activity
20202025
most citedMalware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2025

Curated Collaborative AI Edge with Network Data Analytics for B5G/6G Radio Access Networks

Sardar Jaffar Ali, Syed M. Raza, Duc-Tai Le +4

Despite advancements, Radio Access Networks (RAN) still account for over 50\% of the total power consumption in 5G networks. Existing RAN split options do not fully harness data po…

cs.AI2024

Deep UAV Path Planning with Assured Connectivity in Dense Urban Setting

Jiyong Oh, Syed M. Raza, Lusungu J. Mwasinga +2

Unmanned Ariel Vehicle (UAV) services with 5G connectivity is an emerging field with numerous applications. Operator-controlled UAV flights and manual static flight configurations…

cs.LG2023

Regional Correlation Aided Mobile Traffic Prediction with Spatiotemporal Deep Learning

JeongJun Park, Lusungu J. Mwasinga, Huigyu Yang +5

Mobile traffic data in urban regions shows differentiated patterns during different hours of the day. The exploitation of these patterns enables highly accurate mobile traffic pred…

cs.CV2021

Real-Time Trash Detection for Modern Societies using CCTV to Identifying Trash by utilizing Deep Convolutional Neural Network

Syed Muhammad Raza, Syed Muhammad Ghazi Hassan, Syed Ali Hassan +1

To protect the environment from trash pollution, especially in societies, and to take strict action against the red-handed people who throws the trash. As modern societies are deve…

cs.CR2020★ 1 cited

Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline

Syed Muhammad Kumail Raza, Juan Caballero

Identifying threats in a network traffic flow which is encrypted is uniquely challenging. On one hand it is extremely difficult to simply decrypt the traffic due to modern encrypti…