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Effectiveness Evaluation of Different IDSs Using Integrated Fuzzy MCDM Model

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Zeek-Osquery: Host-Network Correlation for Advanced Monitoring and Intrusion Detection
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Fuzzy Multiple Attribute Decision Making Methods
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Multiple Attribute Decision Making
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Performance Comparison and Detection Analysis in Snort and Suricata Environment
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P-STORE: Extension of STORE Methodology to Elicit Privacy Requirements
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How to make a decision: The analytic hierarchy process
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A Survey of Intrusion Detection Systems Using Evolutionary Computation
inferredcites →https://doi.org/10.1016/j.cose.2008.08.003openalex-snapshot
Anomaly-based network intrusion detection: Techniques, systems and challenges
inferredcites →https://doi.org/10.1016/j.cose.2012.06.002openalex-snapshot
Real time DDoS detection using fuzzy estimators
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inferredcites →https://doi.org/10.1016/j.jksuci.2018.12.005openalex-snapshot
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Bro: a system for detecting network intruders in real-time
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FHSD: An Improved IP Spoof Detection Method for Web DDoS Attacks
inferredcites →https://doi.org/10.1109/access.2018.2848106openalex-snapshot
Comparative Performance Evaluation of Intrusion Detection Methods for In-Vehicle Networks
inferredcites →https://doi.org/10.1109/access.2020.2970245openalex-snapshot
An Integrated Approach of Fuzzy Logic, AHP and TOPSIS for Estimating Usable-Security of Web Applications
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inferredcites →https://doi.org/10.1109/csci.2016.0203openalex-snapshot
Performance Evaluation of Intrusion Detection System Using Anomaly and Signature Based Algorithms to Reduction False Alarm Rate and Detect Unknown Attacks
inferredcites →https://doi.org/10.1109/netsoft51509.2021.9492685openalex-snapshot
Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT
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Implementation and Performance Evaluation of Intrusion Detection Systems under high-speed networks
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A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development
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FEATURE SELECTION BASED ON MULTICRITERIA DECISION MAKING FOR INTRUSION DETECTION SYSTEM
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Usability Evaluation Through Fuzzy AHP-TOPSIS Approach: Security Requirement Perspective
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Atrocious Impinging of COVID-19 Pandemic on Software Development Industries
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Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches
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inferred← citeshttps://doi.org/10.1016/j.jpdc.2026.105364openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sbac-pad63648.2024.00020openalex-snapshot
IDS-DEEP: a strategy for selecting the best IDS for Drones with heterogeneous EmbEdded Platforms
inferred← citeshttps://doi.org/10.1142/s021962202230004xopenalex-snapshot
Multi-Attribute Decision-Making for Intrusion Detection Systems: A Systematic Review
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inferred← citeshttps://doi.org/10.1177/18724981251383118openalex-snapshot
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