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The architecture of a network level intrusion detection system
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0004-3702(89)90050-7openalex-snapshot
Classifier systems and genetic algorithms
inferredcites →https://doi.org/10.1109/secpri.1988.8098openalex-snapshot
A prototype real-time intrusion-detection expert system
inferredcites →https://doi.org/10.1145/356850.356852openalex-snapshot
Formal Models for Computer Security
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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FLOLSTM: Fuzzy logic‐driven optimized LSTM for improved malicious traffic detection in hypervisor environments
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Design network intrusion detection system using support vector machine
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Statistical Process Control‐Based Intrusion Detection and Monitoring
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An efficient class association rule‐pruning method for unified intrusion detection system using genetic algorithm
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A lightweight intrusion detection framework for wireless sensor networks
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Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier
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A System for Power-Aware Agent-Based Intrusion Detection (SPAID) in Wireless Ad Hoc Networks
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Incorporating Data Mining Tools into a New Hybrid-IDS to Detect Known and Unknown Attacks
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Anomaly Intrusion Detection Based on Clustering a Data Stream
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Evolving Intrusion Detection Systems
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A Data Mining and CIDF Based Approach for Detecting Novel and Distributed Intrusions
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Design of Active HoneyPot System
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Probabilistic Alert Correlation
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A Distributed Intrusion Detection System Based on Bayesian Alarm Networks
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Intrusion Detection in Mobile Ad Hoc Networks
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DoS Attacks Intrusion Detection Algorithm Based on Support Vector Machine
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Intrusion Detection in Robotic Swarms
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Anomaly Detection Using Gaussian Mixture Probability Model to Implement Intrusion Detection System
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Intrusion Detection and Prevention
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A Two-Phase Cycle Algorithm Based on Multi-objective Genetic Algorithm and Modified BP Neural Network for Effective Cyber Intrusion Detection
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Intrusion Detection and Prevention
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Security Provision for the Internet of Intelligence Using Autonomous Mobile Agents
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Improving Intrusion Detection Systems for Wireless Sensor Networks
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Hybrid Genetic Fuzzy Rule Based Inference Engine to Detect Intrusion in Networks
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Modelling of Intrusion Detection System Using Artificial Intelligence—Evaluation of Performance Measures
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Network Anomaly Detection Using Unsupervised Feature Selection and Density Peak Clustering
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Attack Detection Using Evolutionary Computation
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Design and Implementation of the HoneyPot System with Focusing on the Session Redirection
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Performance Improvement Scheme of NIDS through Optimizing Intrusion Pattern Database
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Hybrid Intrusion Detection System for Wireless Sensor Networks
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Architecture for Data Collection in Database Intrusion Detection Systems
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Incremental Hybrid Intrusion Detection Using Ensemble of Weak Classifiers
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Intrusion Detections in Collaborative Organizations by Preserving Privacy
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Database Intrusion Detection Using Role Profiling with Role Hierarchy
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Security in Artificial Systems
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A Multi-Objective Evolutionary Algorithm for Network Intrusion Detection Systems
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Application of Genetic Algorithms for Detecting Anomaly in Network Intrusion Detection Systems
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Packet and Flow Based Network Intrusion Dataset
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Intrusion Detection in Wireless Sensor Networks: Issues, Challenges and Approaches
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Outlier Detection and Treatment for Lightweight Mobile Ad Hoc Networks
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Informationsanalysekonzept zur Erstellung von Cyber-Lagebildern in PPPs
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Genetic Annealing-Based IDS System for Attack Detection
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A Sequential Approach to Network Intrusion Detection
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Performance Evaluation of Advanced Machine Learning Algorithms for Network Intrusion Detection System
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A Machine Learning Approach to Intrusion Detection System Using UNSW-NB-15 and CICDDoS2019 Datasets
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Database intrusion detection using sequence alignment
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Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection
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Detecting intrusion transactions in database systems:a novel approach
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RETRACTED ARTICLE: Discovering Graphical Visual Features for Abnormal Semantic Event Detection
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Retraction Note to: Discovering Graphical Visual Features for Abnormal Semantic Event Detection
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HFFPNN classifier: a hybrid approach for intrusion detection based OPSO and hybridization of feed forward neural network (FFNN) and probabilistic neural network (PNN)
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Expectation maximization clustering and sequential pattern mining based approach for detecting intrusive transactions in databases
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TCP/IP feature reduction in intrusion detection
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Outlier based intrusion detection in databases for user behaviour analysis using weighted sequential pattern mining
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A Methodology for Runtime Detection and Extraction of Threat Patterns
