Filter by

  • Publication Year
  • Availability
  • Attachment
  • Collection Type
    See More
  • General Material Designation
    See More
  • Location
    See More
  • Language
    See More
Found 1 from your keywords: author=Fitriani, Zarah 
cover
VISUALISASI SERANGAN MALWARE SPYWARE DENGAN MENGGUNAKAN METODE SUPPORT VECTOR…
Comment Share
Fitriani, Zarah 

Spyware malware attacks are a significant threat to computer hardware and user privacy. To analyze and make it easier to recognize such attacks effectively, visualization techniques can provide valuable insights into their patterns and characteristics. This research using a machine learning algorithm, Support Vector Machine (SVM). The dataset used in this study is from the CIC MalMem 2022 which…

Edition
-
ISBN/ISSN
-
Collation
xiv, 71 hlm.; Ilus.; 29 cm
Series Title
-
Call Number
T1120822023