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Title GraphCrypto: Next generation data security approach towards sustainable smart city building
ID_Doc 37019
Authors Mishra, AK; Puthal, D; Tripathy, AK
Title GraphCrypto: Next generation data security approach towards sustainable smart city building
Year 2021
Published
DOI 10.1016/j.scs.2021.103056
Abstract Data confidentiality and integrity are essential security goals in the data communication in the smart city or similar applications. Despite significant changes in modern data communication systems and devices, the cryptosystems are still the primary option to achieve data security. Several cryptosystems have been developed, implemented and standardized to date. However, there is always a continuous demand for a new cryptosystem for providing security during data communication. In this paper, a novel symmetric cryptosystem is presented for achieving data confidentiality. The proposed cryptosystem is a graph-based system, where an algebraic structure of directed graphs along with a novel operation is defined to provide the base of the cryptosystem. Here, a directed graph represents a plaintext, a ciphertext, and a secret key as well. The defined operation is used for encrypting and decrypting plaintext and ciphertext graphs. The proposed cryptosystem provides a simplified transformation process and representation of plaintext to plaintext graph. The correctness of the proposed cryptosystem is validated, and also shown that the conventional brute-force approach to obtain the key from either plaintext or ciphertext is exponential and this computational time is significantly higher than AES. This implies that the proposed cryptosystem is highly secured against this attack. The proposed cryptosystem is implemented and compared with AES and the results infer that it incurs a marginally higher execution time than the AES for larger plaintext due to the involvement of matrix operations.
Author Keywords Smart city; Security; Data confidentiality; Symmetric cryptosystem; Graph-based cryptosystem; Graph algebraic structure
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000691549300005
WoS Category Construction & Building Technology; Green & Sustainable Science & Technology; Energy & Fuels
Research Area Construction & Building Technology; Science & Technology - Other Topics; Energy & Fuels
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