Why is it that putting up successful intrusion detection systems that are based on anomalies is inherently more challenging than putting together intrusion detection systems that are based on signatures?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Why is it that putting up successful intrusion detection systems that are based on anomalies is inherently more challenging than putting together intrusion detection systems that are based on signatures?

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Intrusion detection systems (IDS) that are based on anomalies are inherently more challenging to implement successfully compared to IDS that are based on signatures for several reasons:

  • Definition of anomalies: Anomalies can be difficult to define and identify, as they represent behaviors that deviate from the normal or expected pattern. The threshold for what is considered an anomaly can vary depending on the system, and it may be difficult to determine what constitutes normal behavior in a complex system.
  • False positive rates: Anomaly-based IDS are more prone to false positives, as any deviation from the norm can trigger an alarm. This means that the system may produce many false alarms, and it can be difficult to differentiate between actual threats and false alerts.
  • Performance and scalability: Anomaly-based IDS are computationally more intensive and may require more resources to operate effectively. This can lead to performance and scalability issues, especially in large and complex systems.

 

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