Uttam Ghosh, Ph.D., associate professor of cybersecurity, enjoyed a momentous IEEE International Conference on Communications (ICC). During the five-day event, he received a Best Paper Award, chaired a session, and delivered a workshop keynote address.
ICC is one of the premier events organized by the IEEE Communications Society. The five-day conference attracts nearly 2,000 participants annually from over 70 countries.
Dr. Ghosh was co-author for “Blockchain-Enabled Secure Device-to-Device Communication in Software-Defined Networking,” a Best Paper recipient for the ICC Workshop, BlOCKSECSDN: Blockchain for Secure Software-Defined Networking in Smart Communities. The paper, one of 17 accepted out of 43 submissions, was a collaboration with Oak Ridge National Laboratory.
“The paper explores the integration of blockchain technology with Software-Defined Networking, or SDN, to enhance the security of device-to-device communication, addressing critical vulnerabilities in modern networks,” says Dr. Ghosh. “The proposed framework leverages the decentralized nature of blockchain to secure communications in smart communities.”
Sachin Shetty, Ph.D., professor, Department of Electrical and Computer Engineering at Old Dominion University, Debashis Das, Ph.D., Meharry SACS postdoctoral fellow, and Nate Evans, Ph.D. senior cybersecurity researcher at Oak Ridge National Laboratory, were co-authors. Dr. Evans presented the paper at the conference.
“This award-winning research offers advanced security measures to protect data, fosters innovative research, and creates collaboration opportunities with leading institutions,” says Dr. Ghosh. “It also prepares students for future challenges, positioning Meharry as a leader in research innovation.”
Dr. Ghosh also delivered the keynote “Empowering Secure and Privacy-Preserving Data Sharing in Intelligent Healthcare Systems.” His keynote presented an edge-cloud interplay framework that facilitates efficient, secure, and privacy-preserving data sharing for intelligent healthcare systems.
The framework leverages software-defined 5G and AI-enabled distributed edge-cloud technologies to:
- Integrate AI/ML at the intelligent edge (IE) servers for classifying health care data and identifying patients’ potential medical conditions.
- Facilitate real-time service delivery using 5G slices and edge-cloud interplay.
- Ensure secure and privacy-preserving health data sharing through blockchain and homomorphic encryption-based federated learning.
“This achievement reflects the hard work and innovative thinking of our research team. Our goal is to address current security challenges while paving the way for future advancements,” he says.
Dr. Ghosh also wrote “FLAS: A Federated Learning Framework for Adaptive Security in Edge-Driven UAV Networks,” one of 939 papers accepted among 2,364 submissions in the main track of the conference.
The paper addresses unique security concerns in Unmanned Aerial Vehicle (UAV) networks, including data breaches, unauthorized access, and tampering. Dr. Ghosh collaborated with the Information Assurance Branch of the Air Force Research Lab in Rome, N.Y. on the research. They aim to enhance UAV network security and optimize resource utilization by distributing the learning process across the network’s edge.
Dr. Das, provided significant contributions to both conference papers.
“Dr. Das has been instrumental in the success of this research. His dedication and expertise have greatly enhanced our work, and this award recognizes his efforts as well as our team’s collaborative spirit.”
Dr. Ghosh also chaired the session “Applications of Aerial Communications.”
In the evolving fields of blockchain and secure networking, Dr. Ghosh, Dr. Das, and team look forward to further exploring secure and intelligent systems across various sectors, particularly health care.
