Machine Learning Approach for the Network Traffic Classification
نویسندگان
چکیده
منابع مشابه
Machine Learning Classification of Malicious Network Traffic
1.1. Intrusion Detection Systems. In our society, information systems are everywhere. They are used by corporations to store proprietary and other sensitive data, by families to store financial and personal information, by universities to keep research data and ideas, and by governments to store defense and security information. It is very important that the information systems that house this ...
متن کاملState of the Art Review of Network Traffic Classification based on Machine Learning Approach
Network traffic classification is extensively required mainly for many network management tasks such as flow prioritization, traffic shaping/policing, and diagnostic monitoring. Similar to network management tasks, many network engineering problems such as workload characterization and modeling, capacity planning, and route provisioning also benefit from accurate identification of network traff...
متن کاملTechniques for Traffic Sign Classification Using Machine Learning-a Survey
The Road Sign Recognition is a field of applied computer vision research concerned with the automatic detection and classification of traffic signs in traffic scene images. The aim of this research paper is to study the various classification techniques that can be used to construct a system that recognizes road signs in images. The primary objective is to develop an algorithm which will identi...
متن کاملMachine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison
The task of network management and monitoring relies on an accurate characterization of network traffic generated by different applications and network protocols. We employ three supervisedmachine learning (ML) algorithms, BayesianNetworks, Decision Trees and Multilayer Perceptrons for the flow-based classification of six different types of Internet traffic including peer-to-peer (P2P) and cont...
متن کاملDetecting Encrypted Traffic: A Machine Learning Approach
Detecting encrypted traffic is increasingly important for deep packet inspection (DPI) to improve the performance of intrusion detection systems. We propose a machine learning approach with several randomness tests to achieve high accuracy detection of encrypted traffic while requiring low overhead incurred by the detection procedure. To demonstrate how effective the proposed approach is, the p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2019
ISSN: 2321-9653
DOI: 10.22214/ijraset.2019.6301