Implementation of NIDS Using Adaboost-based Machine Learning Algorithm

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Details

An Intrusion Detection System (IDS) is a defense system, which detects hostile activities in a network. The key is then to detect and possibly prevent activities that may compromise system security, or a hacking attempt in progress including reconnaissance/data collection phases that involve e.g. port scans One key feature of intrusion detection systems is their ability to provide a view of unusual activity and issue alerts notifying administrators and/or block a suspected connection. Intrusion detection is a process of identifying and responding to malicious activity targeted at computing and networking resources. In addition, IDS tools are capable of distinguishing between insider attacks originating from inside the organization coming from own employees or customers and external ones attacks and the threat posed by hackers.

Autorentext

Dharmaraj R. Patil ha 17 anni di esperienza di insegnamento. I suoi interessi di ricerca sono la sicurezza web, il rilevamento delle intrusioni e il web mining. Ha pubblicato molti articoli in conferenze e riviste internazionali/nazionali.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786139990368
    • Anzahl Seiten 104
    • Genre Allgemein & Lexika
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 173g
    • Größe H220mm x B150mm x T7mm
    • Jahr 2018
    • EAN 9786139990368
    • Format Kartonierter Einband
    • ISBN 613999036X
    • Veröffentlichung 27.12.2018
    • Titel Implementation of NIDS Using Adaboost-based Machine Learning Algorithm
    • Autor Dharmaraj Patil
    • Sprache Englisch

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