A Data-Mining Based Study of Security Vulnerability Types and their Mitigation in Different Languages
  • Metaadatok
Tartalom: http://real.mtak.hu/114820/
Archívum: REAL
Gyűjtemény: Status = In Press
Subject = Q Science / természettudomány: QA Mathematics / matematika: QA76 Computer software / programozás
Type = Conference or Workshop Item
Cím:
A Data-Mining Based Study of Security Vulnerability Types and their Mitigation in Different Languages
Létrehozó:
Antal, Gábor
Mosolygó, Balázs
Vándor, Norbert
Hegedűs, Péter
Dátum:
2020-04-30
Téma:
QA76 Computer software / programozás
Nyelv:
magyar
Típus:
Conference or Workshop Item
PeerReviewed
info:eu-repo/semantics/conferenceObject
Formátum:
text
Azonosító:
Antal, Gábor and Mosolygó, Balázs and Vándor, Norbert and Hegedűs, Péter (2020) A Data-Mining Based Study of Security Vulnerability Types and their Mitigation in Different Languages. In: ICCSA 2020 : International Conference on Computational Science and Its Applications. (In Press)
Kapcsolat: