A Scalable Security Model for Enabling Dynamic Virtual Private Execution Infrastructures on the Internet. - Pascale Vicat-Blanc Primet; Jean-Patrick Gelas; Olivier Mornard; Guilherme Piêgas Koslovski; Vincent Roca; Lionel Giraud; Johan Montagnat; Tram Truong Huu (CCGRID, 2009)

Executing Distributed Applications on Virtualized Infrastructures Specified with the VXDL Language and Managed by the HIPerNET Framework. - Guilherme Piêgas Koslovski; Tram Truong Huu; Johan Montagnat; Pascale Vicat-Blanc Primet (CloudComp, 2009)

Virtual Resources Allocation for Workflow-Based Applications Distribution on a Cloud Infrastructure. - Tram Truong Huu; Johan Montagnat (CCGRID, 2010)

Reliability Support in Virtual Infrastructures. - Guilherme Piêgas Koslovski; Wai-Leong Yeow; Cédric Westphal; Tram Truong Huu; Johan Montagnat; Pascale Vicat-Blanc Primet (CloudCom, 2010)

Workflow-based applications performance and execution cost optimization on cloud infrastructures. (Optimisation des performances et du coût de flots applicatifs s'exécutant sur des infrastructures de cloud). - Tram Truong Huu (2010)

Joint Elastic Cloud and Virtual Network Framework for Application Performance-cost Optimization. - Tram Truong Huu; Guilherme Piêgas Koslovski; Fabienne Anhalt; Johan Montagnat; Pascale Vicat-Blanc Primet (J. Grid Comput., 2011)

SHIWA workflow interoperability solutions for neuroimaging data analysis. - Vladimir Korkhov; Dagmar Krefting; Johan Montagnat; Tram Truong Huu; Tamas Kukla; Gábor Terstyánszky; David Manset; Matthan W. A. Caan; Sílvia D. Olabarriaga (HealthGrid, 2012)

Scalable and Resilient Workflow Executions on Production Distributed Computing Infrastructures. - Javier Rojas Balderrama; Tram Truong Huu; Johan Montagnat (ISPDC, 2012)

An Auction-Based Resource Allocation Model for Green Cloud Computing. - Tram Truong Huu; Chen-Khong Tham (IC2E, 2013)

A Game-Theoretic Model for Dynamic Pricing and Competition among Cloud Providers. - Tram Truong Huu; Chen-Khong Tham (UCC, 2013)

Bundle and Pool Architecture for Multi-Language, Robust, Scalable Workflow Executions. - David Rogers; Ian Harvey; Tram Truong Huu; Kieran Evans; Tristan Glatard; Ibrahim Kallel; Ian J. Taylor; Johan Montagnat; Andrew Jones 003; Andrew Harrison 001 (J. Grid Comput., 2013)

A Stochastic Workload Distribution Approach for an Ad Hoc Mobile Cloud. - Tram Truong Huu; Chen-Khong Tham; Dusit Niyato (CloudCom, 2014)

To Offload or to Wait: An Opportunistic Offloading Algorithm for Parallel Tasks in a Mobile Cloud. - Tram Truong Huu; Chen-Khong Tham; Dusit Niyato (CloudCom, 2014)

A Novel Model for Competition and Cooperation among Cloud Providers. - Tram Truong Huu; Chen-Khong Tham (IEEE Trans. Cloud Comput., 2014)

Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications. - Zengxiang Li; Long Wang 005; Yu Zhang 028; Tram Truong Huu; En Sheng Lim; Purnima Murali Mohan; Shibin Cheng; Shu Qin Ren; Mohan Gurusamy; Zheng Qin 004; Rick Siow Mong Goh (DS-RT, 2015)

TCAM-Aware Local Rerouting for Fast and Efficient Failure Recovery in Software Defined Networks. - Purnima Murali Mohan; Tram Truong Huu; Mohan Gurusamy (GLOBECOM, 2015)

Handling Uncertainty and Diversity in Cloud Bandwidth Demands for Revenue Maximization. - Tram Truong Huu; Mohan Gurusamy (ICCCRI, 2015)

Markov Chain Based Algorithm for Virtual Network Embedding in Optical Data Centers. - Tram Truong Huu; Mohan Gurusamy (HPCC/SmartCity/DSS, 2016)

Mapping workflow resource requests for bandwidth efficiency in data centers. - Vishal Girisagar; Tram Truong Huu; Mohan Gurusamy (ICDCN, 2016)

Adaptive Bandwidth Allocation for Virtual Network Embedding in Optical Data Center Networks. - Swarnalatha Madanantha; Tram Truong Huu; Mohan Gurusamy (LCN, 2016)

Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds. - Zeng Zeng; Tram Truong Huu; Bharadwaj Veeravalli; Chen-Khong Tham (Clust. Comput., 2016)

Dynamic embedding of workflow requests for bandwidth efficiency in data centers. - Tram Truong Huu; Mohan Gurusamy; Vishal Girisagar (Comput. Networks, 2016)

Time and Bandwidth-Aware Virtual Network Embedding and Migration in Hybrid Optical-Electrical Data Centers. - Lekha Purushothaman; Tram Truong Huu; Mohan Gurusamy (AINA, 2017)

SDN-based dynamic flow scheduling in optical data centers. - Sharmila Tranquebar Girisankar; Tram Truong Huu; Mohan Gurusamy (COMSNETS, 2017)

Primary-Backup Controller Mapping for Byzantine Fault Tolerance in Software Defined Networks. - Purnima Murali Mohan; Tram Truong Huu; Mohan Gurusamy (GLOBECOM, 2017)

