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Pattern Matching Algorithms for Intrusion Detection and Prevention System: A Comparative Analysis

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Introduction	Intrusion Detection and Prevention Systems (IDPS) play a vital role in ensuring cybersecurity. They monitor network traffic to detect malicious activities or policy violations and either alert administrators or take automatic preventive action. One of the core technologies used in IDPS is pattern matching. It allows the system to compare data against known attack signatures. This paper offers a comparative analysis of various pattern matching algorithms, evaluating their suitability for IDPS in terms of accuracy, speed, memory efficiency, and scalability.

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Female

Introduction

Intrusion Detection and Prevention Systems (IDPS) play a vital role in ensuring cybersecurity. They monitor network traffic to detect malicious activities or policy violations and either alert administrators or take automatic preventive action. One of the core technologies used in IDPS is pattern matching. It allows the system to compare data against known attack signatures. This paper offers a comparative analysis of various pattern matching algorithms, evaluating their suitability for IDPS in terms of accuracy, speed, memory efficiency, and scalability.