UMBC ebiquity UMBC ebiquity

Redwan Walid
Redwan Walid

Ph.D. Student, Student

rwalid1@umbc.edu

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UMBC
Information Systems, 1000 Hilltop Circle, Baltimore, MD 21250

Redwan Walid is a Ph.D. student at the University of Maryland, Baltimore County (UMBC) advised by Dr. Karuna Joshi. His research interests lie in Cloud Computing Security, Data Analytics, and Data Protection. He is working on the Delegated Access Control using ABE project, looking at techniques for Cloud access control using Multi-Authority Attribute-Based Encryption.

Redwan Walid

Publications

2024

  1. R. Walid, K. P. Joshi, and S. Choi, "Leveraging semantic context to establish access controls for secure cloud-based electronic health records", Article, International Journal of Information Management Data Insights, April 2024, 528 downloads.
  2. R. Walid, K. P. Joshi, and S. Choi, "Comparison of attribute‑based encryption schemes in securing healthcare systems", Article, Scientific Reports, Nature, March 2024, 485 downloads.
  3. R. Walid, K. P. Joshi, and L. Elluri, "Secure and Privacy-Compliant Data Sharing: An Essential Framework for Healthcare Organizations", 10th International Conference on Mathematics and Computing ICMC 2024, January 2024, 324 downloads.

2023

  1. R. Walid, K. P. Joshi, and S. Choi, "Semantically Rich Differential Access to Secure Cloud EHR", InProceedings, 9th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2023), May 2023, 397 downloads.

2021

  1. R. Walid, K. P. Joshi, and S. Choi, "Secure Cloud EHR with Semantic Access Control, Searchable Encryption and Attribute Revocation", InProceedings, IEEE International Conference on Digital Health (ICDH) 2021 in IEEE World Congress on Services 2021, September 2021, 666 downloads.

2020

  1. R. Walid, K. P. Joshi, S. Choi, and D. L. Kim, "Cloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable Encryption", InProceedings, 7th International Workshop on Privacy and Security of Big Data (PSBD 2020), in conjunction with 2020 IEEE International Conference on Big Data (IEEE BigData 2020), December 2020, 848 downloads.

Assertions

  1. (Person) Karuna Pande Joshi advises (Person) Redwan Walid.