Flexible bandwidth allocation for big data transfer with deadline constraints. - Srinikethan Madapuzi Srinivasan; Tram Truong Huu; Mohan Gurusamy (ISCC, 2017)

Multi-controller Traffic Engineering in Software Defined Networks. - Vignesh Sridharan; Mohan Gurusamy; Tram Truong Huu (LCN, 2017)

Dynamic Flow Scheduling With Uncertain Flow Duration in Optical Data Centers. - Tram Truong Huu; Mohan Gurusamy; Sharmila Tranquebar Girisankar (IEEE Access, 2017)

Fault tolerance in TCAM-limited software defined networks. - Purnima Murali Mohan; Tram Truong Huu; Mohan Gurusamy (Comput. Networks, 2017)

On Multiple Controller Mapping in Software Defined Networks With Resilience Constraints. - Vignesh Sridharan; Mohan Gurusamy; Tram Truong Huu (IEEE Commun. Lett., 2017)

Towards resilient in-band control path routing with malicious switch detection in SDN. - Purnima Murali Mohan; Tram Truong Huu; Mohan Gurusamy (COMSNETS, 2018)

TE-Based Machine Learning Techniques for Link Fault Localization in Complex Networks. - Srinikethan Madapuzi Srinivasan; Tram Truong Huu; Mohan Gurusamy (FiCloud, 2018)

Game Theoretic Switch-Controller Mapping with Traffic Variations in Software Defined Networks. - Jayendhar Gautham Mohanasundaram; Tram Truong Huu; Mohan Gurusamy (GLOBECOM, 2018)

Deadline-Aware Scheduling and Flexible Bandwidth Allocation for Big-Data Transfers. - Srinikethan Madapuzi Srinivasan; Tram Truong Huu; Mohan Gurusamy (IEEE Access, 2018)

Fast and Adaptive Failure Recovery using Machine Learning in Software Defined Networks. - Tram Truong Huu; Prarthana Prathap; Purnima Murali Mohan; Mohan Gurusamy (ICC Workshops, 2019)

Crossfire Attack Detection Using Deep Learning in Software Defined ITS Networks. - Akash Raj Narayanadoss; Tram Truong Huu; Purnima Murali Mohan; Mohan Gurusamy (VTC Spring, 2019)

Service Chain Embedding for Diversified 5G Slices With Virtual Network Function Sharing. - Tram Truong Huu; Purnima Murali Mohan; Mohan Gurusamy (IEEE Commun. Lett., 2019)

Machine Learning-Based Link Fault Identification and Localization in Complex Networks. - Srinikethan Madapuzi Srinivasan; Tram Truong Huu; Mohan Gurusamy (IEEE Internet Things J., 2019)

Virtual Network Embedding in Ring Optical Data Centers Using Markov Chain Probability Model. - Tram Truong Huu; Purnima Murali Mohan; Mohan Gurusamy (IEEE Trans. Netw. Serv. Manag., 2019)

A Federated Learning Framework for Privacy-preserving and Parallel Training. - Tien-Dung Cao; Tram Truong Huu; Hien Duy Tran; Khanh Tran (CoRR, 2020)

Byzantine-Resilient Controller Mapping and Remapping in Software Defined Networks. - Purnima Murali Mohan; Tram Truong Huu; Mohan Gurusamy (IEEE Trans. Netw. Sci. Eng., 2020)

MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep Graph Convolution Neural Networks. - Thai-Dien Pham; Thien-Lac Ho; Tram Truong Huu; Tien-Dung Cao; Hong Linh Truong 001 (ACSAC, 2021)

ENAD: An Ensemble Framework for Unsupervised Network Anomaly Detection. - Jingyi Liao; Sin G. Teo; Partha Pratim Kundu; Tram Truong Huu (CSR, 2021)

An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator. - Cuong V. Nguyen; Tien-Dung Cao; Tram Truong Huu; Khanh N. Pham; Binh T. Nguyen 001 (CoRR, 2021)

Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model. - Yuchen Lan; Tram Truong Huu; Jiyan Wu; Sin G. Teo (ICDM (Workshops), 2022)

Enabling Awareness of Quality of Training and Costs in Federated Machine Learning Marketplaces. - Tien-Dung Cao; Hong-Linh Truong 001; Tram Truong Huu; Minh-Tri Nguyen (UCC, 2022)

A federated deep learning framework for privacy preservation and communication efficiency. - Tien-Dung Cao; Tram Truong Huu; Hien Tran; Khanh Tran (J. Syst. Archit., 2022)

Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning. - Mao V. Ngo; Tram Truong Huu; Dima Rabadi; Jia Yi Loo; Sin G. Teo (ACNS (1), 2023)

A Novel Feature Vector for AI-Assisted Windows Malware Detection. - Le Qi Yau; Yik Ting Lam; Ashwin Lokesh; Prannaya Gupta; Justin Lim; Ishneet Sukhvinder Singh; Jia Yi Loo; Mao V. Ngo; Sin G. Teo; Tram Truong Huu (DASC/PiCom/CBDCom/CyberSciTech, 2023)

PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection. - Yubo Hou; Tram Truong Huu; Zhenghua Chen; Chee-Keong Kwoh 001; Sin G. Teo (ICDM (Workshops), 2023)

Making distributed edge machine learning for resource-constrained communities and environments smarter: contexts and challenges. - Hong Linh Truong 001; Tram Truong Huu; Tien-Dung Cao (J. Reliab. Intell. Environ., 2023)

Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving. - Minh-Tri Nguyen; Hong Linh Truong 001; Tram Truong Huu (CAIN, 2024)

Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation. - Tien-Dung Cao; Nguyen T. Vuong; Thai Q. Le; Hoang V. N. Dao; Tram Truong Huu (CoRR, 2024)