Abstract

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.

Authors

N. Devakirubai
R.P. Sarathy Institute of Technology, India

Keywords

Multi-Key Homomorphic Encryption, Privacy-Preserving Computation, 5G Security, Secure Wireless Networks, Computational Efficiency