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Intrusion Detection Systems-Scitus at Meripustak

Intrusion Detection Systems-Scitus by Beata Akselsen, Scitus Academics

Books from same Author: Beata Akselsen

Books from same Publisher: Scitus Academics

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  • General Information  
    Author(s)Beata Akselsen
    PublisherScitus Academics
    ISBN9781681172668
    Pages338
    BindingHardcover
    LanguageEnglish
    Publish YearJanuary 2017

    Description

    Scitus Academics Intrusion Detection Systems-Scitus by Beata Akselsen

    An intrusion detection system inspects all inbound and outbound network activity and identifies suspicious patterns that may indicate a network or system attack from someone attempting to break into or compromise a system. Intrusion detection (ID) is a type of security management system for computers and networks. An intrusion detection system gathers and analyzes information from various areas within a computer or a network to identify possible security breaches, which include both intrusions (attacks from outside the organization) and misuse (attacks from within the organization). Intrusion detection and prevention systems (IDPS) are primarily focused on identifying possible incidents, logging information about them, and reporting attempts. In addition, organizations use IDPSes for other purposes, such as identifying problems with security policies, documenting existing threats and deterring individuals from violating security policies. IDPSes have become a necessary addition to the security infrastructure of nearly every organization Intrusion detection system uses vulnerability assessment (sometimes refered to as scanning), which is a technology developed to assess the security of a computer system. The safeguarding of security is becoming increasingly difficult, because the possible technologies of attack are becoming ever more sophisticated; at the same time, less technical ability is required for the novice attacker, because proven past methods are easily accessed through the Web. This book, Intrusion Detection Systems, presents the practical application and results obtained for existing networks as well as results of experiments confirming efficacy of a synergistic analysis of anomaly detection and signature detection, and application of interesting solutions, such as an analysis of the anomalies of user behaviors and many others.



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