[go: up one dir, main page]

Yu et al., 2019 - Google Patents

An encrypted malicious traffic detection system based on neural network

Yu et al., 2019

Document ID
2100485567487336437
Author
Yu T
Zou F
Li L
Yi P
Publication year
Publication venue
2019 international conference on cyber-enabled distributed computing and knowledge discovery (CyberC)

External Links

Snippet

In recent years, with the widespread use of encrypted traffic communication technology, network traffic encryption has been gradually becoming a standard of communication. This phenomenon has a great impact on traditional traffic detection methods, especially on …
Continue reading at ieeexplore.ieee.org (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
    • 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
    • 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
    • G06F21/57Certifying 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
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1441Countermeasures against malicious traffic
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/16Implementing security features at a particular protocol layer

Similar Documents

Publication Publication Date Title
Shen et al. Machine learning-powered encrypted network traffic analysis: A comprehensive survey
Yu et al. An encrypted malicious traffic detection system based on neural network
Kanimozhi et al. Artificial intelligence based network intrusion detection with hyper-parameter optimization tuning on the realistic cyber dataset CSE-CIC-IDS2018 using cloud computing
Zhao et al. A dimension reduction model and classifier for anomaly-based intrusion detection in internet of things
Potluri et al. Accelerated deep neural networks for enhanced intrusion detection system
Palmieri et al. A distributed approach to network anomaly detection based on independent component analysis
Viet et al. Using deep learning model for network scanning detection
Brandao et al. Log files analysis for network intrusion detection
Nathiya et al. An effective way of cloud intrusion detection system using decision tree, support vector machine and Naïve bayes algorithm
Ciric et al. Modular deep learning-based network intrusion detection architecture for real-world cyber-attack simulation
CN110519228B (en) A method and system for identifying malicious cloud robots in black production scenarios
Tan et al. Recognizing the content types of network traffic based on a hybrid DNN-HMM model
Mondragon et al. Advanced IDS: a comparative study of datasets and machine learning algorithms for network flow-based intrusion detection systems: JC Mondragon et al.
Davies A review of topological data analysis for cybersecurity
Al-Fawa'reh et al. Detecting stealth-based attacks in large campus networks
Maheswaran et al. Effective intrusion detection system using hybrid ensemble method for cloud computing
Pandeeswari et al. Analysis of intrusion detection using machine learning techniques
Singh Real time intrusion detection in edge computing using machine learning techniques
Anand et al. Enchanced multiclass intrusion detection using supervised learning methods
Kumar et al. Enhancing Packet Inspection Accuracy to Identify Network Layer Attacks using Machine Learning
Liu et al. A cascade forest approach to application classification of mobile traces
CN115834097B (en) HTTPS malicious software flow detection system and method based on multiple views
Casanova et al. Malicious network traffic detection for DNS over HTTPS using machine learning algorithms
CN118282749B (en) Dynamic interaction method, monitoring processing and protection system for network security data
Gu et al. Meta-TFEN: A multi-modal deep learning approach for encrypted malicious traffic detection