SECURE CLOUD-BASED ENCRYPTED STRING SEARCH PLATFORM

Abstract

The rapid adoption of cloud computing has
significantly transformed data storage and
management by enabling scalable and costeffective
solutions for individuals and
organizations. However, outsourcing sensitive data
to cloud servers raises serious security and privacy
concerns, especially when encryption prevents
direct data retrieval and search operations. This
project proposes a secure cloud-based encrypted
string search platform using a lightweight
symmetric searchable encryption (SSE) scheme
that supports efficient and privacy-preserving
search functionality over encrypted data. Unlike
traditional encryption approaches, the proposed
system introduces a hash-chaining mechanism
instead of encryption chaining for index generation,
thereby reducing computational complexity and
improving performance. Additionally, probabilistic
trapdoors are utilized to enhance search pattern
privacy and prevent leakage of keyword frequency
and positional information to the cloud server. The
system ensures non-adaptive security against
honest-but-curious adversaries while maintaining
minimal information leakage. Furthermore, the
integration of secure image encryption extends
protection to visual data without compromising
search efficiency. The proposed framework requires
only a single round of communication and achieves
linear computational complexity, making it suitable
for real-world applications with large datasets.
Experimental validation demonstrates that the
system maintains high efficiency, scalability, and
strong security guarantees. Overall, this approach
provides a balanced solution that enhances
confidentiality, improves search accuracy, and
ensures efficient encrypted data retrieval in modern
cloud environments.