Results 21 to 30 of about 3,911,620 (341)
Wireless magnetic sensor network for road traffic monitoring and vehicle classification [PDF]
, 2016 Efficiency of transportation of people and goods is playing a vital role in economic growth. A key component for enabling effective planning of transportation networks is the deployment and operation of autonomous monitoring and traffic analysis tools ...
Allen, Ben +3 more
core +3 more sources
FPGA-Based Network Traffic Classification Using Machine Learning
IEEE Access, 2020 Real-time classification of internet traffic is critical for the efficient management of networks. Classification approaches based on machine learning techniques have shown promising results with high levels of accuracy.
Mohammed Elnawawy +2 more
doaj +1 more source
Machine learning approach for detection of nonTor traffic [PDF]
, 2017 Intrusion detection has attracted a considerable interest from researchers and industry. After many years of research the community still faces the problem of building reliable and efficient intrusion detection systems (IDS) capable of handling large ...
Atkinson, Robert +5 more
core +7 more sources
When a RF Beats a CNN and GRU, Together - A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification [PDF]
Computers & security, 2022 Internet traffic classification is widely used to facilitate network management. It plays a crucial role in Quality of Services (QoS), Quality of Experience (QoE), network visibility, intrusion detection, and traffic trend analyses.
Adi Lichy +4 more
semanticscholar +1 more source
International Journal for Research in Applied Science and Engineering Technology, 2021 Abstract: The traffic signs engraved on the streets nowadays improve traffic security by advising the driver regarding speed limits or any further potential perils like profound thrilling streets, inescapable fix street works or any common intersections.
openaire +1 more source
Darknet traffic classification and adversarial attacks using machine learning
Computers & security, 2023 The anonymous nature of darknets is commonly exploited for illegal activities. Previous research has employed machine learning and deep learning techniques to automate the detection of darknet traffic in an attempt to block these criminal activities ...
Nhien Rust-Nguyen +2 more
semanticscholar +1 more source
Reviewing Traffic Classification [PDF]
, 2013 Traffic classification has received increasing attention in the last years. It aims at offering the ability to automatically recognize the application that has generated a given stream of packets from the direct and passive observation of the individual packets, or stream of packets, flowing in the network.
Valenti, S. +5 more
openaire +2 more sources
Payload-Based Traffic Classification Using Multi-Layer LSTM in Software Defined Networks
Applied Sciences, 2019 Recently, with the advent of various Internet of Things (IoT) applications, a massive amount of network traffic is being generated. A network operator must provide different quality of service, according to the service provided by each application ...
Hyun-Kyo Lim +4 more
doaj +1 more source
Multimedia Traffic Classification for Imbalanced Environment
IEEE Transactions on Network Science and Engineering, 2022 With ever-increasing volume and variety of multimedia traffic on the Internet, machine learning-empowered techniques nowadays tend to become indispensable for future intelligent network management. To realize automatic traffic management with Quality of Service (QoS) guarantees, there is a pressing need for accurate traffic classification. However, the
Zheng Wu +4 more
openaire +3 more sources
Multitask Learning for Network Traffic Classification
, 2020 Traffic classification has various applications in today's Internet, from resource allocation, billing and QoS purposes in ISPs to firewall and malware detection in clients.
Liu, Xin, Rezaei, Shahbaz
core +1 more source