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• LDR

  00000cam c22002058c 4500

• 001

  000001205754

• 005

  20251209105606

• 007

  ta

• 008

  251120s2025 us 001c0 eng c

• 020

  ▼a  9781394279265
  ▼q  (hardback)

• 020

  ▼z  9781394279319
  ▼q  (adobe pdf)

• 020

  ▼z  9781394279302
  ▼q  (epub)

• 035

  ▼a  (KERIS)REF000020732234

• 040

  ▼a  WaSeSS/DLC
  ▼b  eng
  ▼c  DLC
  ▼e  rda
  ▼d  211070

• 042

  ▼a  pcc

• 050

  ▼a  QA76.9.A25

• 090

  ▼a  QA76.9.A25
  ▼b  I82

• 245

  ▼a  Generative AI, cybersecurity, and ethics /
  ▼d  Mohammad Rubyet Islam

• 260

  ▼a  Hoboken, New Jersey :
  ▼b  Wiley,
  ▼c  [2025]

• 300

  ▼a  341 p. ;
  ▼c  23 cm

• 500

  ▼a  Includes index

• 520

  ▼a  "Generative AI (GenAI) is set to revolutionize cybersecurity by greatly improving threat detection, risk analysis, and response strategies, thus enhancing digital security. Governments and private organizations worldwide are increasingly recognizing the need for specific ethical and regulatory policies tailored to AI and cybersecurity. However, GenAI presents unique challenges not found in other AI sectors. The emergence of technologies like ChatGPT and advanced deepfake creation, which showcase GenAI's potential in cybersecurity, highlights the importance of targeted focus in this field. As GenAI continues to advance, it is expected that corresponding ethical and regulatory frameworks will also evolve, addressing critical issues such as data privacy, consent, and accountability that are particularly relevant to the rapid progress and implementation of GenAI."--
  ▼c  Provided by publisher

• 650

  ▼a  Computer security

• 650

  ▼a  Artificial intelligence

• 700

  ▼a  Islam, Ray
  ▼q  (Mohammad Rubyet),
  ▼e  author

• 950

  ▼b  $110

• 991

  ▼a  단행본