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A comparison of Intrusion Detection systems
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Intrusion detection using autonomous agents
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Adaptive Intrusion Detection: A Data Mining Approach
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Intrusion Detection Techniques for Mobile Wireless Networks
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A Survey of Outlier Detection Methods in Network Anomaly Identification
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Hybrid model of self‐organizing map and kernel auto‐associator for internet intrusion detection
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Research Trends in Network-Based Intrusion Detection Systems: A Review
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Network Intrusion Detection: An IoT and Non IoT-Related Survey
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An Efficient Pattern Matching Algorithm for Intrusion Detection Systems
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Multi-agent based intrusion detection architecture
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Efficient Intrusion Detection System Using Stream Data Mining Classification Technique
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Class imbalance problem in the Network Intrusion Detection Systems
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Divergence based Database Intrusion Detection by user Profile Generation
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GUI-based user behavior intrusion detection
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A reliable solution against Packet dropping attack due to malicious nodes using fuzzy Logic in MANETs
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Fuzzy intrusion detection based on fuzzy reasoning Petri nets
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Intrusion detection based on cross-correlation of system call sequences
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Sequential pattern discovery for Intrusion Detection System
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Network Intrusion Rules Extraction Based on Rough Set and Niche Genetic Algorithm
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Amber: A zero-interaction honeypot and network enforcer with modular intelligence
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Analysis of Log Files Intersections for Security Enhancement
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MASID: Multi-Agent System for Intrusion Detection in MANET
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Intrusion Detection Based on Minimax Probability Machine with Immune Clonal Feature Optimized
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UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
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Secure routing in ad hoc networks and a related intrusion detection problem
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Enhancing the Security by Analyzing the Behaviour of Multiple Classification Algorithms with Dimensionality Reduction to Obtain Better Accuracy
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Optimizing Security Performance: Leveraging Multiclass Algorithms and Dimensionality Reduction for Enhanced Accuracy
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Detecting Intrusive Behaviour of People in a Building through Data Analysis and Anomaly Detection in Home Automation Systems
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Collaborative intrusion detection based on coordination agent
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Deep Learning Approaches for Strengthening Network Intrusion Detection Systems
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SPMOS-Based Intrusion Detection Architecture
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Intrusion detection based on clustering a data stream
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A Synthesized Dataset for Cybersecurity Study of IEC 61850 based Substation
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Improved Intrusion Detection System Using Fuzzy Logic for Detecting Anamoly and Misuse Type of Attacks
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Network Anomaly Detection: Methods, Systems and Tools
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Novel Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation on Large-Scale Networks
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Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process
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Machine Learning Approaches in Detecting Network Attacks
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A diversity creation method for ensemble based classification: Application in intrusion detection
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Integrating Intrusion Detection System and Data Mining
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Exploiting Frequent Episodes in Weighted Suffix Tree to Improve Intrusion Detection System
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An induction learning approach for building intrusion detection models using genetic algorithms
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ABIDS system using Hidden Markov Model
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IGIDS: Intelligent intrusion detection system using genetic algorithms
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An auction based task allocation scheme for power-aware intrusion detection in wireless ad-hoc networks
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Real-Time Intrusion Detection for Ad Hoc Networks
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TRUST‐based features for detecting the intruders in the Internet of Things network using deep learning
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Detecting intrusion transactions in databases using data item dependencies and anomaly analysis
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A Prototype for Network Intrusion Detection System using Danger Theory
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An adaptive architecture of applying vulnerability analysis to IDS alerts
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Intrusion Detection System using Fuzzy Logic and Data Mining Technique
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Machine Learning Techniques for Intrusion Detection
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Intrusion detection in wireless ad-hoc networks
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A data mining approach for database intrusion detection
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An Information Visualization Framework for Intrusion Detection
inferred← citeshttps://doi.org/10.1155/2021/8845540openalex-snapshot
Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection
inferred← citeshttps://doi.org/10.1155/2021/9974270openalex-snapshot
Design and Development of an Efficient Network Intrusion Detection System Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.11591/ijeecs.v11.i3.pp1094-1101openalex-snapshot
Cascaded Neural Network Based Data Mining Strategy for Cloud Intrusion Detection
inferred← citeshttps://doi.org/10.11591/ijins.v1i3.704openalex-snapshot
Pattern Based Network Security Using Semi-supervised Learning
inferred← citeshttps://doi.org/10.11606/d.55.2002.tde-02122002-015238openalex-snapshot
Avaliação de técnicas de captura para sistemas detectores de intrusão.
