[go: up one dir, main page]

Shamoo, 2025 - Google Patents

Network Forensics and Traffic Analysis With Machine Learning

Shamoo, 2025

Document ID
3682723896710997900
Author
Shamoo Y
Publication year
Publication venue
Integrating Artificial Intelligence in Cybersecurity and Forensic Practices

External Links

Snippet

Network forensics plays a crucial role in identifying, monitoring, and analyzing network traffic to uncover malicious activities and provide evidence in cyber incidents. The integration of machine learning techniques into network forensics significantly enhances the ability to …
Continue reading at www.igi-global.com (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
    • 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
    • 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
    • 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
    • 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
    • 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
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • 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
    • 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
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • 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

Similar Documents

Publication Publication Date Title
Kinyua et al. AI/ML in Security Orchestration, Automation and Response: Future Research Directions.
Nour et al. A survey on threat hunting in enterprise networks
Imran et al. A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems
Kannan AI AND MACHINE LEARNING FOR NETWORK SECURITY: APPLICATIONS AND CASE STUDIES
Ofusori et al. Artificial intelligence in cybersecurity: a comprehensive review and future direction
Mvula et al. A systematic literature review of cyber-security data repositories and performance assessment metrics for semi-supervised learning
Xiao Malware cyber threat intelligence system for internet of things (IoT) using machine learning
Ankalaki et al. Cyber attack prediction: From traditional machine learning to generative artificial intelligence
Jain Enhancing forensic analysis of digital evidence using machine learning: Techniques, applications, and challenges
Fernando A multidimensional framework for utilizing big data analytics and ai in strengthening digital forensics and cybersecurity investigations
Karyemsetty et al. Cybersecurity Fortification in Edge Computing through the Synergy of Deep Learning
Sallay et al. Intrusion detection alert management for high‐speed networks: current researches and applications
Albtosh Digital Forensic Data Mining and Pattern Recognition
Shamoo Network Forensics and Traffic Analysis With Machine Learning
Buyuktanir et al. Federated learning in intrusion detection: advancements, applications, and future directions
Akande AI-Enhanced Intrusion Detection Systems: Leveraging Data Structures for Scalable and Reliable Cybersecurity Solutions
Sunday Developing Anomaly Detection on IoT Devices Using Machine Learning (ML)
Tsekeridou Network traffic anomaly detection via deep learning
Sameer et al. A Deep And Machine Learning Comparative Approach for Networks Intrusion Detection
Shahrivar et al. Detecting Web Application DAST Attacks in Large-Scale Event Data
Tadi Integrating Advanced Data Engineering with Machine Learning and AI for Early Detection and Mitigation of Cyber Threats in Real-Time Criminal Investigations
Basharat Machine Learning in IoT and Mobile Device Forensics
O’Connell Data-Driven Cybersecurity: AI-Based Predictive Models for Threat Intelligence and Risk Mitigation
Aziz et al. Anomaly Based Intrusion Detection System Which Analyze the Dataset and Detect Intrusion
Amjid et al. A Framework for Detection and Classification of Attacks on Surveillance Cameras under IoT Networks