AI-Driven Cybersecurity (eBook)

Revolutionizing Threat Detection and Defence Systems
Artikelnummer: 978-1-040-42224-3
Einband: Adobe Digital Editions
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
CHF 100.60
decrease increase

1. Artificial Intelligence in Cybersecurity: Fundamentals, Challenges, and Opportunities 2. Artificial Intelligence Applications in Cybersecurity 3. Large Language Models (LLMs) for Cybersecurity 4. Machine Learning in Identifying Cyber Threats: A Research Overview 5. Advanced Data Analytics for Proactive Security 6. Malware Unmasked: AI-Driven Forensics for Threat Detection and Response 7. Leveraging AI/ML in Identity and Access Management (IAM) for Enterprise Security 8. Smart Cyber Defence: Leveraging AI for Real-Time Threat Detection and Mitigation 9. Leveraging AI in Cyber Defence: Transforming Modern Cybersecurity 10. AI Meets IDPS: A New Era in Cybersecurity 11. Real-Time Detection: Machine Learning Against Evolving Cyber Threats 12. Artificial Intelligence Powered Cyberattacks 13. Automating Cyber Threat Detection with AI and Machine Learning 14. Securing SD-WAN with Edge and Fog Computing: AI-Driven Optimization and Challenges

1. Artificial Intelligence in Cybersecurity: Fundamentals, Challenges, and Opportunities 2. Artificial Intelligence Applications in Cybersecurity 3. Large Language Models (LLMs) for Cybersecurity 4. Machine Learning in Identifying Cyber Threats: A Research Overview 5. Advanced Data Analytics for Proactive Security 6. Malware Unmasked: AI-Driven Forensics for Threat Detection and Response 7. Leveraging AI/ML in Identity and Access Management (IAM) for Enterprise Security 8. Smart Cyber Defence: Leveraging AI for Real-Time Threat Detection and Mitigation 9. Leveraging AI in Cyber Defence: Transforming Modern Cybersecurity 10. AI Meets IDPS: A New Era in Cybersecurity 11. Real-Time Detection: Machine Learning Against Evolving Cyber Threats 12. Artificial Intelligence Powered Cyberattacks 13. Automating Cyber Threat Detection with AI and Machine Learning 14. Securing SD-WAN with Edge and Fog Computing: AI-Driven Optimization and Challenges

Schreiben Sie Ihre eigene Bewertung
  • Nur registrierte Benutzer können Produkte bewerten
*
*
Schlecht
Sehr gut
*
*
*
*
VerlagTaylor & Francis Ebooks
EinbandAdobe Digital Editions
Erscheinungsjahr2025
Seitenangabe300 S.
AusgabekennzeichenEnglisch
Abbildungen54 schwarz-weiße Abbildungen, 1 schwarz-weiße Fotos, 53 schwarz-weiße Zeichnungen, 47 schwarz-weiße Tabellen
Masse6'273 KB
PlattformEPUB
AutorRazavi, Hooman (Hrsg.) / Ouaissa, Mariya (Hrsg.) / Ouaissa, Mariyam (Hrsg.) / Nakouri, Haïfa (Hrsg.) / Abdelgawad, Ahmed (Hrsg.)

Über den Autor Hooman (Hrsg.) Razavi

257847177

Weitere Titel von Hooman (Hrsg.) Razavi

Produktbewertungen
Nur registrierte Benutzer können Produkte bewerten