Contributors Group: Au Data: Dzikowski, Ryszard – Name: Publisher Label: Publisher Information Group: PubInfo Data: Zenodo – Name: DatePubCY Label: Publication Year Group: Date Data: 2025 – Name: Subset Label: Collection Group: HoldingsInfo Data: Zenodo – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22IntraCavi+Technology%22">IntraCavi Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Cybersecurity%22">Cybersecurity</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+Authentication%22">Neural Authentication</searchLink><br /><searchLink fieldCode="DE" term="%22Biometric+Security%22">Biometric Security</searchLink><br /><searchLink fieldCode="DE" term="%22AI-Driven+Mechanisms%22">AI-Driven Mechanisms</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+Sensing%22">Biological Sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-Factor+Authentication%22">Multi-Factor Authentication</searchLink><br /><searchLink fieldCode="DE" term="%22Real-Time+AI+Analysis%22">Real-Time AI Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Emerging+Cyber+Threats%22">Emerging Cyber Threats</searchLink><br /><searchLink fieldCode="DE" term="%22Secure+Communication%22">Secure Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Deepfake+Defense%22">Deepfake Defense</searchLink><br /><searchLink fieldCode="DE" term="%22Continuous+Authentication%22">Continuous Authentication</searchLink><br /><searchLink fieldCode="DE" term="%22Cybersecurity+and+Data+Protection%22">Cybersecurity and Data Protection</searchLink><br /><searchLink fieldCode="DE" term="%22Biometric+Technology%22">Biometric Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+Interfaces%22">Neural Interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence+in+Security%22">Artificial Intelligence in Security</searchLink><br /><searchLink fieldCode="DE" term="%22Emerging+Threat+Mitigation%22">Emerging Threat Mitigation</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+Identity+Safeguarding%22">Digital Identity Safeguarding</searchLink><br /><searchLink fieldCode="DE" term="%22Advanced+Authentication+Systems%22">Advanced Authentication Systems</searchLink> – Name: Abstract Label: Description Group: Ab Data: This article presents a revolutionary approach to cybersecurity, integrating advanced IntraCavi technology with biometric, neural, and AI-driven mechanisms. The IntraCavi system combines dental pattern recognition, biological sensing, thought-based neural authentication, and real-time AI analysis to address emerging cyber threats. With applications in multi-factor authentication, continuous monitoring, and secure communication, the technology sets a new standard for safeguarding digital identities and sensitive data. By leveraging human biology and neural activity, it ensures comprehensive protection against both current and future cybersecurity challenges. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Thesis – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://www.researchgate.net/publication/388145769_Revolutionizing_Cybersecurity_with_Groundbreaking_Technology_A_New_Paradigm_in_Biometric_Neural_and_AI-_Driven_Security; https://zenodo.org/records/14699601; oai:zenodo.org:14699601; https://doi.org/10.5281/zenodo.14699601 – Name: DOI Label: DOI Group: ID Data: 10.5281/zenodo.14699601 – Name: URL Label: Availability Group: URL Data: https://doi.org/10.5281/zenodo.14699601<br />https://zenodo.org/records/14699601<br />https://www.researchgate.net/publication/388145769_Revolutionizing_Cybersecurity_with_Groundbreaking_Technology_A_New_Paradigm_in_Biometric_Neural_and_AI-_Driven_Security – Name: Copyright Label: Rights Group: Cpyrght Data: © 2025 Ryszard Dzikowski, licensed under CC BY-SA 4.0 – Name: AN Label: Accession Number Group: ID Data: edsbas.74582985 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.74582985 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5281/zenodo.14699601 Languages: – Text: English Subjects: – SubjectFull: IntraCavi Technology Type: general – SubjectFull: Cybersecurity Type: general – SubjectFull: Neural Authentication Type: general – SubjectFull: Biometric Security Type: general – SubjectFull: AI-Driven Mechanisms Type: general – SubjectFull: Biological Sensing Type: general – SubjectFull: Multi-Factor Authentication Type: general – SubjectFull: Real-Time AI Analysis Type: general – SubjectFull: Emerging Cyber Threats Type: general – SubjectFull: Secure Communication Type: general – SubjectFull: Deepfake Defense Type: general – SubjectFull: Continuous Authentication Type: general – SubjectFull: Cybersecurity and Data Protection Type: general – SubjectFull: Biometric Technology Type: general – SubjectFull: Neural Interfaces Type: general – SubjectFull: Artificial Intelligence in Security Type: general – SubjectFull: Emerging Threat Mitigation Type: general – SubjectFull: Digital Identity Safeguarding Type: general – SubjectFull: Advanced Authentication Systems Type: general Titles: – TitleFull: Revolutionizing Cybersecurity with Groundbreaking Technology: A New Paradigm in Biometric, Neural, and AI- Driven Security Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dzikowski, Ryszard – PersonEntity: Name: NameFull: Dzikowski, Ryszard IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa |
| ResultId | 1 |