Mohammad Ali Salahuddin

Orcid: 0000-0002-5431-3278

Affiliations:
  • University of Waterloo, David R. Cheriton School of Computer Science, Canada


According to our database1, Mohammad Ali Salahuddin authored at least 55 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Secure and Efficient Group Handover Protocol in 5G Non-Terrestrial Networks.
CoRR, 2024

2023
Coordinated Slicing and Admission Control Using Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., June, 2023

Deep learning for encrypted traffic classification in the face of data drift: An empirical study.
Comput. Networks, April, 2023

Spotting Anomalies at the Edge: Outlier Exposure-Based Cross-Silo Federated Learning for DDoS Detection.
IEEE Trans. Dependable Secur. Comput., 2023

AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification.
CoRR, 2023

FogJam: A Fog Service for Detecting Traffic Congestion in a Continuous Data Stream VANET.
Ad Hoc Networks, 2023

Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning.
Proceedings of the NOMS 2023, 2023

Generalizable GNN-based 5G RAN/MEC Slicing and Admission Control in Metropolitan Networks.
Proceedings of the NOMS 2023, 2023

FSTC: Dynamic Category Adaptation for Encrypted Network Traffic Classification.
Proceedings of the IFIP Networking Conference, 2023

Meta-ATMoS+: A Meta-Reinforcement Learning Framework for Threat Mitigation in Software-Defined Networks.
Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

Soteria: An Approach for Detecting Multi-Institution Attacks.
Proceedings of the 26th Conference on Innovation in Clouds, Internet and Networks, 2023

A Critical Study of Few-Shot Learning for Encrypted Traffic Classification.
Proceedings of the 19th International Conference on Network and Service Management, 2023

2022
Chronos: DDoS Attack Detection Using Time-Based Autoencoder.
IEEE Trans. Netw. Serv. Manag., 2022

Traffic classification in an increasingly encrypted web.
Commun. ACM, 2022

Multi-Agent Deep Reinforcement Learning for Slicing and Admission Control in 5G C-RAN.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Data Drift in DL: Lessons Learned from Encrypted Traffic Classification.
Proceedings of the IFIP Networking Conference, 2022

2021
Uncovering Lateral Movement Using Authentication Logs.
IEEE Trans. Netw. Serv. Manag., 2021

Efficient Replica Migration Scheme for Distributed Cloud Storage Systems.
IEEE Trans. Cloud Comput., 2021

A Look Behind the Curtain: Traffic Classification in an Increasingly Encrypted Web.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Content Delivery Network Security: A Survey.
IEEE Commun. Surv. Tutorials, 2021

RDP-based Lateral Movement detection using Machine Learning.
Comput. Commun., 2021

ATMoS+: Generalizable Threat Mitigation in SDN Using Permutation Equivariant and Invariant Deep Reinforcement Learning.
IEEE Commun. Mag., 2021

AI-driven Closed-loop Automation in 5G and beyond Mobile Networks.
Proceedings of the FlexNets '21: Proceedings of the 4th FlexNets Workshop on Flexible Networks Artificial Intelligence Supported Network Flexibility and Agility, 2021

2020
BotChase: Graph-Based Bot Detection Using Machine Learning.
IEEE Trans. Netw. Serv. Manag., 2020

ATMoS: Autonomous Threat Mitigation in SDN using Reinforcement Learning.
Proceedings of the NOMS 2020, 2020

Time-based Anomaly Detection using Autoencoder.
Proceedings of the 16th International Conference on Network and Service Management, 2020

2019
Re-Architecting NFV Ecosystem with Microservices: State of the Art and Research Challenges.
IEEE Netw., 2019

A Machine Learning Approach for RDP-based Lateral Movement Detection.
Proceedings of the 44th IEEE Conference on Local Computer Networks, 2019

A Graph-Based Machine Learning Approach for Bot Detection.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Host in Danger? Detecting Network Intrusions from Authentication Logs.
Proceedings of the 15th International Conference on Network and Service Management, 2019

2018
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities.
J. Internet Serv. Appl., 2018

Machine Learning for Cognitive Network Management.
IEEE Commun. Mag., 2018

A Cloud-Based Architecture for Multimedia Conferencing Service Provisioning.
IEEE Access, 2018

A Survey on Content Placement Algorithms for Cloud-Based Content Delivery Networks.
IEEE Access, 2018

ADS: Adaptive and dynamic scaling mechanism for multimedia conferencing services in the cloud.
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018

2017
A Survey on Replica Server Placement Algorithms for Content Delivery Networks.
IEEE Commun. Surv. Tutorials, 2017

Smart Cities: A Survey on Data Management, Security, and Enabling Technologies.
IEEE Commun. Surv. Tutorials, 2017

Softwarization of Internet of Things Infrastructure for Secure and Smart Healthcare.
Computer, 2017

Managing a cluster of IoT brokers in support of smart city applications.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Popularity and Correlation-Aware Content Placement for Hierarchical Surrogates in Cloud-Based CDNs.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

NFV and SDN-based cost-efficient and agile value-added video services provisioning in content delivery networks.
Proceedings of the 14th IEEE Annual Consumer Communications & Networking Conference, 2017

2016
Reinforcement learning for resource provisioning in the vehicular cloud.
IEEE Wirel. Commun., 2016

Scheduling Energy Harvesting Roadside Units in Vehicular Ad Hoc Networks.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

A Cloud Platform-as-a-Service for multimedia conferencing service provisioning.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

A Hybrid Regression Model for Video Popularity-Based Cache Replacement in Content Delivery Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Software-Defined Networking for RSU Clouds in Support of the Internet of Vehicles.
IEEE Internet Things J., 2015

Social Network Analysis Inspired Content Placement with QoS in Cloud Based Content Delivery Networks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

A resource allocation mechanism for video mixing as a cloud computing service in multimedia conferencing applications.
Proceedings of the 11th International Conference on Network and Service Management, 2015

On optimizing replica migration in distributed cloud storage systems.
Proceedings of the 4th IEEE International Conference on Cloud Networking, 2015

2014
Exploiting Context Severity to Achieve Opportunistic Service Differentiation in Vehicular Ad hoc Networks.
IEEE Trans. Veh. Technol., 2014

RSU cloud and its resource management in support of enhanced vehicular applications.
Proceedings of the 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, 2014

2013
Context severity based opportunistic service reprioritization for IEEE 802.11p VANETs.
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

2012
Opportunistic service promotion for end-to-end delay minimization in IEEE 802.11p vehicular networks.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2012

2011
An efficient artificial landmark-based system for indoor and outdoor identification and localization.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

2004
Analytical Analysis of Data and Decision Fusion in Sensor Networks.
Proceedings of the International Conference on Embedded Systems and Applications, 2004


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