Nothing Special   »   [go: up one dir, main page]

Durga et al., 2023 - Google Patents

A Novel Network Intrusion Detection System Based on Semi-Supervised Approach for IoT

Durga et al., 2023

Document ID
14315021662615678639
Author
Durga B
Mangla N
Publication year
Publication venue
International Journal of Advanced Computer Science and Applications

External Links

Snippet

An intrusion detection system (IDS) is one of the most effective ways to secure a network and prevent unauthorized access and security attacks. But due to the lack of adequately labeled network traffic data, researchers have proposed several feature representations models over …
Continue reading at search.proquest.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
    • G06K9/6284—Single class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425—Traffic logging, e.g. anomaly detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1416—Event detection, e.g. attack signature detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2209/00—Additional information or applications relating to cryptographic mechanisms or cryptographic arrangements for secret or secure communication H04L9/00
    • H04L2209/80—Wireless
    • H04L2209/805—Lightweight hardware, e.g. radio-frequency identification [RFID] or sensor

Similar Documents

Publication Publication Date Title
Yang et al. A systematic literature review of methods and datasets for anomaly-based network intrusion detection
Ahmad et al. Zero-day attack detection: a systematic literature review
Bakhsh et al. Enhancing IoT network security through deep learning-powered Intrusion Detection System
Elmasry et al. Empirical study on multiclass classification‐based network intrusion detection
Levshun et al. A survey on artificial intelligence techniques for security event correlation: models, challenges, and opportunities
Durga et al. A Novel Network Intrusion Detection System Based on Semi-Supervised Approach for IoT
Bakhshi et al. Anomaly detection in encrypted internet traffic using hybrid deep learning
Ahmad et al. A deep learning ensemble approach to detecting unknown network attacks
Singh et al. Soft-computing-based false alarm reduction for hierarchical data of intrusion detection system
Dib et al. Machine learning-based ransomware classification of Bitcoin transactions
Salvakkam et al. Enhanced quantum-secure ensemble intrusion detection techniques for cloud based on deep learning
Kim et al. Automated, reliable zero-day malware detection based on autoencoding architecture
Kalusivalingam et al. Enhancing Financial Fraud Detection with Hybrid Deep Learning and Random Forest Algorithms
Dharaneish et al. Comparative analysis of deep learning and machine learning models for network intrusion detection
Mukhaini et al. A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks
Kulkarni et al. An intrusion detection system using extended Kalman filter and neural networks for IoT networks
Rashid et al. Enhanced website phishing detection based on the cyber kill chain and cloud computing
Pandey et al. Gan-based data generation approach for ids: Evaluation on decision tree
Vibhute et al. An LSTM‐based novel near‐real‐time multiclass network intrusion detection system for complex cloud environments
Amrutha et al. An efficient automated intrusion detection system using hybrid decision tree
Lucas et al. A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks
Bingu et al. Performance comparison analysis of classification methodologies for effective detection of intrusions
Moarref et al. MC‐MLDCNN: Multichannel Multilayer Dilated Convolutional Neural Networks for Web Attack Detection
Jayalaxmi et al. MADESANT: malware detection and severity analysis in industrial environments
Ray et al. A New Combined Model with Reduced Label Dependency for Malware Classification