DEDUCT: A Secure Deduplication of Textual data in Cloud Environment

Mohd Abdul Muqeet; Wahaj Iqbal; Mohd Mohiuddin; Mr. Syed Mujeeb Ul Hassan

doi:10.62647/IJITCE2025V13I2sPP381-387

Authors

Mohd Abdul Muqeet B.E Students, Department of Information Technology, ISL Engineering College, Hyderabad, India. Author
Wahaj Iqbal B.E Students, Department of Information Technology, ISL Engineering College, Hyderabad, India. Author
Mohd Mohiuddin B.E Students, Department of Information Technology, ISL Engineering College, Hyderabad, India. Author
Mr. Syed Mujeeb Ul Hassan Associate Professor, Department of Information Technology, ISL Engineering College, Hyderabad, India. Author

DOI:

https://doi.org/10.62647/IJITCE2025V13I2sPP381-387

Keywords:

Data deduplication, Textual data compression, Cloud Storage, IOT devices, Storage efficiency, Secure data management, Touchdown dataset.

Abstract

The exponential growth of textual data in
Vision-and-Language Navigation tasks
poses significant challenges for data
management in large-scale storage
systems. Data deduplication has emerged
as a practical strategy for data reduction in
large-scale storage systems; however, it
has also raised security concerns. This
paper introduces DEDUCT, an innovative
data deduplication method for textual
data. DEDUCT employs a hybrid
approach that combines cloud-side and
client-side deduplication mechanisms to
achieve high compression rates while
maintaining data security. DEDUCT’s
lightweight preprocessing and client-side
deduplication make it suitable for
resource-constrained devices like IoT
devices. It has also been designed to resist
side-channel attacks. Experimental
evaluations on the touchdown dataset,
consisting of human written navigation
instructions for routers, demonstrate the
effectiveness of DEDUCT. It achieves
co,pression rates of nearly 66%, and
improved efficiency in large scale data
management systems.