The rapid expansion of 5G and beyond wireless networks has
introduced new security challenges, particularly in preserving data
privacy while enabling secure computations on encrypted data.
Traditional encryption schemes fail to provide efficient computation
without decryption, making them unsuitable for modern wireless
environments with stringent privacy requirements. Multi-Key
Homomorphic Encryption (MKHE) emerges as a viable solution,
allowing multiple users to encrypt data with distinct keys while still
enabling joint computation on the ciphertexts. This study proposes an
optimized MKHE framework tailored for 5G and beyond wireless
networks, addressing computational overhead and communication
latency. The proposed method incorporates an adaptive key
management mechanism and lightweight ciphertext aggregation to
enhance efficiency. Experimental results demonstrate a 23.7%
reduction in encryption time, a 19.4% improvement in computational
efficiency, and a 15.8% decrease in communication overhead
compared to conventional MKHE implementations. Additionally, the
scheme maintains a high level of security, resisting key-recovery and
chosen-ciphertext attacks.
N. Devakirubai
R.P. Sarathy Institute of Technology, India
Multi-Key Homomorphic Encryption, Privacy-Preserving Computation, 5G Security, Secure Wireless Networks, Computational Efficiency
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| Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 16 , Issue: 1 , Pages: 3437 - 3442 )
Date of Publication :
March 2025
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