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AI-Enabled Digital Forensics and Cybersecurity
AI-Enabled Digital Forensics and Cybersecurity
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222,01 €
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This book discusses the transformative role of Artificial Intelligence in strengthening digital investigations and cybersecurity. It also examines how AI, machine learning, deep learning, and intelligent automation can support threat detection, malware analysis, anomaly identification, evidence collection, incident response, and cybercrime investigation in real world applications. It addresses emerging challenges including adversarial attacks, deepfakes, privacy concerns, explainable AI, and et…
  • Leidėjas:
  • Metai: 2027
  • Puslapiai: 346
  • ISBN-10: 1041275250
  • ISBN-13: 9781041275251
  • Kalba: Anglų

AI-Enabled Digital Forensics and Cybersecurity (el. knyga) (skaityta knyga) | knygos.lt

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This book discusses the transformative role of Artificial Intelligence in strengthening digital investigations and cybersecurity. It also examines how AI, machine learning, deep learning, and intelligent automation can support threat detection, malware analysis, anomaly identification, evidence collection, incident response, and cybercrime investigation in real world applications. It addresses emerging challenges including adversarial attacks, deepfakes, privacy concerns, explainable AI, and ethical issues in automated forensic decision-making. This book also highlights future opportunities through generative AI, blockchain, IoT, cloud forensics, and intelligent security frameworks, thus providing researchers, professionals, and students with valuable insights into the evolving cybersecurity landscape.

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  • Leidėjas:
  • Metai: 2027
  • Puslapiai: 346
  • ISBN-10: 1041275250
  • ISBN-13: 9781041275251
  • Kalba: Anglų

This book discusses the transformative role of Artificial Intelligence in strengthening digital investigations and cybersecurity. It also examines how AI, machine learning, deep learning, and intelligent automation can support threat detection, malware analysis, anomaly identification, evidence collection, incident response, and cybercrime investigation in real world applications. It addresses emerging challenges including adversarial attacks, deepfakes, privacy concerns, explainable AI, and ethical issues in automated forensic decision-making. This book also highlights future opportunities through generative AI, blockchain, IoT, cloud forensics, and intelligent security frameworks, thus providing researchers, professionals, and students with valuable insights into the evolving cybersecurity landscape.

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