inferred← citeshttps://doi.org/10.11606/t.55.2012.tde-10102012-103142openalex-snapshot
Contribuições na área de Sistemas Distribuídos e Redes de Computadores e suas aplicações em Sistemas Embarcados Críticos
inferred← citeshttps://doi.org/10.1186/s13638-021-02016-zopenalex-snapshot
A novel two-phase cycle algorithm for effective cyber intrusion detection in edge computing
inferred← citeshttps://doi.org/10.1201/1079/43273.29.5.20011101/31414.1openalex-snapshot
Understanding Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1201/b18772-17openalex-snapshot
◾ A Review of Network Intrusion Detection in the Big Data Era: Challenges and Future Trends
inferred← citeshttps://doi.org/10.12785/ijcds/030102openalex-snapshot
An Intrusion Detection System with Home Installation Networks
inferred← citeshttps://doi.org/10.12962/j27213862.v7i1.18751openalex-snapshot
Intrusion Detection Systems (IDSs) using Multivariate Control Chart Hotelling’s T2 with Dimensional Reduction of Factorial Analysis of Mixed Data (FAMD) and Autoencoder
inferred← citeshttps://doi.org/10.13005/ojcst/10.02.33openalex-snapshot
Intrusion Detection System Based on Data Mining Techniques
inferred← citeshttps://doi.org/10.13140/2.1.1924.2883openalex-snapshot
JAD: A generic Framework for Network Anomaly Detection using Java
inferred← citeshttps://doi.org/10.1371/journal.pone.0295801openalex-snapshot
A robust intrusion detection system based on a shallow learning model and feature extraction techniques
inferred← citeshttps://doi.org/10.14257/ijsia.2015.9.4.10openalex-snapshot
A Novel Lightweight Hybrid Intrusion Detection Method Using a Combination of Data Mining Techniques
inferred← citeshttps://doi.org/10.14419/ijet.v7i3.12.16052openalex-snapshot
Intrusion Detection on Software Defined Networking
inferred← citeshttps://doi.org/10.14421/jiska.2017.13-03openalex-snapshot
Deteksi Serangan DDoS Menggunakan Neural Network dengan Fungsi Fixed Moving Average Window
inferred← citeshttps://doi.org/10.14445/22312803/ijctt-v37p121openalex-snapshot
A Novel Scheme for Securing Medical Data by using Hybrid Privacy Preserving Mechanism in Healthcare Application
inferred← citeshttps://doi.org/10.14569/ijacsa.2015.060922openalex-snapshot
Intrusion Detection Techniques in Wireless Sensor Network using Data Mining Algorithms: Comparative Evaluation Based on Attacks Detection
inferred← citeshttps://doi.org/10.14569/ijacsa.2016.070109openalex-snapshot
Data Mining and Intrusion Detection Systems
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A Novel Architecture for Intrusion Detection in Mobile Ad hoc Network
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Statistical machine learning for network intrusion detection: a data quality perspective
inferred← citeshttps://doi.org/10.17485/ijst/2014/v7i9.24openalex-snapshot
Multi-Tier Framework using Sugeno Fuzzy Inference System with Swarm Intelligence Techniques for Intrusion Detection
inferred← citeshttps://doi.org/10.17485/ijst/2016/v9i12/86291openalex-snapshot
An Experimental Evaluation of Bayesian Classifiers Applied to Intrusion Detection
inferred← citeshttps://doi.org/10.17721/ists.2021.1.17-24openalex-snapshot
METHODS OF DETECTING INTRUSIONS IN MODERN IDS SYSTEMS
inferred← citeshttps://doi.org/10.17760/d20128355openalex-snapshot
Learning from sequential data for anomaly detection
inferred← citeshttps://doi.org/10.18297/etd/23openalex-snapshot
Intrusion detection and response model for mobile ad hoc networks.
inferred← citeshttps://doi.org/10.20525/ijrbs.v14i1.3582openalex-snapshot
Modelling intrusion detection systems using swarm intelligence
inferred← citeshttps://doi.org/10.21236/ada401496openalex-snapshot
Data Mining Approaches for Intrusion Detection
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Study and analysis of intrusion detection system using random forest and linear regression
inferred← citeshttps://doi.org/10.2172/425286openalex-snapshot
A prototype implementation of a network-level intrusion detection system. Technical report number CS91-11
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