[go: up one dir, main page]

Zacaron et al., 2024 - Google Patents

Generative adversarial network models for anomaly detection in software-defined networks

Zacaron et al., 2024

View PDF
Document ID
10893261536248668269
Author
Zacaron A
Lent D
da Silva Ruffo V
Carvalho L
Proença Jr M
Publication year
Publication venue
Journal of Network and Systems Management

External Links

Snippet

Software-defined Networking (SDN) is a modern network management paradigm that decouples the data and control planes. The centralized control plane offers comprehensive control and orchestration over the network infrastructure. Although SDN provides better …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425Traffic logging, e.g. anomaly detection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1416Event detection, e.g. attack signature detection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1441Countermeasures against malicious traffic
    • H04L63/1458Denial of Service
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1433Vulnerability analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55Detecting local intrusion or implementing counter-measures
    • G06F21/552Detecting local intrusion or implementing counter-measures involving long-term monitoring or reporting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/57Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
    • G06F21/577Assessing vulnerabilities and evaluating computer system security
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/02Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0209Architectural arrangements, e.g. perimeter networks or demilitarized zones
    • H04L63/0218Distributed architectures, e.g. distributed firewalls
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/02Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0227Filtering policies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/20Network architectures or network communication protocols for network security for managing network security; network security policies in general
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/14Arrangements for maintenance or administration or management of packet switching networks involving network analysis or design, e.g. simulation, network model or planning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/10Network architectures or network communication protocols for network security for controlling access to network resources
    • H04L63/105Multiple levels of security
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/02Details
    • H04L12/26Monitoring arrangements; Testing arrangements
    • H04L12/2602Monitoring arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing packet switching networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements

Similar Documents

Publication Publication Date Title
Heidari et al. Internet of Things intrusion detection systems: a comprehensive review and future directions
US12407712B2 (en) Artificial intelligence cyber security analyst
US10986121B2 (en) Multivariate network structure anomaly detector
US20210273953A1 (en) ENDPOINT AGENT CLIENT SENSORS (cSENSORS) AND ASSOCIATED INFRASTRUCTURES FOR EXTENDING NETWORK VISIBILITY IN AN ARTIFICIAL INTELLIGENCE (AI) THREAT DEFENSE ENVIRONMENT
US20230336581A1 (en) Intelligent prioritization of assessment and remediation of common vulnerabilities and exposures for network nodes
Revathi et al. A machine learning based detection and mitigation of the DDOS attack by using SDN controller framework
US9807109B2 (en) Profiling cyber threats detected in a target environment and automatically generating one or more rule bases for an expert system usable to profile cyber threats detected in a target environment
US20220360597A1 (en) Cyber security system utilizing interactions between detected and hypothesize cyber-incidents
AU2022307535A1 (en) Intelligent prioritization of assessment and remediation of common vulnerabilities and exposures for network nodes
Cherian et al. Secure SDN–IoT framework for DDoS attack detection using deep learning and counter based approach
Ageyev et al. Traffic monitoring and abnormality detection methods for decentralized distributed networks
WO2021236661A1 (en) Endpoint client sensors for extending network visibility
Zacaron et al. Generative adversarial network models for anomaly detection in software-defined networks
Vij et al. Intrusion detection systems: Conceptual study and review
Melo et al. ISM-AC: An immune security model based on alert correlation and software-defined networking
Khanal et al. Real-time anomaly detection framework to mitigate emerging threats in software defined networks
Lakshmanan et al. An efficient DDoS attack detection using chaos Henry gas solubility optimization weight initialization based rectified linear unit
Asif et al. An efficient intrusion detection system using advanced machine learning techniques in software-defined networks (sdn) for healthcare system
Plazas Olaya et al. Securing Microservices‐Based IoT Networks: Real‐Time Anomaly Detection Using Machine Learning
Nazir et al. Combinatorial optimization based feature selection method: A study on network intrusion detection
Mudgal et al. Big data with machine learning enabled intrusion detection with honeypot intelligence system on apache Flink (BDML-IDHIS)
Tsang et al. Meta-ATMoS+: A Meta-Reinforcement Learning Framework for Threat Mitigation in Software-Defined Networks
Hasan Distributed denial of service attack detection in cloud computing environment using machine learning
Mehta Anticipating DDoS incursions in software-defined networking using explainable AI and federated learning
Verma et al. A review on network security risk assessment and techniques