1 option
Sekyuriti enjinia no tame no kikai gakushū : AI gijutsu ni yoru saibā sekyuriti taisaku nyūmon / Chiheb Chebbi cho ; Arai Yū, Ichinose Sayo, Kurogome Yūma yaku = Mastering machine learning for penetration testing : develop an extensive skill set to break self-learning systems using Python / Chiheb Chebbi.
- Format:
- Book
- Author/Creator:
- Chebbi, Chiheb, author.
- Standardized Title:
- Mastering machine learning for penetration testing. Japanese
- Language:
- Japanese
- Subjects (All):
- Computer security.
- Computer networks--Security measures.
- Computer networks.
- Penetration testing (Computer security).
- Machine learning.
- Python (Computer program language).
- Physical Description:
- 1 online resource (312 pages)
- Edition:
- Shohan.
- Place of Publication:
- Tōkyō-to Shinjuku-ku : Orairī Japan, 2021.
- Notes:
- OCLC-licensed vendor bibliographic record.
- ISBN:
- 9784873119076
- 4873119073
- OCLC:
- 1346666500
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.