[HTML][HTML] ML-Based Traffic Classification in an SDN-Enabled Cloud Environment

O Belkadi, A Vulpe, Y Laaziz, S Halunga - Electronics, 2023 - mdpi.com
Traffic classification plays an essential role in network security and management; therefore,
studying traffic in emerging technologies can be useful in many ways. It can lead to …

A Survey on Application of LSTM as a Deep Learning Approach in Traffic Classification for SDN

P Rai, HK Deva Sarma - … Technology: Proceedings of ICICT 2021, SMIT, 2022 - Springer
SDN is a three-layered architecture with a centralized controller. Due to the increased usage
of the Internet, there is a rapid generation of data traffic. Identifying and classifying traffic for …

LUNAR: A Practical Anonymous Network Simulation Platform

X Zheng, H Yan, R Wang, Z Zhang… - Security and …, 2022 - Wiley Online Library
With the expansion of cyberspace and the increasing importance of users for privacy
protection, anonymous network research has been further developed, especially for the …

Fractional hunger jellyfish search optimization based deep quantum neural network for malicious traffic segregation and attack detection

S Sonawane, R Gulwani, P Sharma - Web Intelligence - content.iospress.com
Malicious traffic segregation and attack detection caused major financial loss and became
one of the most serious security hazards. Moreover, cyber security attack is the major issue …

[PDF][PDF] RECIPE GENERATION FROM FOOD IMAGES WITH DEEP LEARNING

SA Patil, R Singh, T Kaderji - abhivruddhi.mituniversity.ac.in
Food is a vital component of human survival because it not only supplies sustenance but
also contributes to the formation of our cultures and identities. Each culinary creation has its …