Mobile App Fingerprinting through Automata Learning and Machine Learning

F Marzani, F Ghassemi… - 2023 IFIP …, 2023 - ieeexplore.ieee.org
Application fingerprinting is crucial in network management and security to provide the best
Quality of Service (QoS). To generate fingerprints for applications, we use an automata …

Combining machine and automata learning for network traffic classification

Z Sabahi-Kaviani, F Ghassemi, Z Alimadadi - International Conference on …, 2020 - Springer
Viewing the generated packets of an application as the words of a language, automata
learning can be used to derive the behavioral packet-based model of applications. The …

An Enhanced Encrypted Traffic Classifier via Combination of Deep Learning and Automata Learning

Z Sabahi-Kaviani, F Ghassemi - 2023 - researchsquare.com
Characterizing the network traffic and identifying running applications play an instrumental
role in several network administration tasks such as protecting against malicious behavior …

In-Depth Application of Neural Network in Software Information Classification and Identification

Z Huang, Y Wei - 2023 International Conference on Ambient …, 2023 - ieeexplore.ieee.org
Neural network is a highly self-learning computing technique capable of handling nonlinear
and multivariate data, which has great advantages in improving the efficiency of data …

Advanced Neural Networks for Software Data Classification and Recognition

GV Smitha, S Aishwarya, B Latha… - Nanotechnology …, 2024 - nano-ntp.com
A highly self-learning computing method that can handle multivariate and nonlinear data,
neural networks offer significant benefits for increasing data processing efficiency. Neural …