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Artikel-Nr. 37089715


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Autor(en): 
  • Virendra
  • Security Enhancement of Big Data Analysis using Artificial Intelligence 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  September 2022  
    Genre:  Psychologie / Pädagogik 
    ISBN:  9798888059517 
    EAN-Code: 
    9798888059517 
    Verlag:  Notion Press 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 9 mm 
    Gewicht:  223 gr 
    Seiten:  146 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In this book, Protecting the privacy of computer networks containing consumer data is a vital concern for people, businesses, and governments. There has been a spike in threats/attacks on famous websites as attacks against networked networks are becoming more frightening and new techniques to target them are being used every day. Additionally, intrusion protection is used to prevent outside attempts by hackers and scammers. One approach to developing an intrusion detection system (IDS) is by learning from human-written traffic logs. Currently, the IDS needs two essential, discriminating and representative characteristics, all in order to have a high accuracy. An example is the "sparse" or "dimensionality" reduction strategies AE and PCA (PCA). The attribute extraction strategies employed by the speech recognition market are then used to create an RF classification simulation technique with K-Mean Cluster. The attempt to reduce the features of the dataset "CICIDs" from 78 to 45 is going to reduce the features of the dataset from 78 to 45 while maintaining a high precision of 99.7% in the Random Forest classifier with k-means clustering.

      



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