[go: up one dir, main page]

Camacho Páez et al., 2025 - Google Patents

Data quality tools to enhance a network anomaly detection benchmark

Camacho Páez et al., 2025

View PDF
Document ID
9738509731174330019
Author
Camacho Páez J
Rodríguez Gómez R
et al.
Publication year

External Links

Snippet

Network traffic datasets are essential for the construction of traffic models, often using machine learning (ML) techniques. Among other applications, these models can be employed to solve complex optimization problems or to identify anomalous behaviors, ie …
Continue reading at digibug.ugr.es (PDF) (other versions)

Classifications

    • 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
    • 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
    • H04L63/1433—Vulnerability analysis
    • 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
    • H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0227—Filtering policies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing packet switching networks
    • H04L43/02—Arrangements for monitoring or testing packet switching networks involving a reduction of monitoring data
    • H04L43/026—Arrangements for monitoring or testing packet switching networks involving a reduction of monitoring data using flow generation
    • 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
    • H04L63/1441—Countermeasures against malicious traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing packet switching networks
    • H04L43/02—Arrangements for monitoring or testing packet switching networks involving a reduction of monitoring data
    • H04L43/028—Arrangements for monitoring or testing packet switching networks involving a reduction of monitoring data using filtering
    • 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
    • H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0209—Architectural arrangements, e.g. perimeter networks or demilitarized zones
    • H04L63/0218—Distributed architectures, e.g. distributed firewalls
    • 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
    • G06F21/552—Detecting local intrusion or implementing counter-measures involving long-term monitoring or reporting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/26—Monitoring arrangements; Testing arrangements
    • H04L12/2602—Monitoring arrangements
    • 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
    • G06F21/57—Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
    • G06F21/577—Assessing vulnerabilities and evaluating computer system security
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing packet switching networks
    • H04L43/18—Arrangements for monitoring or testing packet switching networks using protocol analyzers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing packet switching networks
    • H04L43/06—Report generation
    • H04L43/062—Report generation for traffic related reporting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing packet switching networks
    • H04L43/04—Processing of captured monitoring data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/22—Arrangements for maintenance or administration or management of packet switching networks using GUI [Graphical User Interface]
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
    • G06F2201/875—Monitoring of systems including the internet

Similar Documents

Publication Publication Date Title
US12407712B2 (en) Artificial intelligence cyber security analyst
ES2909555T3 (en) Procedure and system to train and validate machine learning algorithms in data network environments
Wagner et al. Machine learning approach for ip-flow record anomaly detection
Stergiopoulos et al. Automatic detection of various malicious traffic using side channel features on TCP packets
Bolzoni et al. Panacea: Automating attack classification for anomaly-based network intrusion detection systems
Thakar et al. Honeyanalyzer–analysis and extraction of intrusion detection patterns & signatures using honeypot
Ring et al. A toolset for intrusion and insider threat detection
CN117454376A (en) Industrial Internet data security detection response and tracing method and device
Kumar et al. Light weighted CNN model to detect DDoS attack over distributed scenario
Sudyana et al. Improving generalization of ML-Based IDS with Lifecycle-Based dataset, Auto-Learning features, and deep learning
Kemp et al. Detecting slow application-layer DoS attacks with PCA
Camacho et al. Traffic monitoring and diagnosis with multivariate statistical network monitoring: A case study
Aldwairi et al. Flukes: Autonomous log forensics, intelligence and visualization tool
Tellenbach Detection, classification and visualization of anomalies using generalized entropy metrics
Camacho Páez et al. Data quality tools to enhance a network anomaly detection benchmark
Camacho et al. Data Quality Tools to Enhance a Network Anomaly Detection Benchmark. Data 2025, 10, 33
Gonzalez-Granadillo et al. An improved live anomaly detection system (i-lads) based on deep learning algorithm
Sulaiman et al. Big data analytic of intrusion detection system
Camacho Páez et al. Quality In/Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR’16
Huizinga Using machine learning in network traffic analysis for penetration testing auditability
Kalutarage Effective monitoring of slow suspicious activites on computer networks.
Inoue et al. NetADHICT: A Tool for Understanding Network Traffic.
Grégio et al. Evaluation of data mining techniques for suspicious network activity classification using honeypots data
Camacho et al. Quality In/Quality Out: Assessing Data quality in an Anomaly Detection Benchmark
Joshi Anomaly extraction using association rule mining